2010 NCSL International Workshop and Symposium
|
|
- Belinda Brooks
- 3 years ago
- Views:
From this document you will learn the answers to the following questions:
What are the basic VARs?
What is the waveform that is recorded?
What does reactve power not transfer energy?
Transcription
1 Impact of Harmonc Current on Energy Meter Calbraton Speaker: Steven Wenzerl, Radan Research, Inc., 852 Fortune Drve, Lafayette, IN, 47905, USA, (765) , Authors: Shannon Edwards, Dave Bobck, and Steven Wenzerl, Radan Research, Inc. Abstract: Ths paper compares and contrasts dfferent methods to quantfy VAR for sngle and polyphase energy meters. The results for the dfferent methods wll be compared n the presence of dfferent realstc harmonc content scenaros, wth sometmes a 0x dfference seen n results between the methods. By understandng the dfferences between VAR methodologes n the presence of harmoncs, we can take the next steps towards metrology consensus and standardzaton on how to measure and calculate them. 1. Introducton As countres update ther energy polcy and nfrastructure and ncrease nvestment n smart grd technologes, there s greater awareness of power and energy measurements. Wth that comes greater awareness of the ncreasng gap between consumed real power (watts) and generated apparent power (VA). Furthermore, as electronc devces become more sophstcated wth ncreased semconductor content, there s a rapd prolferaton of hghly non-resstve and nonlnear loads. In fact, many of these new non-resstve and non-lnear devces are energyconservng devces such as dmmers, energy-effcent motors n new applances, and compact fluorescent lghts that are beng deployed as part of the new energy polces. Hstorcally, reactve power (VAR) has been used to quantfy the gap between consumed real power and generated apparent power of an AC electrc power system [1]. Reactve power comes from 2 man sources: 1. Phase angle dfference between the voltage and current sne waves, prmarly due to non-resstve behavor such as devce nductance or capactance. 2. Waveform dstorton from non-lnear behavor, prmarly due to harmonc content. VAR s easy to determne n the frst case of phase angle (non-resstve) contrbuton va a scalng factor of sn( ); therefore there s consensus among metrologsts and measurement experts on how to quantfy t. However, VAR n the second case due to harmonc currents from non-lnear loads s more complcated. Combned wth the fact that reactve power n general does not transfer energy, there s a lack consensus amongst metrologsts on how to measure and calculate VAR n the presence of harmonc content. Ironcally, the ssue s further compounded by the observaton that compared to older electromechancal meters, newer sold state meters have much smaller measurement error of actve energy (watts) when suppled wth actve harmonc energy [2]. However, the sold state meters have shown wdespread varaton n VAR results, hence a call for for an urgent nternatonal agreement [2]. Because the utltes that produce energy need to buld expensve base or peak generaton plants based on VA and are begnnng to charge consumers based on the VAR component, t s an mportant ssue of far commerce for a consensus to be acheved amongst metrologsts NCSL Internatonal Workshop and Symposum
2 Ths paper wll: Comple and revew the most common VAR calculatons. 9 dfferent ones are dentfed and dscussed. Propose 6 representatve waveforms (theoretcal and actual recorded) wth dfferng levels of harmoncs n them to compare the results of the 9 dfferent VAR calculatons. Contrbutons from harmoncs out to the 100 th order are ncluded. Compare the results of the 9 dfferent VAR calculatons across the 6 dfferent representatve waveforms. Make suggestons for next steps on how to proceed. 2. Complaton and revew of best-known VAR calculatons Because there s no standardzed nomenclature, the names for the methods were created by the authors and are now beng used wthn the ANSI C12.24 commttee. The 9 dentfed VAR calculatons are classfed nto broad types: Pure fundamental calculaton approprate for a pure snusodal whch by defnton ncludes the effects of only the frst harmonc and dscards contrbutons from hgher harmonc orders. Phase shft calculatons. Ths category has 5 varants wthn t: o Integral Phase Shft Method Fxed Frequency o Integral Phase Shft Method Exact Frequency o Dfferental Phase Shft Method o Quarter Cycle Delay Method o Cross Connected Phase Shft Method Vector calculatons. Ths category has 4 varants wthn t: o Vector Method usng VA RMS o Vector Method usng VA Average Respondng o Vector Method usng VA RMS & Fundamental Waveforms A glossary of symbols used n the formulae s gven at the end of the paper Fundamental calculaton VARs for each element are calculated by multplyng the fundamental of the voltage tmes the fundamental of the current tmes the sne of the phase angle between them: ~ ~ VAR = V I sn( θ) Where the fundamental RMS Voltage and Current are calculated: kt kt ~ 1 ~ V = V 2 ~ 1 ~ and I = I 2 kt kt 2010 NCSL Internatonal Workshop and Symposum
3 2.2. Phase shft VAR calculatons The geness behnd ths calculaton type s prmarly hstorcal: Early analog electromechancal meters could only measure actve (real) watthours. By ntroducng a known reactve element (typcally capactor and resstor network) nto the crcut to create a known 90 phase shft on the voltage axs, the watt-hour measurements of the meter could n essence be trcked nto measurng the reactve component. The added reactve element made the reactve porton of the power actve so the meter could measure t, and made the actve part reactve to be nvsble to the meter. Once two sdes (watts and VARs) of the power trangle are known, the thrd (VA) can be easly calculated from the power trangle as shown n Fg. 1 []: Fgure 1 Whle the phase shft method was a resourceful way to make the best use of avalable technology at the tme, ths method has shortcomngs because the selecton of the C and R values are frequency specfc: Although the phase shft was correct, t would cause ampltude dstorton as frequency changed. The prolferaton of the phase-shft technques was the result of future more sophstcated teratons of t to mnmze ts shortcomngs. Wthn the phase shft methods, there are ntegral (ntegraton) methods and dfferental (dfferentaton) methods. The concept s based on: sn cos and cos I.e., ntegratng the voltage axs gves a 90 phase shft. Dfferentaton works n a smlar manner. However: Integraton attenuates the ampltude of the harmoncs Dfferentaton amplfes the ampltude of the harmoncs Wth both, the ampltude dstorton s proportonal to the frequency. So whle the phase shft was acheved, t was at the expense of ampltude dstorton. These methods then renormalze the ampltude of the ntegrated (phase-shfted) voltage to create a voltage whose fundamental voltage would be dentcal n ampltude to the fundamental component of the voltage axs. Orgnally the frequency could not be measured n real tme so a fxed value (60Hz or 50Hz as approprate) was assumed; later the frequency was measured and used n the calculaton or the equvalent R and C values were assgned adaptvely n real tme NCSL Internatonal Workshop and Symposum
4 The equaton for the Integral Phase Shft Method Exact Frequency method s: kt VAR = ω I V kt Substtutng (2 60) or (2 50) as approprate for Method Fxed Frequency. The equaton for Dfferental Phase Shft Method s analogously: 1 kt dv VAR = I kt + ω 2010 NCSL Internatonal Workshop and Symposum gves the formula for Integral Phase Shft The Quarter Cycle Delay Method could be dgtally mplemented wth charge-coupled devces to acheve the phase shftng. Its advantage over the earler ntegral/dfferental phase shft methods s that t doesn t mpact the ampltude. Compared to the ntegraton method, t appeared to perodcally flp the sgn of a gven harmonc s contrbuton, and so more often than not wll make the VAR calculaton be more negatve. Its equaton s: kt 1 VAR = I ( t) V ( t T / 4) kt + Fnally, the Cross Connected Phase Shft Method s based on creatng a voltage that s 90 delayed from the voltage axs and adjustng the ampltude to match the ampltude of the voltage axs nput. The 90 delay s created by subtractng the voltage phase that s 240 behnd from the voltage phase that s 120 behnd. The ampltude s then adjusted by dvdng by. Ths phase shft and ampltude adjustment assumes that the voltages are balanced and spaced 120 apart. VARs for each element are calculated by multplyng the 90 -delayed ampltude-adjusted voltage tmes the current and ntegratng over the fundamental perod: ω kt VAR I [ xv ] kt = Where the 90 delayed and ampltude corrected voltages are: xv1 = ( V2 V ), xv2 = ( V V1 ), xv = ( V1 V2 ) Ths method has been used extensvely n -phase electromechancal meters. Its bggest shortcomngs are: The assumpton of balanced voltages across the phases. Ths s rarely true, gvng the wrong ampltude value n the calculaton. The assumpton that the voltage phases are exactly 120 apart (rarely true). 2.. Vector VAR calculatons These methods are all based on measurng VA and Watts, and calculatng VAR for each phase from the power trangle (Fg. 1):
5 where: VAR = VA 2 WATT 1 VA = V I and WATT = V I kt 2 kt VAR, Vector Method usng VA RMS uses the fundamental and all harmoncs n the calculaton: 1 kt V V kt 2 1 kt = and I I kt 2 = (Eq. 1) and then substtutng nto Eq. 1 and Eq. 2. (Eq. 2) VAR, Vector Method usng VA Average Respondng works smlarly n concept to the Smpson meter wth a D Arsonval meter movement [4]. It s worth a menton for hstorcal reasons: π 2 kt V V 4kT π 2 kt = and I I 4kT = One artfact s that the calculated average respondng VA can be less than the watts value, contradctng the power trangle shown n Fg. 1. Ths s because, for example, a voltage sgnal whch s 0 for some tme as n the case of a dmmer ends up wth a low average value. Hence why the RMS method s better. VAR, Sgned Vector Method usng VA RMS, & Fundamental Waveforms for polyphase meters attempts to prevent cancellng of sgns of dfferent harmoncs by gettng the sgn correct sn( θ ) wth a multplyng factor of : sn( θ ) VAR sn( θ ) = sn( θ ) VA 2010 NCSL Internatonal Workshop and Symposum 2 WATT 2 The rest of the equatons are the same as for VAR, Vector Method usng VA RMS. One practcal and obvous dffculty wth ths method s when =0 and the sgnng factor blows up. L Hôptal s rule [5] must be nvoked n realtme to determne whch nfnte value s smaller.. Waveforms The sx representatve waveforms used to compare the results of the calculatons consst of three theoretcal ones and three actual ones recorded n the feld. Ther names and short descrptons are gven here, wth pctures of them n the followng subsectons: Theoretcal: o Sne wave voltage, Sne wave current -60 lag. Current s laggng voltage, smulatng an nductor present n the load. Ths waveform s used as a realty check all VARs calculatons should be scaled by sn(60 ), or
6 o Sne wave voltage, Phase dmmng 90 conducton angle. Ths represents an energy-conscous consumer usng a lght dmmer at ½ power. o Narrow Current Pulse. Wth the prolferaton of swtchng and Pulse Wh Modulated (PWM) power supples [6], ths type of waveform mght be reflected back from the load to the lne. Actual ones: The Natonal Research Councl Canada (NRC) recorded actual waveforms (WF) at a varety of stes n the feld; labeled them to anonymze them; archved them; and made them avalable upon request. Whle the waveforms may look unbelevable, they are ndeed real. Usng a dgtal frequency transformer, we parameterzed them nto harmoncs components out to 100 th order to run them through varous closed-form VARs calculatons gven n Secton 2. o NRC WF 2. Actual waveform recorded n the feld. Its V and I waveforms are farly symmetrc, wth the V waveform havng smaller hgh frequency spkes and I waveform have larger ampltude, lower frequency harmoncs. o NRC WF Actual waveform recorded n the feld. Its V waveform s asymmetrc, ndcatng the presence of more even harmoncs. o NRC WF Actual waveform recorded n the feld. Its V waveform s mostly symmetrc but has sgnfcant spkes and sags. The I waveform s nearly square, ndcatng many hgh order harmoncs. To better enable comparsons, all waveforms have been normalzed to 1Vrms and 1Arms,.e., 1VArms..1. Sne wave voltage, Sne wave current -60 Lag.2. Sne wave voltage, Phase dmmng 90 conducton angle 2010 NCSL Internatonal Workshop and Symposum
7 .. Narrow Current Pulse.4. NRC WF 2.5. NRC WF NRC WF NCSL Internatonal Workshop and Symposum
8 4. Results and dscusson A graphcal summary of the results comparng the dfferent VARs calculatons for the dfferent waveforms s gven below: Calculated VAR (watts) Sne Wave, 60 Lag Phase Dmmng, 90 Conducton Angle Imagnary, VA < W Narrow Current Pulse Fundamental Waveform Method Integral Phase Shft Method 60 Hz Fxed Integral Phase Shft Method Exact Frequency Dfferental Phase Shft Method Quarter Cycle Delay Method Cross Connected Phase Shft Method Vector Method usng VA RMS Vector Method usng VA Average Respondng Sgned Vector Method usng VA RMS & Fundamental Waveforms NRC WF 2 NRC WF19140 NRC WF16216 Observatons on the results for each of the waveforms are as follows: Sne wave voltage, Sne wave current -60 lag. As expected and hoped, all VARs methods return the same value of 0.866, so ths realty check s passed. Sne wave voltage, Phase dmmng 90 conducton angle. o All ntegral phase shft methods gave the same value of because the ~ voltage waveform used was a pure sne wave (no harmoncs),.e., V = 0 n ~ ~ VAR = V I sn( θ ) for 1. o The vector methods gave notceably hgher values versus the phase-shft methods because the phase-shft methods mss the contrbutons of the harmoncs. o All the vector RMS methods gave dentcal values of However the vector average respondng method was the clear outler wth a much lower value of because the voltage sgnal s 0 for an apprecable tme, causng a lower average value. Narrow Current Pulse. Smlar comparson as the prevous case of phase dmmng: 2010 NCSL Internatonal Workshop and Symposum
9 o All ntegral phase shft methods gave the same value, but t s 0 they totally mssed the energy. Ths s because the voltage waveform used was a pure sne ~ wave (no harmoncs),.e., V = 0 for NCSL Internatonal Workshop and Symposum o The vector methods gave notceably hgher values versus the ntegral methods the ntegral methods were mssng energy contrbutons from hgher harmoncs. o All the vector RMS methods gave dentcal methods of The vector average respondng method was agan the clear outler of the group wth a much smaller value because the voltage sgnal s 0 for an apprecable tme. In fact, ts VAR value was magnary because erroneously VA < Watt n the radcal. NRC WF 2. The RMS vector methods show hghest magntude because they detect the hgher harmoncs on both the V and I axes. The dfferental phase shft method s notceably lower, most lkely because harmoncs wth negatve sgns got amplfed by the dfferental phase-shft method and erroneously over-subtracted from the overall total. The vector average respondng s lower because the I waveform s near zero for an apprecable tme. NRC WF Here s a case wth 0x dfferences between results. The phase-shft methods are erroneously lower because a pure voltage sne wave was assumed and they re mssng the contrbutons from the hgher even harmoncs. Agan the dfferental phase-shft method s lower as t s lkely amplfyng a negatve harmonc and oversubtractng ts contrbuton. NRC WF Fnally, a case where there s dsagreement between the vector VA RMS methods. VA RMS s by defnton usng all postve quanttes, so n ths case the VAR, Sgned Vector Method usng VA RMS, & Fundamental Waveforms (last green bar) accounts for contrbutons from negatve harmoncs and could be more correct. 5. Conclusons Sgnfcant dfferences are seen n VAR results on a varety of waveforms. Dfferences are seen n both sgn and order of magntude, and the agreement gets worse as the harmonc content ncreases. Due to the prolferaton of already-nstalled electrc meters wth the dfferent VARs methods, suggestng or mandatng a sngle standard method and then retrofttng the feld s mpractcal. The best course of acton s for manufacturers, utltes, and consumers to be aware of the dfferences and act accordngly. The core ssue s equty n bllng n the presence of large harmonc content n both the voltage and current waveforms n the power grd. The power trangle (Eq. 1) only works for snusodal waveforms and so s no longer vald. Measurng real consumed power (watts) and reactve power (VARs) separately s n a sense a hstorcal crutch whch started out because the orgnal meters could only measure real power.
10 The technology now exsts to measure meter VA and VA-h at the pont of use. Whle there stll needs to be consensus among metrologsts on VA measurements, that t much more lkely to happen than achevng consensus on VAR measurements. Because VA s more drectly related to actual cost of generaton and more lkely to acheve consensus on ts measurement, t mght make sense to start wth VA and address VARs later. 6. Acknowledgements The authors gratefully acknowledge the excellent nputs from, and dscussons wth, the members of the ANSI C12.24 commttee. 7. References The Regstraton of Harmonc Power by Analog and Dgtal Power Meters, Johan Dresen, Therry Van Craenenbroeck, and Danel Van Dommelen, IEEE Transactons on Instrumentaton and Measurement, vol. 47, no. 1, Feb. 1998, pp Handbook for Electrcty Meterng, 10 th eon, Edson Electrc Insttute, pp. 1-21, Glossary Index represents the th phase n the poly-phase network. =1 sngle-phase, maxmum s for three-phase. V ~ I ~ ˆ V ( h ) ˆ I ( h) = Potental component fundamental (1 st harmonc order) = Current component fundamental (1 st harmonc order) = Potental component for harmonc order (h) = Current component for harmonc order (h) (h) = Phase angle of the potental for harmonc order (h) (h) = Phase angle of the current for harmonc order (h) V = Generalzed potental waveform (fundamental and all harmoncs) I = Generalzed current waveform (fundamental and all harmoncs) = Phase angle between the fundamental potental and current, (1) mnus (1) t = VAR-hour and VA-hour ntegraton nterval measured n seconds T = Fundamental perod k = Number of fundamental perods = Fundamental angular frequency = 2 f 0, where f 0 s the fundamental frequency = Start tme of ntegraton = Generally represents the norm of the wave functon: 1-norm (Average) or 2010 NCSL Internatonal Workshop and Symposum
11 2-norm RMS. X = Absolute value of X bv = Blondel Theorem transformed Voltages bv =, bv 2 = 0, bv = V V2 1 V1 V NCSL Internatonal Workshop and Symposum
An Alternative Way to Measure Private Equity Performance
An Alternatve Way to Measure Prvate Equty Performance Peter Todd Parlux Investment Technology LLC Summary Internal Rate of Return (IRR) s probably the most common way to measure the performance of prvate
More information1. Measuring association using correlation and regression
How to measure assocaton I: Correlaton. 1. Measurng assocaton usng correlaton and regresson We often would lke to know how one varable, such as a mother's weght, s related to another varable, such as a
More informationCalculation of Sampling Weights
Perre Foy Statstcs Canada 4 Calculaton of Samplng Weghts 4.1 OVERVIEW The basc sample desgn used n TIMSS Populatons 1 and 2 was a two-stage stratfed cluster desgn. 1 The frst stage conssted of a sample
More informationAnswer: A). There is a flatter IS curve in the high MPC economy. Original LM LM after increase in M. IS curve for low MPC economy
4.02 Quz Solutons Fall 2004 Multple-Choce Questons (30/00 ponts) Please, crcle the correct answer for each of the followng 0 multple-choce questons. For each queston, only one of the answers s correct.
More informationChapter 12 Inductors and AC Circuits
hapter Inductors and A rcuts awrence B. ees 6. You may make a sngle copy of ths document for personal use wthout wrtten permsson. Hstory oncepts from prevous physcs and math courses that you wll need for
More informationComparison of Control Strategies for Shunt Active Power Filter under Different Load Conditions
Comparson of Control Strateges for Shunt Actve Power Flter under Dfferent Load Condtons Sanjay C. Patel 1, Tushar A. Patel 2 Lecturer, Electrcal Department, Government Polytechnc, alsad, Gujarat, Inda
More informationVRT012 User s guide V0.1. Address: Žirmūnų g. 27, Vilnius LT-09105, Phone: (370-5) 2127472, Fax: (370-5) 276 1380, Email: info@teltonika.
VRT012 User s gude V0.1 Thank you for purchasng our product. We hope ths user-frendly devce wll be helpful n realsng your deas and brngng comfort to your lfe. Please take few mnutes to read ths manual
More informationStudy on Model of Risks Assessment of Standard Operation in Rural Power Network
Study on Model of Rsks Assessment of Standard Operaton n Rural Power Network Qngj L 1, Tao Yang 2 1 Qngj L, College of Informaton and Electrcal Engneerng, Shenyang Agrculture Unversty, Shenyang 110866,
More informationFaraday's Law of Induction
Introducton Faraday's Law o Inducton In ths lab, you wll study Faraday's Law o nducton usng a wand wth col whch swngs through a magnetc eld. You wll also examne converson o mechanc energy nto electrc energy
More informationSIMPLE LINEAR CORRELATION
SIMPLE LINEAR CORRELATION Smple lnear correlaton s a measure of the degree to whch two varables vary together, or a measure of the ntensty of the assocaton between two varables. Correlaton often s abused.
More informationMultiple-Period Attribution: Residuals and Compounding
Multple-Perod Attrbuton: Resduals and Compoundng Our revewer gave these authors full marks for dealng wth an ssue that performance measurers and vendors often regard as propretary nformaton. In 1994, Dens
More informationSection 5.4 Annuities, Present Value, and Amortization
Secton 5.4 Annutes, Present Value, and Amortzaton Present Value In Secton 5.2, we saw that the present value of A dollars at nterest rate per perod for n perods s the amount that must be deposted today
More informationCalculating the high frequency transmission line parameters of power cables
< ' Calculatng the hgh frequency transmsson lne parameters of power cables Authors: Dr. John Dcknson, Laboratory Servces Manager, N 0 RW E B Communcatons Mr. Peter J. Ncholson, Project Assgnment Manager,
More informationImplementation of Deutsch's Algorithm Using Mathcad
Implementaton of Deutsch's Algorthm Usng Mathcad Frank Roux The followng s a Mathcad mplementaton of Davd Deutsch's quantum computer prototype as presented on pages - n "Machnes, Logc and Quantum Physcs"
More informationRESEARCH ON DUAL-SHAKER SINE VIBRATION CONTROL. Yaoqi FENG 1, Hanping QIU 1. China Academy of Space Technology (CAST) yaoqi.feng@yahoo.
ICSV4 Carns Australa 9- July, 007 RESEARCH ON DUAL-SHAKER SINE VIBRATION CONTROL Yaoq FENG, Hanpng QIU Dynamc Test Laboratory, BISEE Chna Academy of Space Technology (CAST) yaoq.feng@yahoo.com Abstract
More informationIS-LM Model 1 C' dy = di
- odel Solow Assumptons - demand rrelevant n long run; assumes economy s operatng at potental GDP; concerned wth growth - Assumptons - supply s rrelevant n short run; assumes economy s operatng below potental
More informationCan Auto Liability Insurance Purchases Signal Risk Attitude?
Internatonal Journal of Busness and Economcs, 2011, Vol. 10, No. 2, 159-164 Can Auto Lablty Insurance Purchases Sgnal Rsk Atttude? Chu-Shu L Department of Internatonal Busness, Asa Unversty, Tawan Sheng-Chang
More informationCHOLESTEROL REFERENCE METHOD LABORATORY NETWORK. Sample Stability Protocol
CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK Sample Stablty Protocol Background The Cholesterol Reference Method Laboratory Network (CRMLN) developed certfcaton protocols for total cholesterol, HDL
More informationRotation Kinematics, Moment of Inertia, and Torque
Rotaton Knematcs, Moment of Inerta, and Torque Mathematcally, rotaton of a rgd body about a fxed axs s analogous to a lnear moton n one dmenson. Although the physcal quanttes nvolved n rotaton are qute
More informationLaws of Electromagnetism
There are four laws of electromagnetsm: Laws of Electromagnetsm The law of Bot-Savart Ampere's law Force law Faraday's law magnetc feld generated by currents n wres the effect of a current on a loop of
More informationCausal, Explanatory Forecasting. Analysis. Regression Analysis. Simple Linear Regression. Which is Independent? Forecasting
Causal, Explanatory Forecastng Assumes cause-and-effect relatonshp between system nputs and ts output Forecastng wth Regresson Analyss Rchard S. Barr Inputs System Cause + Effect Relatonshp The job of
More informationIDENTIFICATION AND CORRECTION OF A COMMON ERROR IN GENERAL ANNUITY CALCULATIONS
IDENTIFICATION AND CORRECTION OF A COMMON ERROR IN GENERAL ANNUITY CALCULATIONS Chrs Deeley* Last revsed: September 22, 200 * Chrs Deeley s a Senor Lecturer n the School of Accountng, Charles Sturt Unversty,
More informationLecture 3: Annuity. Study annuities whose payments form a geometric progression or a arithmetic progression.
Lecture 3: Annuty Goals: Learn contnuous annuty and perpetuty. Study annutes whose payments form a geometrc progresson or a arthmetc progresson. Dscuss yeld rates. Introduce Amortzaton Suggested Textbook
More informationSimple Interest Loans (Section 5.1) :
Chapter 5 Fnance The frst part of ths revew wll explan the dfferent nterest and nvestment equatons you learned n secton 5.1 through 5.4 of your textbook and go through several examples. The second part
More informationA Secure Password-Authenticated Key Agreement Using Smart Cards
A Secure Password-Authentcated Key Agreement Usng Smart Cards Ka Chan 1, Wen-Chung Kuo 2 and Jn-Chou Cheng 3 1 Department of Computer and Informaton Scence, R.O.C. Mltary Academy, Kaohsung 83059, Tawan,
More informationDEFINING %COMPLETE IN MICROSOFT PROJECT
CelersSystems DEFINING %COMPLETE IN MICROSOFT PROJECT PREPARED BY James E Aksel, PMP, PMI-SP, MVP For Addtonal Informaton about Earned Value Management Systems and reportng, please contact: CelersSystems,
More informationRecurrence. 1 Definitions and main statements
Recurrence 1 Defntons and man statements Let X n, n = 0, 1, 2,... be a MC wth the state space S = (1, 2,...), transton probabltes p j = P {X n+1 = j X n = }, and the transton matrx P = (p j ),j S def.
More informationAn Isolated Feedback Circuit for a Flyback Charging Circuit
Proceedngs of the 007 WSEAS Int. Conference on Crcuts, Systems, Sgnal and Telecommuncatons, Gold Coast, Australa, January 17-19, 007 35 An Isolated Feedback Crcut for a Flyback Chargng Crcut LI JIE, HUAG
More informationStaff Paper. Farm Savings Accounts: Examining Income Variability, Eligibility, and Benefits. Brent Gloy, Eddy LaDue, and Charles Cuykendall
SP 2005-02 August 2005 Staff Paper Department of Appled Economcs and Management Cornell Unversty, Ithaca, New York 14853-7801 USA Farm Savngs Accounts: Examnng Income Varablty, Elgblty, and Benefts Brent
More information8.5 UNITARY AND HERMITIAN MATRICES. The conjugate transpose of a complex matrix A, denoted by A*, is given by
6 CHAPTER 8 COMPLEX VECTOR SPACES 5. Fnd the kernel of the lnear transformaton gven n Exercse 5. In Exercses 55 and 56, fnd the mage of v, for the ndcated composton, where and are gven by the followng
More informationForecasting the Direction and Strength of Stock Market Movement
Forecastng the Drecton and Strength of Stock Market Movement Jngwe Chen Mng Chen Nan Ye cjngwe@stanford.edu mchen5@stanford.edu nanye@stanford.edu Abstract - Stock market s one of the most complcated systems
More informationCalibration and Linear Regression Analysis: A Self-Guided Tutorial
Calbraton and Lnear Regresson Analyss: A Self-Guded Tutoral Part The Calbraton Curve, Correlaton Coeffcent and Confdence Lmts CHM314 Instrumental Analyss Department of Chemstry, Unversty of Toronto Dr.
More informationTexas Instruments 30X IIS Calculator
Texas Instruments 30X IIS Calculator Keystrokes for the TI-30X IIS are shown for a few topcs n whch keystrokes are unque. Start by readng the Quk Start secton. Then, before begnnng a specfc unt of the
More informationMarginal Benefit Incidence Analysis Using a Single Cross-section of Data. Mohamed Ihsan Ajwad and Quentin Wodon 1. World Bank.
Margnal Beneft Incdence Analyss Usng a Sngle Cross-secton of Data Mohamed Ihsan Ajwad and uentn Wodon World Bank August 200 Abstract In a recent paper, Lanjouw and Ravallon proposed an attractve and smple
More informationbenefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ).
REVIEW OF RISK MANAGEMENT CONCEPTS LOSS DISTRIBUTIONS AND INSURANCE Loss and nsurance: When someone s subject to the rsk of ncurrng a fnancal loss, the loss s generally modeled usng a random varable or
More informationLinear Circuits Analysis. Superposition, Thevenin /Norton Equivalent circuits
Lnear Crcuts Analyss. Superposton, Theenn /Norton Equalent crcuts So far we hae explored tmendependent (resste) elements that are also lnear. A tmendependent elements s one for whch we can plot an / cure.
More informationThe OC Curve of Attribute Acceptance Plans
The OC Curve of Attrbute Acceptance Plans The Operatng Characterstc (OC) curve descrbes the probablty of acceptng a lot as a functon of the lot s qualty. Fgure 1 shows a typcal OC Curve. 10 8 6 4 1 3 4
More informationProblem Set 3. a) We are asked how people will react, if the interest rate i on bonds is negative.
Queston roblem Set 3 a) We are asked how people wll react, f the nterest rate on bonds s negatve. When
More informationBERNSTEIN POLYNOMIALS
On-Lne Geometrc Modelng Notes BERNSTEIN POLYNOMIALS Kenneth I. Joy Vsualzaton and Graphcs Research Group Department of Computer Scence Unversty of Calforna, Davs Overvew Polynomals are ncredbly useful
More informationFixed income risk attribution
5 Fxed ncome rsk attrbuton Chthra Krshnamurth RskMetrcs Group chthra.krshnamurth@rskmetrcs.com We compare the rsk of the actve portfolo wth that of the benchmark and segment the dfference between the two
More information1 Example 1: Axis-aligned rectangles
COS 511: Theoretcal Machne Learnng Lecturer: Rob Schapre Lecture # 6 Scrbe: Aaron Schld February 21, 2013 Last class, we dscussed an analogue for Occam s Razor for nfnte hypothess spaces that, n conjuncton
More informationCHAPTER 5 RELATIONSHIPS BETWEEN QUANTITATIVE VARIABLES
CHAPTER 5 RELATIONSHIPS BETWEEN QUANTITATIVE VARIABLES In ths chapter, we wll learn how to descrbe the relatonshp between two quanttatve varables. Remember (from Chapter 2) that the terms quanttatve varable
More informationHALL EFFECT SENSORS AND COMMUTATION
OEM770 5 Hall Effect ensors H P T E R 5 Hall Effect ensors The OEM770 works wth three-phase brushless motors equpped wth Hall effect sensors or equvalent feedback sgnals. In ths chapter we wll explan how
More informationSchedulability Bound of Weighted Round Robin Schedulers for Hard Real-Time Systems
Schedulablty Bound of Weghted Round Robn Schedulers for Hard Real-Tme Systems Janja Wu, Jyh-Charn Lu, and We Zhao Department of Computer Scence, Texas A&M Unversty {janjaw, lu, zhao}@cs.tamu.edu Abstract
More informationLecture 2: Single Layer Perceptrons Kevin Swingler
Lecture 2: Sngle Layer Perceptrons Kevn Sngler kms@cs.str.ac.uk Recap: McCulloch-Ptts Neuron Ths vastly smplfed model of real neurons s also knon as a Threshold Logc Unt: W 2 A Y 3 n W n. A set of synapses
More information7.5. Present Value of an Annuity. Investigate
7.5 Present Value of an Annuty Owen and Anna are approachng retrement and are puttng ther fnances n order. They have worked hard and nvested ther earnngs so that they now have a large amount of money on
More informationWhat is Candidate Sampling
What s Canddate Samplng Say we have a multclass or mult label problem where each tranng example ( x, T ) conssts of a context x a small (mult)set of target classes T out of a large unverse L of possble
More informationHow To Calculate The Accountng Perod Of Nequalty
Inequalty and The Accountng Perod Quentn Wodon and Shlomo Ytzha World Ban and Hebrew Unversty September Abstract Income nequalty typcally declnes wth the length of tme taen nto account for measurement.
More informationSPEE Recommended Evaluation Practice #6 Definition of Decline Curve Parameters Background:
SPEE Recommended Evaluaton Practce #6 efnton of eclne Curve Parameters Background: The producton hstores of ol and gas wells can be analyzed to estmate reserves and future ol and gas producton rates and
More informationFINAL REPORT. City of Toronto. Contract 47016555. Project No: B000203-3
Cty of Toronto SAFETY IMPACTS AD REGULATIOS OF ELECTROIC STATIC ROADSIDE ADVERTISIG SIGS TECHICAL MEMORADUM #2C BEFORE/AFTER COLLISIO AALYSIS AT SIGALIZED ITERSECTIO FIAL REPORT 3027 Harvester Road, Sute
More informationAn Evaluation of the Extended Logistic, Simple Logistic, and Gompertz Models for Forecasting Short Lifecycle Products and Services
An Evaluaton of the Extended Logstc, Smple Logstc, and Gompertz Models for Forecastng Short Lfecycle Products and Servces Charles V. Trappey a,1, Hsn-yng Wu b a Professor (Management Scence), Natonal Chao
More informationA Simplified Framework for Return Accountability
Reprnted wth permsson from Fnancal Analysts Journal, May/June 1991. Copyrght 1991. Assocaton for Investment Management and Research, Charlottesvlle, VA. All rghts reserved. by Gary P. Brnson, Bran D. Snger
More informationSTANDING WAVE TUBE TECHNIQUES FOR MEASURING THE NORMAL INCIDENCE ABSORPTION COEFFICIENT: COMPARISON OF DIFFERENT EXPERIMENTAL SETUPS.
STADIG WAVE TUBE TECHIQUES FOR MEASURIG THE ORMAL ICIDECE ABSORPTIO COEFFICIET: COMPARISO OF DIFFERET EXPERIMETAL SETUPS. Angelo Farna (*), Patrzo Faust (**) (*) Dpart. d Ing. Industrale, Unverstà d Parma,
More informationwhere the coordinates are related to those in the old frame as follows.
Chapter 2 - Cartesan Vectors and Tensors: Ther Algebra Defnton of a vector Examples of vectors Scalar multplcaton Addton of vectors coplanar vectors Unt vectors A bass of non-coplanar vectors Scalar product
More informationWorld Economic Vulnerability Monitor (WEVUM) Trade shock analysis
World Economc Vulnerablty Montor (WEVUM) Trade shock analyss Measurng the mpact of the global shocks on trade balances va prce and demand effects Alex Izureta and Rob Vos UN DESA 1. Non-techncal descrpton
More informationThe circuit shown on Figure 1 is called the common emitter amplifier circuit. The important subsystems of this circuit are:
polar Juncton Transstor rcuts Voltage and Power Amplfer rcuts ommon mtter Amplfer The crcut shown on Fgure 1 s called the common emtter amplfer crcut. The mportant subsystems of ths crcut are: 1. The basng
More informationQuantization Effects in Digital Filters
Quantzaton Effects n Dgtal Flters Dstrbuton of Truncaton Errors In two's complement representaton an exact number would have nfntely many bts (n general). When we lmt the number of bts to some fnte value
More informationHow Sets of Coherent Probabilities May Serve as Models for Degrees of Incoherence
1 st Internatonal Symposum on Imprecse Probabltes and Ther Applcatons, Ghent, Belgum, 29 June 2 July 1999 How Sets of Coherent Probabltes May Serve as Models for Degrees of Incoherence Mar J. Schervsh
More information"Research Note" APPLICATION OF CHARGE SIMULATION METHOD TO ELECTRIC FIELD CALCULATION IN THE POWER CABLES *
Iranan Journal of Scence & Technology, Transacton B, Engneerng, ol. 30, No. B6, 789-794 rnted n The Islamc Republc of Iran, 006 Shraz Unversty "Research Note" ALICATION OF CHARGE SIMULATION METHOD TO ELECTRIC
More informationConversion between the vector and raster data structures using Fuzzy Geographical Entities
Converson between the vector and raster data structures usng Fuzzy Geographcal Enttes Cdála Fonte Department of Mathematcs Faculty of Scences and Technology Unversty of Combra, Apartado 38, 3 454 Combra,
More informationIntra-year Cash Flow Patterns: A Simple Solution for an Unnecessary Appraisal Error
Intra-year Cash Flow Patterns: A Smple Soluton for an Unnecessary Apprasal Error By C. Donald Wggns (Professor of Accountng and Fnance, the Unversty of North Florda), B. Perry Woodsde (Assocate Professor
More informationThe Full-Wave Rectifier
9/3/2005 The Full Wae ectfer.doc /0 The Full-Wae ectfer Consder the followng juncton dode crcut: s (t) Power Lne s (t) 2 Note that we are usng a transformer n ths crcut. The job of ths transformer s to
More informationInstitute of Informatics, Faculty of Business and Management, Brno University of Technology,Czech Republic
Lagrange Multplers as Quanttatve Indcators n Economcs Ivan Mezník Insttute of Informatcs, Faculty of Busness and Management, Brno Unversty of TechnologCzech Republc Abstract The quanttatve role of Lagrange
More informationIMPACT ANALYSIS OF A CELLULAR PHONE
4 th ASA & μeta Internatonal Conference IMPACT AALYSIS OF A CELLULAR PHOE We Lu, 2 Hongy L Bejng FEAonlne Engneerng Co.,Ltd. Bejng, Chna ABSTRACT Drop test smulaton plays an mportant role n nvestgatng
More informationInter-Ing 2007. INTERDISCIPLINARITY IN ENGINEERING SCIENTIFIC INTERNATIONAL CONFERENCE, TG. MUREŞ ROMÂNIA, 15-16 November 2007.
Inter-Ing 2007 INTERDISCIPLINARITY IN ENGINEERING SCIENTIFIC INTERNATIONAL CONFERENCE, TG. MUREŞ ROMÂNIA, 15-16 November 2007. UNCERTAINTY REGION SIMULATION FOR A SERIAL ROBOT STRUCTURE MARIUS SEBASTIAN
More informationThe Greedy Method. Introduction. 0/1 Knapsack Problem
The Greedy Method Introducton We have completed data structures. We now are gong to look at algorthm desgn methods. Often we are lookng at optmzaton problems whose performance s exponental. For an optmzaton
More informationAn Analysis of Central Processor Scheduling in Multiprogrammed Computer Systems
STAN-CS-73-355 I SU-SE-73-013 An Analyss of Central Processor Schedulng n Multprogrammed Computer Systems (Dgest Edton) by Thomas G. Prce October 1972 Techncal Report No. 57 Reproducton n whole or n part
More informationAnalysis of Premium Liabilities for Australian Lines of Business
Summary of Analyss of Premum Labltes for Australan Lnes of Busness Emly Tao Honours Research Paper, The Unversty of Melbourne Emly Tao Acknowledgements I am grateful to the Australan Prudental Regulaton
More informationTHE METHOD OF LEAST SQUARES THE METHOD OF LEAST SQUARES
The goal: to measure (determne) an unknown quantty x (the value of a RV X) Realsaton: n results: y 1, y 2,..., y j,..., y n, (the measured values of Y 1, Y 2,..., Y j,..., Y n ) every result s encumbered
More informationThe Development of Web Log Mining Based on Improve-K-Means Clustering Analysis
The Development of Web Log Mnng Based on Improve-K-Means Clusterng Analyss TngZhong Wang * College of Informaton Technology, Luoyang Normal Unversty, Luoyang, 471022, Chna wangtngzhong2@sna.cn Abstract.
More informationTime Value of Money. Types of Interest. Compounding and Discounting Single Sums. Page 1. Ch. 6 - The Time Value of Money. The Time Value of Money
Ch. 6 - The Tme Value of Money Tme Value of Money The Interest Rate Smple Interest Compound Interest Amortzng a Loan FIN21- Ahmed Y, Dasht TIME VALUE OF MONEY OR DISCOUNTED CASH FLOW ANALYSIS Very Important
More informationn + d + q = 24 and.05n +.1d +.25q = 2 { n + d + q = 24 (3) n + 2d + 5q = 40 (2)
MATH 16T Exam 1 : Part I (In-Class) Solutons 1. (0 pts) A pggy bank contans 4 cons, all of whch are nckels (5 ), dmes (10 ) or quarters (5 ). The pggy bank also contans a con of each denomnaton. The total
More informationA Novel Methodology of Working Capital Management for Large. Public Constructions by Using Fuzzy S-curve Regression
Novel Methodology of Workng Captal Management for Large Publc Constructons by Usng Fuzzy S-curve Regresson Cheng-Wu Chen, Morrs H. L. Wang and Tng-Ya Hseh Department of Cvl Engneerng, Natonal Central Unversty,
More information21 Vectors: The Cross Product & Torque
21 Vectors: The Cross Product & Torque Do not use our left hand when applng ether the rght-hand rule for the cross product of two vectors dscussed n ths chapter or the rght-hand rule for somethng curl
More informationSection 5.3 Annuities, Future Value, and Sinking Funds
Secton 5.3 Annutes, Future Value, and Snkng Funds Ordnary Annutes A sequence of equal payments made at equal perods of tme s called an annuty. The tme between payments s the payment perod, and the tme
More informationRisk-based Fatigue Estimate of Deep Water Risers -- Course Project for EM388F: Fracture Mechanics, Spring 2008
Rsk-based Fatgue Estmate of Deep Water Rsers -- Course Project for EM388F: Fracture Mechancs, Sprng 2008 Chen Sh Department of Cvl, Archtectural, and Envronmental Engneerng The Unversty of Texas at Austn
More informationTime Domain simulation of PD Propagation in XLPE Cables Considering Frequency Dependent Parameters
Internatonal Journal of Smart Grd and Clean Energy Tme Doman smulaton of PD Propagaton n XLPE Cables Consderng Frequency Dependent Parameters We Zhang a, Jan He b, Ln Tan b, Xuejun Lv b, Hong-Je L a *
More informationTime Value of Money Module
Tme Value of Money Module O BJECTIVES After readng ths Module, you wll be able to: Understand smple nterest and compound nterest. 2 Compute and use the future value of a sngle sum. 3 Compute and use the
More informationLaddered Multilevel DC/AC Inverters used in Solar Panel Energy Systems
Proceedngs of the nd Internatonal Conference on Computer Scence and Electroncs Engneerng (ICCSEE 03) Laddered Multlevel DC/AC Inverters used n Solar Panel Energy Systems Fang Ln Luo, Senor Member IEEE
More informationOn the Optimal Control of a Cascade of Hydro-Electric Power Stations
On the Optmal Control of a Cascade of Hydro-Electrc Power Statons M.C.M. Guedes a, A.F. Rbero a, G.V. Smrnov b and S. Vlela c a Department of Mathematcs, School of Scences, Unversty of Porto, Portugal;
More informationModule 2 LOSSLESS IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur
Module LOSSLESS IMAGE COMPRESSION SYSTEMS Lesson 3 Lossless Compresson: Huffman Codng Instructonal Objectves At the end of ths lesson, the students should be able to:. Defne and measure source entropy..
More informationFrequency Selective IQ Phase and IQ Amplitude Imbalance Adjustments for OFDM Direct Conversion Transmitters
Frequency Selectve IQ Phase and IQ Ampltude Imbalance Adjustments for OFDM Drect Converson ransmtters Edmund Coersmeer, Ernst Zelnsk Noka, Meesmannstrasse 103, 44807 Bochum, Germany edmund.coersmeer@noka.com,
More informationEnergy-balance and Sliding Mode Control Strategies of a Cascade H-Bridge Multilevel Converter for Grid-connected PV Systems
Energy-balance and Sldng Mode Control Strateges of a Cascade H-Brdge Multlevel Converter for Grd-connected PV Systems Juan José Negron Domngo Bel Francesc Gunjoan Carlos Meza Unversdad Tecnológca Metropoltana,
More informationAn Integrated Semantically Correct 2.5D Object Oriented TIN. Andreas Koch
An Integrated Semantcally Correct 2.5D Object Orented TIN Andreas Koch Unverstät Hannover Insttut für Photogrammetre und GeoInformaton Contents Introducton Integraton of a DTM and 2D GIS data Semantcs
More informationHow To Know The Components Of Mean Squared Error Of Herarchcal Estmator S
S C H E D A E I N F O R M A T I C A E VOLUME 0 0 On Mean Squared Error of Herarchcal Estmator Stans law Brodowsk Faculty of Physcs, Astronomy, and Appled Computer Scence, Jagellonan Unversty, Reymonta
More informationHow To Understand The Results Of The German Meris Cloud And Water Vapour Product
Ttel: Project: Doc. No.: MERIS level 3 cloud and water vapour products MAPP MAPP-ATBD-ClWVL3 Issue: 1 Revson: 0 Date: 9.12.1998 Functon Name Organsaton Sgnature Date Author: Bennartz FUB Preusker FUB Schüller
More informationCHAPTER 14 MORE ABOUT REGRESSION
CHAPTER 14 MORE ABOUT REGRESSION We learned n Chapter 5 that often a straght lne descrbes the pattern of a relatonshp between two quanttatve varables. For nstance, n Example 5.1 we explored the relatonshp
More informationSolution: Let i = 10% and d = 5%. By definition, the respective forces of interest on funds A and B are. i 1 + it. S A (t) = d (1 dt) 2 1. = d 1 dt.
Chapter 9 Revew problems 9.1 Interest rate measurement Example 9.1. Fund A accumulates at a smple nterest rate of 10%. Fund B accumulates at a smple dscount rate of 5%. Fnd the pont n tme at whch the forces
More informationMultiple stage amplifiers
Multple stage amplfers Ams: Examne a few common 2-transstor amplfers: -- Dfferental amplfers -- Cascode amplfers -- Darlngton pars -- current mrrors Introduce formal methods for exactly analysng multple
More informationAn interactive system for structure-based ASCII art creation
An nteractve system for structure-based ASCII art creaton Katsunor Myake Henry Johan Tomoyuk Nshta The Unversty of Tokyo Nanyang Technologcal Unversty Abstract Non-Photorealstc Renderng (NPR), whose am
More informationPerformance attribution for multi-layered investment decisions
Performance attrbuton for mult-layered nvestment decsons 880 Thrd Avenue 7th Floor Ne Yor, NY 10022 212.866.9200 t 212.866.9201 f qsnvestors.com Inna Oounova Head of Strategc Asset Allocaton Portfolo Management
More informationReturn decomposing of absolute-performance multi-asset class portfolios. Working Paper - Nummer: 16
Return decomposng of absolute-performance mult-asset class portfolos Workng Paper - Nummer: 16 2007 by Dr. Stefan J. Illmer und Wolfgang Marty; n: Fnancal Markets and Portfolo Management; March 2007; Volume
More informationModule 2. AC to DC Converters. Version 2 EE IIT, Kharagpur 1
Module 2 AC to DC Converters erson 2 EE IIT, Kharagpur 1 Lesson 1 Sngle Phase Fully Controlled Rectfer erson 2 EE IIT, Kharagpur 2 Operaton and Analyss of sngle phase fully controlled converter. Instructonal
More informationThe Effect of Mean Stress on Damage Predictions for Spectral Loading of Fiberglass Composite Coupons 1
EWEA, Specal Topc Conference 24: The Scence of Makng Torque from the Wnd, Delft, Aprl 9-2, 24, pp. 546-555. The Effect of Mean Stress on Damage Predctons for Spectral Loadng of Fberglass Composte Coupons
More informationNumber of Levels Cumulative Annual operating Income per year construction costs costs ($) ($) ($) 1 600,000 35,000 100,000 2 2,200,000 60,000 350,000
Problem Set 5 Solutons 1 MIT s consderng buldng a new car park near Kendall Square. o unversty funds are avalable (overhead rates are under pressure and the new faclty would have to pay for tself from
More informationChapter 6 Inductance, Capacitance, and Mutual Inductance
Chapter 6 Inductance Capactance and Mutual Inductance 6. The nductor 6. The capactor 6.3 Seres-parallel combnatons of nductance and capactance 6.4 Mutual nductance 6.5 Closer look at mutual nductance Oerew
More informationEnabling P2P One-view Multi-party Video Conferencing
Enablng P2P One-vew Mult-party Vdeo Conferencng Yongxang Zhao, Yong Lu, Changja Chen, and JanYn Zhang Abstract Mult-Party Vdeo Conferencng (MPVC) facltates realtme group nteracton between users. Whle P2P
More informationSPECIALIZED DAY TRADING - A NEW VIEW ON AN OLD GAME
August 7 - August 12, 2006 n Baden-Baden, Germany SPECIALIZED DAY TRADING - A NEW VIEW ON AN OLD GAME Vladmr Šmovć 1, and Vladmr Šmovć 2, PhD 1 Faculty of Electrcal Engneerng and Computng, Unska 3, 10000
More informationImplementation of Boolean Functions through Multiplexers with the Help of Shannon Expansion Theorem
Internatonal Journal o Computer pplcatons (975 8887) Volume 62 No.6, January 23 Implementaton o Boolean Functons through Multplexers wth the Help o Shannon Expanson Theorem Saurabh Rawat Graphc Era Unversty.
More informationTrade Adjustment and Productivity in Large Crises. Online Appendix May 2013. Appendix A: Derivation of Equations for Productivity
Trade Adjustment Productvty n Large Crses Gta Gopnath Department of Economcs Harvard Unversty NBER Brent Neman Booth School of Busness Unversty of Chcago NBER Onlne Appendx May 2013 Appendx A: Dervaton
More information