MATPOWER: A Matlab Power System Simulation Package. R. Zimmerman D. Gan
|
|
- Aldous Hutchinson
- 7 years ago
- Views:
Transcription
1 ATPOWER: A atlab Power System Smulato Packae R. Zmmerma D. Ga rz@corell.edu deqa@ee.corell.edu Power Systems Eeer Research Ceter (PSERC) School of Electrcal Eeer, Corell Uversty INTRODUCTION... THE POWER FLOW SOLVER... THE OPTIAL POWER FLOW FORULATION... THE OPTIIZATION TOOLBOX BASED OPF SOLVER... THE LP-BASED OPF SOLVER... Geeral Itroducto...3 The Sparse Solver...4 The Dese Solver...7 The Formulato of LP Sub-problem...7 Solv the LP Sub-problem...8 Comput KT ultplers (complete)...8 Check KT Codtos (complete)...8 Comput Geerato-load Shft Factors (complete)...9 The acoba atrx of Load Flow...9 Learzed Formulato of Le Flow... TEST RESULTS (INCOPLETE)... THE COBINED UC-OPF SOLVER (INCOPLETE)... FINAL REARKS (INCOPLETE)... REFERENCE... Itroducto The restructur of the electrc power dustry may parts of the world s creat a eed for ew aalytcal as well as smulato tools. To test ew deas ad methodoloes for the operato of compettve power systems, researchers eed to have ready access to smulato tools whch are easy to use ad modfy. The ATPOWER packae, a set of atlab m-fles developed by PSERC at Corell Uversty, s teded as such a tool. At preset, ATPOWER ca be used to solve the follow problems: power flow (based o Newto s method) optmal power flow (us the costr fucto atlab s Optmzato Toolbox) optmal power flow (us a LP-based approach) optmal power flow wth a heurstc for tur off expesve eerators Future versos of ATPOWER may clude the ablty to do: ecoomc dspatch ut commtmet combed ut commtmet ad optmal power flow traset stablty stablty-costraed optmal power flow Ths ote s smply a techcal ote mataed by the authors descrb the detals of the alorthms mplemeted ATPOWER. Its purpose s to provde techcal detals for those terested modfy or exted the curret fuctoalty.
2 The Power Flow Solver The power flow solver ATPOWER s based o a stadard full-acoba Newto s method, descrbed detal may textbooks. It does ot clude ay trasformer tap cha or feasblty check. The method for buld the acoba came from Chrs Dearco. We foud that t solves the IEEE 3-bus system o our Su Ultra uder secods. The Optmal Power Flow Formulato The OPF problem s formulated as follows: mze P,Q f S. T. P P P( V, θ ) (Actve power equatos) L Q Q Q( V, θ ) (Reactve power equatos) L S S V f t S S V V V m (Costrats o apparet power of le flow, from sde) (Costrats o apparet power of le flow, to sde) (Voltae costrats) (Voltae costrats) P P Q P Q P Q m Q m (Actve power eerato lmts) (Actve power eerato lmts) (Reactve power eerato lmts) (Reactve power eerato lmts) The OPF formulato descrbed above s used for both the Optmzato Toolbox based OPF ad the LP-based OPF. The obectve fucto of the OPF problem s assumed to be summato of costs of dvdual eerators. The cost of each eerator s expressed the form of ether quadratc fucto or pece-wse lear curve. The Optmzato Toolbox based OPF Solver Implemetato of the Optmzato Toolbox based OPF s qute strahtforward. For detals, see the fle OTopf.m. The LP-based OPF Solver I ths chapter, we wll descrbe the alorthms mplemeted our LP-based OPF solver. The obectve fucto of the OPF problem s assumed to be summato of costs of dvdual eerators. The cost of each eerator s expressed the form of ether quadratc fucto or pece-wse lear curve. The quadratc cost fucto of th eerator s defed as follows: f C + C P + C P The pece-wse lear cost fucto of th eerator s defed as follows (see F. ): f α + βp βkpse, ( ).
3 P P + + P... se, ( ) P P Where α s a costat, β deotes the slope of each lear fucto, P s called semetal power ths ote. Note that the cost curve must be covex, otherwse the solver could et wro soluto. Ths approach of model eerator cost fucto s called oe-semet-oe-varable approach [Stott, 979]. cost P P F. Cost Curve of Geerator Geeral Itroducto LP-based OPF method has bee extesvely examed, ad used qute a few moder power systems. The alorthm we coded s perhaps dfferet from that producto-rade software. The maor dfferece s that our alorthm s much smpler. The reaso of do so s, certaly, to make the OPF solver more re-usable. The flow chart of our solver s demostrated F. 3. Ru AC load flow Learze OPF costrats Formulate ad solve LP sub-problem Update soluto Check f the soluto meets KT Codto yes STOP F. 3 Flow Chart of LP-based OPF Solver 3
4 The stopp crtera, the selecto of start pot, hadl feasbltes, etc. wll be explaed the com verso of ths ote. The LP-based OPF solver ca ot hadle OPF problems wth quadratc cost fucto drectly. If the cost formato of eerators s ve by quadratc fuctos, the quadratc curves wll be dscretzed to pece-wse lear fuctos -fle opf.m. So ths chapter, we assume that the cost of eerators s pece-wse lear. We have developed two varats of LP-based OPF solver, oe s called dese solver, ad aother s sparse solver. I the alorthm of dese solver, load flow equatos are elmated, so are etwork voltaes. I sparse solver, load flow equatos are preserved. The dese solver s more depedet o the performace of LP solver but s less readable, whle sparse solver s more readable but s more depedet o the performace of LP solver. I subsequet text, we wll ve the detals uderly both solvers. The Sparse Solver The alorthm of sparse solver s pretty strahtforward. I ths secto, we wll ust ve the equatos of learzed OPF oly: 4
5 mze ( β P β P, se ( )) ( β P β Pse, ( )) θ V,, P G, Q G se( ) S.T. P - P G (,,) P Q V V + + P Q - P (,, b) - Q G (,, b) S S l f l t V + V + S l f S l t S S (l,.., l) S S (l,.., l) V V V l l l V V V m l G P G P P (,, ) P G P m P (,, ) G G Q G Q Q (,, ) Q G Q m Q (,, ) G G G G G P G P P (,,,,, se()) G G P G (,,,,, se()) P G 5
6 The above formulato ca be expressed matrx form as follows: IN [ β] V θ P Q P S.T. P - pp P PV, ref V + Pθ, ref Eref Pref, PV V + Pθ θ - P QV V + Qθ θ - Q f S V t S V S f + S S + S t S S V V V V V V m P P P P P P Q Q Q m Q Q Q m - P P P P - P (Step sze costrats) - Q (Step sze costrats) Note: Eref, PV, ref, P θ, ref are the rows correspod to referece bus. 6
7 The Dese Solver The Formulato of LP Sub-problem The voltae varables ad load flow equatos sparse formulato ca be elmated based o: V PV QV Pθ Qθ E P E Q. V G G P G G Q S S V S S G G S V θ G G G ref V [ T T ] The well-kow dese formulato of LP sub-problem s as follows: IN [ β] P Q P P Q S.T. P - pp P ( P, Iref ) P + Q, Q (I ref : the ref row of ut matrx) f f T P + T Q S S t t T P + T Q S S G P + G Q V V -G P - G Q V Vm P P P P P P Q Q Q m Q Q Q m - P P P P - P - Q 7
8 Solv the LP Sub-problem It s well recozed that oly a few costrats a typcal OPF problem are bd. Based o ths observato, the so-called Iteratve Costrat Search [B. Stott, 979] s employed our code to solve LP sub-problem. We wll expla the alorthm detal com verso of our ote. Comput KT ultplers (complete) Sce load flow equatos do ot appear explctly the dese LP sub-problem, so we ca ot et KT multplers correspod to load flow equatos drectly from LP solver, we have to compute them. Before we expla how to compute KT multplers, let us recall what codtos optmal soluto ad KT multplers meet. Apply the Kuh-Tucker codto drectly to a LP problem, we have: A T λ c Ax b T A λ c A x b where A s composed of the bd terms of coeffcets matrx A of a LP problem. The above formula s the bass we compute KT multplers. Let us rewrte the costrats of sparse LP formulato as: E u + P x Eu + x Du + Bx S Where: u cotas cotrollable varables, x cotas state varables V ad θ. atrx D ad B otly deote a submatrx of sparse learzed LP matrx. The sub-matrx s composed of the bd rows of the equalty costrats. Bd costrats s detfed after LP s solved. Sce A T λ c, t follows: T T T B E E D T T T λ λ β µ We are oly terested the frst equato, that s, T T T λ + λ + B µ Varable λ ad µ are provded by LP solver (the dual vector). Solv the above equato, we et λ. Check KT Codtos (complete) ( ) L f P + λ + µ h L u l P β λ µ µ 8
9 L P tras lf u l λ λ µ + µ L lf u l λ µ + µ Q λ µ µ µ f µ L hk S S k u l s k + k k s kt k k k L λ P V θ µ S f µ S t (, ) s s Comput Geerato-load Shft Factors (complete) Ths -fle s ot avalable to users. Pθ PV θ P Qθ QV V Q Pθ + PV V P Qθ + QV V ( P PV QV Q ) P θ θ P X H θ / P atrx H s kow as matrx of eerato-load shft factor. The acoba atrx of Load Flow NB ( ) P( V, θ) V V G cosθ + B sθ P P NB ( ) Q( V, θ) V V G sθ B cosθ Q ( sθ cos θ ) ( cosθ sθ) VV G B P ( sθ cosθ) V V G B, Q B V VV G + B ( cosθ sθ) Q V V G + B, P GV Q V G sθ B cosθ ( cosθ s θ ) ( ) V G + B 9
10 P ( θ θ ) V G cos + B s + V G, Q ( θ θ ) V G s B cos V B, ( ) V P + G V ( B V ) V Q Learzed Formulato of Le Flow S P P P ^ V V V ( )( ) V VV cosθ sθ cosθ + sθ V VV sθ VV cosθ ( cosθ) sθ RVV sθ + X( V VV cosθ) R V VV VV X R( V V cos θ ) V X sθ RV θ V X θ cos s P RVV sθ VV X cosθ P RVV sθ VV X cosθ S P + Q S Q Q Q R + X ( cosθ ) RV sθ + X V V RV sθ XV cosθ Q RVV cosθ + XVV sθ Q RVV cosθ + XVV sθ P P + Q Q ( R X) Test Results (complete) The Combed UC-OPF Solver (complete) Fal Remarks (complete) Referece O. Alsac,. Brht,. Pras, B. Stott, Further Developmets LP-based Optmal Power Flow, IEEE Tras. O Power Systems, vol. 5, o. 3, 99, pp B. Stott,.L. aro, O. Alsac, Revew of Lear Proramm Appled to Power System Reschedul, 979 PICA, pp 4-54
APPENDIX III THE ENVELOPE PROPERTY
Apped III APPENDIX III THE ENVELOPE PROPERTY Optmzato mposes a very strog structure o the problem cosdered Ths s the reaso why eoclasscal ecoomcs whch assumes optmzg behavour has bee the most successful
More informationIDENTIFICATION OF THE DYNAMICS OF THE GOOGLE S RANKING ALGORITHM. A. Khaki Sedigh, Mehdi Roudaki
IDENIFICAION OF HE DYNAMICS OF HE GOOGLE S RANKING ALGORIHM A. Khak Sedgh, Mehd Roudak Cotrol Dvso, Departmet of Electrcal Egeerg, K.N.oos Uversty of echology P. O. Box: 16315-1355, ehra, Ira sedgh@eetd.ktu.ac.r,
More informationStatistical Pattern Recognition (CE-725) Department of Computer Engineering Sharif University of Technology
I The Name of God, The Compassoate, The ercful Name: Problems' eys Studet ID#:. Statstcal Patter Recogto (CE-725) Departmet of Computer Egeerg Sharf Uversty of Techology Fal Exam Soluto - Sprg 202 (50
More informationNumerical Methods with MS Excel
TMME, vol4, o.1, p.84 Numercal Methods wth MS Excel M. El-Gebely & B. Yushau 1 Departmet of Mathematcal Sceces Kg Fahd Uversty of Petroleum & Merals. Dhahra, Saud Araba. Abstract: I ths ote we show how
More informationSTATISTICAL PROPERTIES OF LEAST SQUARES ESTIMATORS. x, where. = y - ˆ " 1
STATISTICAL PROPERTIES OF LEAST SQUARES ESTIMATORS Recall Assumpto E(Y x) η 0 + η x (lear codtoal mea fucto) Data (x, y ), (x 2, y 2 ),, (x, y ) Least squares estmator ˆ E (Y x) ˆ " 0 + ˆ " x, where ˆ
More informationAbraham Zaks. Technion I.I.T. Haifa ISRAEL. and. University of Haifa, Haifa ISRAEL. Abstract
Preset Value of Autes Uder Radom Rates of Iterest By Abraham Zas Techo I.I.T. Hafa ISRAEL ad Uversty of Hafa, Hafa ISRAEL Abstract Some attempts were made to evaluate the future value (FV) of the expected
More informationn. We know that the sum of squares of p independent standard normal variables has a chi square distribution with p degrees of freedom.
UMEÅ UNIVERSITET Matematsk-statstska sttutoe Multvarat dataaalys för tekologer MSTB0 PA TENTAMEN 004-0-9 LÖSNINGSFÖRSLAG TILL TENTAMEN I MATEMATISK STATISTIK Multvarat dataaalys för tekologer B, 5 poäg.
More informationA Study of Unrelated Parallel-Machine Scheduling with Deteriorating Maintenance Activities to Minimize the Total Completion Time
Joural of Na Ka, Vol. 0, No., pp.5-9 (20) 5 A Study of Urelated Parallel-Mache Schedulg wth Deteroratg Mateace Actvtes to Mze the Total Copleto Te Suh-Jeq Yag, Ja-Yuar Guo, Hs-Tao Lee Departet of Idustral
More informationMaintenance Scheduling of Distribution System with Optimal Economy and Reliability
Egeerg, 203, 5, 4-8 http://dx.do.org/0.4236/eg.203.59b003 Publshed Ole September 203 (http://www.scrp.org/joural/eg) Mateace Schedulg of Dstrbuto System wth Optmal Ecoomy ad Relablty Syua Hog, Hafeg L,
More informationThe simple linear Regression Model
The smple lear Regresso Model Correlato coeffcet s o-parametrc ad just dcates that two varables are assocated wth oe aother, but t does ot gve a deas of the kd of relatoshp. Regresso models help vestgatg
More informationSimple Linear Regression
Smple Lear Regresso Regresso equato a equato that descrbes the average relatoshp betwee a respose (depedet) ad a eplaator (depedet) varable. 6 8 Slope-tercept equato for a le m b (,6) slope. (,) 6 6 8
More informationSHAPIRO-WILK TEST FOR NORMALITY WITH KNOWN MEAN
SHAPIRO-WILK TEST FOR NORMALITY WITH KNOWN MEAN Wojcech Zelńsk Departmet of Ecoometrcs ad Statstcs Warsaw Uversty of Lfe Sceces Nowoursyowska 66, -787 Warszawa e-mal: wojtekzelsk@statystykafo Zofa Hausz,
More information6.7 Network analysis. 6.7.1 Introduction. References - Network analysis. Topological analysis
6.7 Network aalyss Le data that explctly store topologcal formato are called etwork data. Besdes spatal operatos, several methods of spatal aalyss are applcable to etwork data. Fgure: Network data Refereces
More informationOptimal multi-degree reduction of Bézier curves with constraints of endpoints continuity
Computer Aded Geometrc Desg 19 (2002 365 377 wwwelsevercom/locate/comad Optmal mult-degree reducto of Bézer curves wth costrats of edpots cotuty Guo-Dog Che, Guo-J Wag State Key Laboratory of CAD&CG, Isttute
More informationADAPTATION OF SHAPIRO-WILK TEST TO THE CASE OF KNOWN MEAN
Colloquum Bometrcum 4 ADAPTATION OF SHAPIRO-WILK TEST TO THE CASE OF KNOWN MEAN Zofa Hausz, Joaa Tarasńska Departmet of Appled Mathematcs ad Computer Scece Uversty of Lfe Sceces Lubl Akademcka 3, -95 Lubl
More informationProceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds.
Proceedgs of the 21 Wter Smulato Coferece B. Johasso, S. Ja, J. Motoya-Torres, J. Huga, ad E. Yücesa, eds. EMPIRICAL METHODS OR TWO-ECHELON INVENTORY MANAGEMENT WITH SERVICE LEVEL CONSTRAINTS BASED ON
More informationThe Analysis of Development of Insurance Contract Premiums of General Liability Insurance in the Business Insurance Risk
The Aalyss of Developmet of Isurace Cotract Premums of Geeral Lablty Isurace the Busess Isurace Rsk the Frame of the Czech Isurace Market 1998 011 Scetfc Coferece Jue, 10. - 14. 013 Pavla Kubová Departmet
More informationAn Effectiveness of Integrated Portfolio in Bancassurance
A Effectveess of Itegrated Portfolo Bacassurace Taea Karya Research Ceter for Facal Egeerg Isttute of Ecoomc Research Kyoto versty Sayouu Kyoto 606-850 Japa arya@eryoto-uacp Itroducto As s well ow the
More informationClassic Problems at a Glance using the TVM Solver
C H A P T E R 2 Classc Problems at a Glace usg the TVM Solver The table below llustrates the most commo types of classc face problems. The formulas are gve for each calculato. A bref troducto to usg the
More informationAverage Price Ratios
Average Prce Ratos Morgstar Methodology Paper August 3, 2005 2005 Morgstar, Ic. All rghts reserved. The formato ths documet s the property of Morgstar, Ic. Reproducto or trascrpto by ay meas, whole or
More informationOn formula to compute primes and the n th prime
Joural's Ttle, Vol., 00, o., - O formula to compute prmes ad the th prme Issam Kaddoura Lebaese Iteratoal Uversty Faculty of Arts ad ceces, Lebao Emal: ssam.addoura@lu.edu.lb amh Abdul-Nab Lebaese Iteratoal
More informationRelaxation Methods for Iterative Solution to Linear Systems of Equations
Relaxato Methods for Iteratve Soluto to Lear Systems of Equatos Gerald Recktewald Portlad State Uversty Mechacal Egeerg Departmet gerry@me.pdx.edu Prmary Topcs Basc Cocepts Statoary Methods a.k.a. Relaxato
More informationOnline Appendix: Measured Aggregate Gains from International Trade
Ole Appedx: Measured Aggregate Gas from Iteratoal Trade Arel Burste UCLA ad NBER Javer Cravo Uversty of Mchga March 3, 2014 I ths ole appedx we derve addtoal results dscussed the paper. I the frst secto,
More informationPreprocess a planar map S. Given a query point p, report the face of S containing p. Goal: O(n)-size data structure that enables O(log n) query time.
Computatoal Geometry Chapter 6 Pot Locato 1 Problem Defto Preprocess a plaar map S. Gve a query pot p, report the face of S cotag p. S Goal: O()-sze data structure that eables O(log ) query tme. C p E
More informationUsing Phase Swapping to Solve Load Phase Balancing by ADSCHNN in LV Distribution Network
Iteratoal Joural of Cotrol ad Automato Vol.7, No.7 (204), pp.-4 http://dx.do.org/0.4257/jca.204.7.7.0 Usg Phase Swappg to Solve Load Phase Balacg by ADSCHNN LV Dstrbuto Network Chu-guo Fe ad Ru Wag College
More informationChapter Eight. f : R R
Chapter Eght f : R R 8. Itroducto We shall ow tur our atteto to the very mportat specal case of fuctos that are real, or scalar, valued. These are sometmes called scalar felds. I the very, but mportat,
More informationOptimal replacement and overhaul decisions with imperfect maintenance and warranty contracts
Optmal replacemet ad overhaul decsos wth mperfect mateace ad warraty cotracts R. Pascual Departmet of Mechacal Egeerg, Uversdad de Chle, Caslla 2777, Satago, Chle Phoe: +56-2-6784591 Fax:+56-2-689657 rpascual@g.uchle.cl
More informationSecurity Analysis of RAPP: An RFID Authentication Protocol based on Permutation
Securty Aalyss of RAPP: A RFID Authetcato Protocol based o Permutato Wag Shao-hu,,, Ha Zhje,, Lu Sujua,, Che Da-we, {College of Computer, Najg Uversty of Posts ad Telecommucatos, Najg 004, Cha Jagsu Hgh
More informationMeasuring the Quality of Credit Scoring Models
Measur the Qualty of Credt cor Models Mart Řezáč Dept. of Matheatcs ad tatstcs, Faculty of cece, Masaryk Uversty CCC XI, Edurh Auust 009 Cotet. Itroducto 3. Good/ad clet defto 4 3. Measur the qualty 6
More informationReport 52 Fixed Maturity EUR Industrial Bond Funds
Rep52, Computed & Prted: 17/06/2015 11:53 Report 52 Fxed Maturty EUR Idustral Bod Fuds From Dec 2008 to Dec 2014 31/12/2008 31 December 1999 31/12/2014 Bechmark Noe Defto of the frm ad geeral formato:
More informationThe Digital Signature Scheme MQQ-SIG
The Dgtal Sgature Scheme MQQ-SIG Itellectual Property Statemet ad Techcal Descrpto Frst publshed: 10 October 2010, Last update: 20 December 2010 Dalo Glgorosk 1 ad Rue Stesmo Ødegård 2 ad Rue Erled Jese
More informationThe Gompertz-Makeham distribution. Fredrik Norström. Supervisor: Yuri Belyaev
The Gompertz-Makeham dstrbuto by Fredrk Norström Master s thess Mathematcal Statstcs, Umeå Uversty, 997 Supervsor: Yur Belyaev Abstract Ths work s about the Gompertz-Makeham dstrbuto. The dstrbuto has
More informationECONOMIC CHOICE OF OPTIMUM FEEDER CABLE CONSIDERING RISK ANALYSIS. University of Brasilia (UnB) and The Brazilian Regulatory Agency (ANEEL), Brazil
ECONOMIC CHOICE OF OPTIMUM FEEDER CABE CONSIDERING RISK ANAYSIS I Camargo, F Fgueredo, M De Olvera Uversty of Brasla (UB) ad The Brazla Regulatory Agecy (ANEE), Brazl The choce of the approprate cable
More informationIncorporating demand shifters in the Almost Ideal demand system
Ecoomcs Letters 70 (2001) 73 78 www.elsever.com/ locate/ ecobase Icorporatg demad shfters the Almost Ideal demad system Jula M. Alsto, James A. Chalfat *, Ncholas E. Pggott a,1 1 a, b a Departmet of Agrcultural
More informationConversion of Non-Linear Strength Envelopes into Generalized Hoek-Brown Envelopes
Covero of No-Lear Stregth Evelope to Geeralzed Hoek-Brow Evelope Itroducto The power curve crtero commoly ued lmt-equlbrum lope tablty aaly to defe a o-lear tregth evelope (relatohp betwee hear tre, τ,
More informationA Parallel Transmission Remote Backup System
2012 2d Iteratoal Coferece o Idustral Techology ad Maagemet (ICITM 2012) IPCSIT vol 49 (2012) (2012) IACSIT Press, Sgapore DOI: 107763/IPCSIT2012V495 2 A Parallel Trasmsso Remote Backup System Che Yu College
More informationApplications of Support Vector Machine Based on Boolean Kernel to Spam Filtering
Moder Appled Scece October, 2009 Applcatos of Support Vector Mache Based o Boolea Kerel to Spam Flterg Shugag Lu & Keb Cu School of Computer scece ad techology, North Cha Electrc Power Uversty Hebe 071003,
More informationNetwork dimensioning for elastic traffic based on flow-level QoS
Network dmesog for elastc traffc based o flow-level QoS 1(10) Network dmesog for elastc traffc based o flow-level QoS Pas Lassla ad Jorma Vrtamo Networkg Laboratory Helsk Uversty of Techology Itroducto
More informationBanking (Early Repayment of Housing Loans) Order, 5762 2002 1
akg (Early Repaymet of Housg Loas) Order, 5762 2002 y vrtue of the power vested me uder Secto 3 of the akg Ordace 94 (hereafter, the Ordace ), followg cosultato wth the Commttee, ad wth the approval of
More informationAnalysis of Multi-product Break-even with Uncertain Information*
Aalyss o Mult-product Break-eve wth Ucerta Iormato* Lazzar Lusa L. - Morñgo María Slva Facultad de Cecas Ecoómcas Uversdad de Bueos Ares 222 Córdoba Ave. 2 d loor C20AAQ Bueos Ares - Argeta lazzar@eco.uba.ar
More informationCredibility Premium Calculation in Motor Third-Party Liability Insurance
Advaces Mathematcal ad Computatoal Methods Credblty remum Calculato Motor Thrd-arty Lablty Isurace BOHA LIA, JAA KUBAOVÁ epartmet of Mathematcs ad Quattatve Methods Uversty of ardubce Studetská 95, 53
More informationAnalyses of Integrity Monitoring Techniques for a Global Navigation Satellite System (GNSS-2)
Aalyses of Iterty Motor echques for a Global Navato Satellte System (GNSS-) heodor Z ad Berd Essfeller Isttute of Geodesy ad Navato (IfEN), Uversty FAF Much D-85577 Neubber, Germay Erw Löhert ad Robert
More informationGreen Master based on MapReduce Cluster
Gree Master based o MapReduce Cluster Mg-Zh Wu, Yu-Chag L, We-Tsog Lee, Yu-Su L, Fog-Hao Lu Dept of Electrcal Egeerg Tamkag Uversty, Tawa, ROC Dept of Electrcal Egeerg Tamkag Uversty, Tawa, ROC Dept of
More informationConstrained Cubic Spline Interpolation for Chemical Engineering Applications
Costraed Cubc Sple Iterpolato or Chemcal Egeerg Applcatos b CJC Kruger Summar Cubc sple terpolato s a useul techque to terpolate betwee kow data pots due to ts stable ad smooth characterstcs. Uortuatel
More informationPerformance Attribution. Methodology Overview
erformace Attrbuto Methodology Overvew Faba SUAREZ March 2004 erformace Attrbuto Methodology 1.1 Itroducto erformace Attrbuto s a set of techques that performace aalysts use to expla why a portfolo's performace
More informationThe analysis of annuities relies on the formula for geometric sums: r k = rn+1 1 r 1. (2.1) k=0
Chapter 2 Autes ad loas A auty s a sequece of paymets wth fxed frequecy. The term auty orgally referred to aual paymets (hece the ame), but t s ow also used for paymets wth ay frequecy. Autes appear may
More informationA New Bayesian Network Method for Computing Bottom Event's Structural Importance Degree using Jointree
, pp.277-288 http://dx.do.org/10.14257/juesst.2015.8.1.25 A New Bayesa Network Method for Computg Bottom Evet's Structural Importace Degree usg Jotree Wag Yao ad Su Q School of Aeroautcs, Northwester Polytechcal
More informationUSEFULNESS OF BOOTSTRAPPING IN PORTFOLIO MANAGEMENT
USEFULNESS OF BOOTSTRAPPING IN PORTFOLIO MANAGEMENT Radovaov Bors Faculty of Ecoomcs Subotca Segedsk put 9-11 Subotca 24000 E-mal: radovaovb@ef.us.ac.rs Marckć Aleksadra Faculty of Ecoomcs Subotca Segedsk
More informationFast, Secure Encryption for Indexing in a Column-Oriented DBMS
Fast, Secure Ecrypto for Idexg a Colum-Oreted DBMS Tgja Ge, Sta Zdok Brow Uversty {tge, sbz}@cs.brow.edu Abstract Networked formato systems requre strog securty guaratees because of the ew threats that
More informationCyber Journals: Multidisciplinary Journals in Science and Technology, Journal of Selected Areas in Telecommunications (JSAT), January Edition, 2011
Cyber Jourals: Multdscplary Jourals cece ad Techology, Joural of elected Areas Telecommucatos (JAT), Jauary dto, 2011 A ovel rtual etwork Mappg Algorthm for Cost Mmzg ZHAG hu-l, QIU Xue-sog tate Key Laboratory
More informationLoad and Resistance Factor Design (LRFD)
53:134 Structural Desg II Load ad Resstace Factor Desg (LRFD) Specfcatos ad Buldg Codes: Structural steel desg of buldgs the US s prcpally based o the specfcatos of the Amerca Isttute of Steel Costructo
More informationFractal-Structured Karatsuba`s Algorithm for Binary Field Multiplication: FK
Fractal-Structured Karatsuba`s Algorthm for Bary Feld Multplcato: FK *The authors are worg at the Isttute of Mathematcs The Academy of Sceces of DPR Korea. **Address : U Jog dstrct Kwahadog Number Pyogyag
More information10/19/2011. Financial Mathematics. Lecture 24 Annuities. Ana NoraEvans 403 Kerchof AnaNEvans@virginia.edu http://people.virginia.
Math 40 Lecture 24 Autes Facal Mathematcs How ready do you feel for the quz o Frday: A) Brg t o B) I wll be by Frday C) I eed aother week D) I eed aother moth Aa NoraEvas 403 Kerchof AaNEvas@vrga.edu http://people.vrga.edu/~as5k/
More information1. The Time Value of Money
Corporate Face [00-0345]. The Tme Value of Moey. Compoudg ad Dscoutg Captalzato (compoudg, fdg future values) s a process of movg a value forward tme. It yelds the future value gve the relevat compoudg
More informationModels for Selecting an ERP System with Intuitionistic Trapezoidal Fuzzy Information
JOURNAL OF SOFWARE, VOL 5, NO 3, MARCH 00 75 Models for Selectg a ERP System wth Itutostc rapezodal Fuzzy Iformato Guwu We, Ru L Departmet of Ecoomcs ad Maagemet, Chogqg Uversty of Arts ad Sceces, Yogchua,
More informationOn Error Detection with Block Codes
BULGARIAN ACADEMY OF SCIENCES CYBERNETICS AND INFORMATION TECHNOLOGIES Volume 9, No 3 Sofa 2009 O Error Detecto wth Block Codes Rostza Doduekova Chalmers Uversty of Techology ad the Uversty of Gotheburg,
More informationProjection model for Computer Network Security Evaluation with interval-valued intuitionistic fuzzy information. Qingxiang Li
Iteratoal Joural of Scece Vol No7 05 ISSN: 83-4890 Proecto model for Computer Network Securty Evaluato wth terval-valued tutostc fuzzy formato Qgxag L School of Software Egeerg Chogqg Uversty of rts ad
More informationMaximization of Data Gathering in Clustered Wireless Sensor Networks
Maxmzato of Data Gatherg Clustere Wreless Sesor Networks Taq Wag Stuet Member I We Hezelma Seor Member I a Alreza Seye Member I Abstract I ths paper we vestgate the maxmzato of the amout of gathere ata
More informationON SLANT HELICES AND GENERAL HELICES IN EUCLIDEAN n -SPACE. Yusuf YAYLI 1, Evren ZIPLAR 2. yayli@science.ankara.edu.tr. evrenziplar@yahoo.
ON SLANT HELICES AND ENERAL HELICES IN EUCLIDEAN -SPACE Yusuf YAYLI Evre ZIPLAR Departmet of Mathematcs Faculty of Scece Uversty of Akara Tadoğa Akara Turkey yayl@sceceakaraedutr Departmet of Mathematcs
More informationAggregation Functions and Personal Utility Functions in General Insurance
Acta Polytechca Huarca Vol. 7, No. 4, 00 Areato Fuctos ad Persoal Utlty Fuctos Geeral Isurace Jaa Šprková Departmet of Quattatve Methods ad Iformato Systems, Faculty of Ecoomcs, Matej Bel Uversty Tajovského
More informationT = 1/freq, T = 2/freq, T = i/freq, T = n (number of cash flows = freq n) are :
Bullets bods Let s descrbe frst a fxed rate bod wthout amortzg a more geeral way : Let s ote : C the aual fxed rate t s a percetage N the otoal freq ( 2 4 ) the umber of coupo per year R the redempto of
More informationCurve Fitting and Solution of Equation
UNIT V Curve Fttg ad Soluto of Equato 5. CURVE FITTING I ma braches of appled mathematcs ad egeerg sceces we come across epermets ad problems, whch volve two varables. For eample, t s kow that the speed
More information10.5 Future Value and Present Value of a General Annuity Due
Chapter 10 Autes 371 5. Thomas leases a car worth $4,000 at.99% compouded mothly. He agrees to make 36 lease paymets of $330 each at the begg of every moth. What s the buyout prce (resdual value of the
More informationRQM: A new rate-based active queue management algorithm
: A ew rate-based actve queue maagemet algorthm Jeff Edmods, Suprakash Datta, Patrck Dymod, Kashf Al Computer Scece ad Egeerg Departmet, York Uversty, Toroto, Caada Abstract I ths paper, we propose a ew
More informationInvestigation of Transmission Line Parameter Sensitivities in Congested Power Systems
Ivestgato of Trasmsso Le Parameter Sestvtes Cogested Power Systems CANAN ZOBİ KARATEKİN Departmet of Electrcal Egeerg Istaul Techcal Uversty Istaul, TURKEY CANBOLAT UÇAK Departmet of Electrcal & Electrocs
More informationRUSSIAN ROULETTE AND PARTICLE SPLITTING
RUSSAN ROULETTE AND PARTCLE SPLTTNG M. Ragheb 3/7/203 NTRODUCTON To stuatos are ecoutered partcle trasport smulatos:. a multplyg medum, a partcle such as a eutro a cosmc ray partcle or a photo may geerate
More informationDECISION MAKING WITH THE OWA OPERATOR IN SPORT MANAGEMENT
ESTYLF08, Cuecas Meras (Meres - Lagreo), 7-9 de Septembre de 2008 DECISION MAKING WITH THE OWA OPERATOR IN SPORT MANAGEMENT José M. Mergó Aa M. Gl-Lafuete Departmet of Busess Admstrato, Uversty of Barceloa
More informationDHA: Distributed Decisions on the Switch Migration Toward a Scalable SDN Control Plane
DHA: Dstrbuted Decsos o the wtch Mgrato Toward a calable DN Cotrol Plae Guozhe Cheg, Hogchag Che, Zhmg Wag, huqao Che Natoal Dgtal wtchg ystem Egeerg & Techologcal R&D Ceter Zhegzhou, Cha [Emal: guozhecheg@hotmalcom,
More informationAutomated Event Registration System in Corporation
teratoal Joural of Advaces Computer Scece ad Techology JACST), Vol., No., Pages : 0-0 0) Specal ssue of CACST 0 - Held durg 09-0 May, 0 Malaysa Automated Evet Regstrato System Corporato Zafer Al-Makhadmee
More informationCapacitated Production Planning and Inventory Control when Demand is Unpredictable for Most Items: The No B/C Strategy
SCHOOL OF OPERATIONS RESEARCH AND INDUSTRIAL ENGINEERING COLLEGE OF ENGINEERING CORNELL UNIVERSITY ITHACA, NY 4853-380 TECHNICAL REPORT Jue 200 Capactated Producto Plag ad Ivetory Cotrol whe Demad s Upredctable
More informationIntegrating Production Scheduling and Maintenance: Practical Implications
Proceedgs of the 2012 Iteratoal Coferece o Idustral Egeerg ad Operatos Maagemet Istabul, Turkey, uly 3 6, 2012 Itegratg Producto Schedulg ad Mateace: Practcal Implcatos Lath A. Hadd ad Umar M. Al-Turk
More informationANOVA Notes Page 1. Analysis of Variance for a One-Way Classification of Data
ANOVA Notes Page Aalss of Varace for a Oe-Wa Classfcato of Data Cosder a sgle factor or treatmet doe at levels (e, there are,, 3, dfferet varatos o the prescrbed treatmet) Wth a gve treatmet level there
More informationOptimization Model in Human Resource Management for Job Allocation in ICT Project
Optmzato Model Huma Resource Maagemet for Job Allocato ICT Project Optmzato Model Huma Resource Maagemet for Job Allocato ICT Project Saghamtra Mohaty Malaya Kumar Nayak 2 2 Professor ad Head Research
More informationDynamic Provisioning Modeling for Virtualized Multi-tier Applications in Cloud Data Center
200 IEEE 3rd Iteratoal Coferece o Cloud Computg Dyamc Provsog Modelg for Vrtualzed Mult-ter Applcatos Cloud Data Ceter Jg B 3 Zhlag Zhu 2 Ruxog Ta 3 Qgbo Wag 3 School of Iformato Scece ad Egeerg College
More informationISyE 512 Chapter 7. Control Charts for Attributes. Instructor: Prof. Kaibo Liu. Department of Industrial and Systems Engineering UW-Madison
ISyE 512 Chapter 7 Cotrol Charts for Attrbutes Istructor: Prof. Kabo Lu Departmet of Idustral ad Systems Egeerg UW-Madso Emal: klu8@wsc.edu Offce: Room 3017 (Mechacal Egeerg Buldg) 1 Lst of Topcs Chapter
More informationFault Tree Analysis of Software Reliability Allocation
Fault Tree Aalyss of Software Relablty Allocato Jawe XIANG, Kokch FUTATSUGI School of Iformato Scece, Japa Advaced Isttute of Scece ad Techology - Asahda, Tatsuokuch, Ishkawa, 92-292 Japa ad Yaxag HE Computer
More informationA PRACTICAL SOFTWARE TOOL FOR GENERATOR MAINTENANCE SCHEDULING AND DISPATCHING
West Ida Joural of Egeerg Vol. 30, No. 2, (Jauary 2008) Techcal aper (Sharma & Bahadoorsgh) 57-63 A RACTICAL SOFTWARE TOOL FOR GENERATOR MAINTENANCE SCHEDULING AND DISATCHING C. Sharma & S. Bahadoorsgh
More informationChapter 3. AMORTIZATION OF LOAN. SINKING FUNDS R =
Chapter 3. AMORTIZATION OF LOAN. SINKING FUNDS Objectves of the Topc: Beg able to formalse ad solve practcal ad mathematcal problems, whch the subjects of loa amortsato ad maagemet of cumulatve fuds are
More informationSession 4: Descriptive statistics and exporting Stata results
Itrduct t Stata Jrd Muñz (UAB) Sess 4: Descrptve statstcs ad exprtg Stata results I ths sess we are gg t wrk wth descrptve statstcs Stata. Frst, we preset a shrt trduct t the very basc statstcal ctets
More informationM. Salahi, F. Mehrdoust, F. Piri. CVaR Robust Mean-CVaR Portfolio Optimization
M. Salah, F. Mehrdoust, F. Pr Uversty of Gula, Rasht, Ira CVaR Robust Mea-CVaR Portfolo Optmzato Abstract: Oe of the most mportat problems faced by every vestor s asset allocato. A vestor durg makg vestmet
More informationAn Automated Selecting Subcontractor Model In E-Commerce by Pao-Hung Lin
A Automated Selectg Subcotractor Model I E-Commerce by Pao-Hug L Asst. Prof., Dept. of Cvl Egeerg, Feg-Cha Uversty, Tachug, Tawa E-mal: paol@fcu.edu.tw Abstract: From the observato of orgazato chages dgtal
More informationA multi-layer market for vehicle-to-grid energy trading in the smart grid
A mult-layer market for vehcle-to-grd eergy tradg the smart grd Albert Y.S. Lam, Logbo Huag, Aloso Slva, Wald Saad To cte ths verso: Albert Y.S. Lam, Logbo Huag, Aloso Slva, Wald Saad. A mult-layer market
More informationNumerical Comparisons of Quality Control Charts for Variables
Global Vrtual Coferece Aprl, 8. - 2. 203 Nuercal Coparsos of Qualty Cotrol Charts for Varables J.F. Muñoz-Rosas, M.N. Pérez-Aróstegu Uversty of Graada Facultad de Cecas Ecoócas y Epresarales Graada, pa
More informationModels of migration. Frans Willekens. Colorado Conference on the Estimation of Migration 24 26 September 2004
Models of mgrato Fras Wllekes Colorado Coferece o the Estmato of Mgrato 4 6 Setember 004 Itroducto Mgrato : chage of resdece (relocato Mgrato s stuated tme ad sace Cocetual ssues Sace: admstratve boudares
More informationA DISTRIBUTED REPUTATION BROKER FRAMEWORK FOR WEB SERVICE APPLICATIONS
L et al.: A Dstrbuted Reputato Broker Framework for Web Servce Applcatos A DISTRIBUTED REPUTATION BROKER FRAMEWORK FOR WEB SERVICE APPLICATIONS Kwe-Jay L Departmet of Electrcal Egeerg ad Computer Scece
More informationReport 19 Euroland Corporate Bonds
Rep19, Computed & Prted: 17/06/2015 11:38 Report 19 Eurolad Corporate Bods From Dec 1999 to Dec 2014 31/12/1999 31 December 1999 31/12/2014 Bechmark 100% IBOXX Euro Corp All Mats. TR Defto of the frm ad
More informationForecasting Trend and Stock Price with Adaptive Extended Kalman Filter Data Fusion
2011 Iteratoal Coferece o Ecoomcs ad Face Research IPEDR vol.4 (2011 (2011 IACSIT Press, Sgapore Forecastg Tred ad Stoc Prce wth Adaptve Exteded alma Flter Data Fuso Betollah Abar Moghaddam Faculty of
More informationBayesian Network Representation
Readgs: K&F 3., 3.2, 3.3, 3.4. Bayesa Network Represetato Lecture 2 Mar 30, 20 CSE 55, Statstcal Methods, Sprg 20 Istructor: Su-I Lee Uversty of Washgto, Seattle Last tme & today Last tme Probablty theory
More informationWeb Service Composition Optimization Based on Improved Artificial Bee Colony Algorithm
JOURNAL OF NETWORKS, VOL. 8, NO. 9, SEPTEMBER 2013 2143 Web Servce Composto Optmzato Based o Improved Artfcal Bee Coloy Algorthm Ju He The key laboratory, The Academy of Equpmet, Beg, Cha Emal: heu0123@sa.com
More informationANALYTICAL MODEL FOR TCP FILE TRANSFERS OVER UMTS. Janne Peisa Ericsson Research 02420 Jorvas, Finland. Michael Meyer Ericsson Research, Germany
ANALYTICAL MODEL FOR TCP FILE TRANSFERS OVER UMTS Jae Pesa Erco Research 4 Jorvas, Flad Mchael Meyer Erco Research, Germay Abstract Ths paper proposes a farly complex model to aalyze the performace of
More informationReinsurance and the distribution of term insurance claims
Resurace ad the dstrbuto of term surace clams By Rchard Bruyel FIAA, FNZSA Preseted to the NZ Socety of Actuares Coferece Queestow - November 006 1 1 Itroducto Ths paper vestgates the effect of resurace
More informationLoad Balancing Control for Parallel Systems
Proc IEEE Med Symposum o New drectos Cotrol ad Automato, Chaa (Grèce),994, pp66-73 Load Balacg Cotrol for Parallel Systems Jea-Claude Heet LAAS-CNRS, 7 aveue du Coloel Roche, 3077 Toulouse, Frace E-mal
More informationA Novel Resource Pricing Mechanism based on Multi-Player Gaming Model in Cloud Environments
1574 JOURNAL OF SOFTWARE, VOL. 9, NO. 6, JUNE 2014 A Novel Resource Prcg Mechasm based o Mult-Player Gamg Model Cloud Evromets Tea Zhag, Peg Xao School of Computer ad Commucato, Hua Isttute of Egeerg,
More informationCompressive Sensing over Strongly Connected Digraph and Its Application in Traffic Monitoring
Compressve Sesg over Strogly Coected Dgraph ad Its Applcato Traffc Motorg Xao Q, Yogca Wag, Yuexua Wag, Lwe Xu Isttute for Iterdscplary Iformato Sceces, Tsghua Uversty, Bejg, Cha {qxao3, kyo.c}@gmal.com,
More informationAn Application of Graph Theory in the Process of Mutual Debt Compensation
Acta Poltechca Hugarca ol. 12 No. 3 2015 A Applcato of Graph Theor the Process of Mutual Debt Compesato ladmír Gazda Des Horváth Marcel Rešovský Techcal Uverst of Košce Facult of Ecoomcs; Němcove 32 040
More informationCHAPTER 2. Time Value of Money 6-1
CHAPTER 2 Tme Value of Moey 6- Tme Value of Moey (TVM) Tme Les Future value & Preset value Rates of retur Autes & Perpetutes Ueve cash Flow Streams Amortzato 6-2 Tme les 0 2 3 % CF 0 CF CF 2 CF 3 Show
More informationThe paper presents Constant Rebalanced Portfolio first introduced by Thomas
Itroducto The paper presets Costat Rebalaced Portfolo frst troduced by Thomas Cover. There are several weakesses of ths approach. Oe s that t s extremely hard to fd the optmal weghts ad the secod weakess
More informationHow To Value An Annuity
Future Value of a Auty After payg all your blls, you have $200 left each payday (at the ed of each moth) that you wll put to savgs order to save up a dow paymet for a house. If you vest ths moey at 5%
More informationResearch on Cloud Computing and Its Application in Big Data Processing of Railway Passenger Flow
325 A publcato of CHEMICAL ENGINEERING TRANSACTIONS VOL. 46, 2015 Guest Edtors: Peyu Re, Yacag L, Hupg Sog Copyrght 2015, AIDIC Servz S.r.l., ISBN 978-88-95608-37-2; ISSN 2283-9216 The Itala Assocato of
More informationOptimal Packetization Interval for VoIP Applications Over IEEE 802.16 Networks
Optmal Packetzato Iterval for VoIP Applcatos Over IEEE 802.16 Networks Sheha Perera Harsha Srsea Krzysztof Pawlkowsk Departmet of Electrcal & Computer Egeerg Uversty of Caterbury New Zealad sheha@elec.caterbury.ac.z
More information