Parallel connection. The autotransformer. Regulation. Three- to two-phase conversion.
|
|
- Brian Johnson
- 7 years ago
- Views:
Transcription
1 4.1 Lecture 4 Trsformer Coectios rllel coectio. The utotrsformer. Regultio. Three- to two-phse coversio. Trsformers i rllel To be suitble for prllel opertio the trsformers must hve comptible polrity, rtio d phse displcemet. For exmple, trsformers of ideticl rted voltge coected Yd1 d Dy1 re comptible for prllel opertio, but trsformers Yd1 d Yd11 re ot, s their phse displcemets differ by 60. f ll of the bove coditios of comptibility re stisfied, the prllel coected trsformers my still fil to shre the lod i fir mer. The shrig of lod depeds o: (i) (ii) Trsformer impedces mll differeces i rtio Let: omil voltge rtio (primry/secodry) (4.1) ctul rtio of trsformer ctul rtio of trsformer (4.) (4.3) (4.4) ower Circuit Theory 011
2 4. equivlet circuit of two trsformers i prllel is show below: circ Figure 4.1 Two trsformers i prllel O o lod ( 0 ) we hve circultig curret betwee the trsformers (usig per-uit vlues): circ (4.5) where: per uit differece i rtio (4.6) Whe the we hve blced bridge circuit, d hece the circultig curret is idepedet of the lod curret. Eve if the trsformer impedces re ot equl, becuse the lod impedce is much lrger th the trsformer impedces, the couplig betwee the lod curret d the circultig curret is wek d c be igored. ower Circuit Theory 011
3 4.3 Therefore we c first clculte the brch currets by ssumig 0, d the dd the circultig curret to obti the totl curret i ech trsformer: (4.7) circ circ Exmple Two 50 M 11 / 66 k trsformers (T1 d T) re operted i prllel, supplyig lod of 80 MW d 60 Mvr t 66 k. The rectces r 6% d 8% for T1 d T respectively, resistces re cosidered egligible. oth trsformers hve o-lod tp chgers providig rtio djustmets i 3 discrete steps of 0.65% over the totl rge of 90% to 110% of the omil rtio. Clculte: ) er-uit mgitudes of trsformer currets whe both trsformers re operted t omil rtio. b) Tp djustmets to optimize lod shrig. olutio: Use 50 M, d lod voltge 1 j0 p.u. (referece). bse ) oth trsformers t omil rtio Lod power 80 j j1. p.u. Lod curret * 1.6 j p.u. j8 1.6 j j p.u. (overlod) j6 j8 ower Circuit Theory 011
4 4.4 j6 j6 j8 1.6 j j p.u. b) Rtio djustmet circ 1 j j0.06 j j0.686 j j0.514 j Note tht we c lter oly the rective compoets, the rel compoets re fixed. Optimum lod shrig occurs whe. uttig x , we hve: x x 0.38 olvig we obti x 0. 38, hece p.u. 3.33% % 0.65% 5.3 icremet differece, with. Usully the tps re provided i the H widig. Therefore icrese the 66 k tp settig of Trsformer by 3 icremets, d decrese Trsformer 1 by icremets. The 50.65% p.u. ower Circuit Theory 011
5 4.5 The phsor digrm is show below: circ before chgig tps - circ circ before chgig tps circ j0.06 j0.08 j0.3 p.u j j j j j j0.3 ower Circuit Theory 011
6 4.6 The utotrsformer Cosider the step-up utotrsformer with N primry turs d N secodry turs, with N N. There is svig of mterils by mkig the primry serve s prt of the secodry. N - - N N Figure 4. tep-up utotrsformer ctul costructio there re two widigs: commo widig with turs, d series widig with rrgemet re: N N N turs. The resos for this Differet coductor sizes Low lekge rectce Mechicl forces o short circuit Usig the idel trsformer model, the mmf blce is: N N N (4.8) or: N N (4.9) lso: ower Circuit Theory 011
7 4.7 N N (4.10) Therefore: 1 (4.11) Let the currets d voltges be the rted vlues for the utotrsformer. The the rted power is: (4.1) f the coils were rewired so tht the trsformer hs two seprte widigs with turs N d N N, the the rted power would be: e 1 1 for 1 (4.13) e is the equivlet two-widig rtig of the utotrsformer. ecuse e the utotrsformer c be mde physiclly smller th covetiol two-widig trsformer of the sme power rtig. ower Circuit Theory 011
8 4.8 Now let the equivlet two-widig trsformer hve lekge impedce ohms referred to the secodry widig, which is the series widig of the trsformer. N - - N N Figure 4.3 tep-up utotrsformer with lekge impedce The per-uit lekge impedce of the utotrsformer, bsed o its rtig is ow: uto p.u. (4.14) The per-uit lekge impedce of the equivlet two-widig trsformer, bsed o its rtig e is: w uto e p.u. (4.15) ower Circuit Theory 011
9 4.9 Therefore: uto 1 - p.u. for 1 w (4.16) Note tht the sme fctor 1 ppers i Eqs. (4.16) d (4.16). To obti step-dow utotrsformer 1, swp the primry d secodry termils. The: e for 1 (4.17) imilrly: uto 1 1- w p.u. for 1 (4.18) ower Circuit Theory 011
10 4.10 Regultio er-uit regultio of trsformer is defied s: NL NL p.u. (4.19) where: NL = secodry voltge o o lod = secodry voltge o specified lod (4.0) Whe the mgetisig curret d cpcitive effects re egligible, s is the cse i power trsformer, d we use per-uit vlues for ll qutities, the Eq. (4.19) gives: p.u. (4.1) equivlet circuit d phsor digrm i this cse is show below: R jx jx R Figure 4.4 Trsformer regultio ower Circuit Theory 011
11 4.11 Usully is the rted voltge, d the mgitude of the impedce voltge is smll, i.e. R jx d 1p.u. The d re erly i phse, d the followig pproximtio c be used: R R cos jx X si Figure 4.5 pproximte trsformer regultio Therefore: Rcos X si (4.) ower Circuit Theory 011
12 4.1 Three-hse to Two-hse Coversio Two-phse systems were the first polyphse systems. Two-phse geertors were used i the first hydroelectric power sttio t Nigr Flls i The dvtge of two-phse electricl power ws tht it llowed for simple, selfstrtig electric motors. Three-phse systems hve replced two-phse systems for commercil distributio of electricl eergy, but two-phse circuits re still foud i certi cotrol systems. Two sigle-phse trsformers re coected s show. This is kow s the cott coectio. Teser N =0 N (optiol) C Mi b b C C b Figure 4.6 cott coectio The cott coectio c be foud i few specil pplictios, such s cott coectios bck-to-bck for low-power three-phse trsformers. ower flow c be i either directio (3-phse to -phse or i reverse), but we will ssume the three-phse side to be the primry. ower Circuit Theory 011
13 4.13 The two sigle-phse trsformers hve equl power rtig: Mi trsformer turs rtio widig. N. Cetre tp, lbelled, o primry N Teser trsformer turs rtio 3 1. Optiol tp t primry turs. 3 ssume symmetricl three-phse voltge source is coected to the primry, d use idel trsformer modellig. For the momet, ssume the eutrl (tppig poit N) to be discoected. The secodry voltges re: b 3 C j 3 3 (4.3) (4.4) givig: b j (4.5) Now ssume tht the secodry is coected to blced two-phse lod (or two equl sigle-phse lods) with some rbitrry power fctor. The. b j ice the primry voltges re blced, the phsor digrm shows the tppig poit N to be t zero voltge, therefore o eutrl curret c exist whe the optiol eutrl coectio is mde. N 0 lwys, d C. lso, C b j j 3. ower Circuit Theory 011
14 4.14 Now we hve two simulteous equtios: C C j 3 (4.6) where: 3 (4.7) olvig Eq. (4.6) gives h d C h. This proves tht for blced twophse secodry currets we hve blced three-phse primry currets. From Eq. (4.7) d Eq. (4.3) we lso coclude tht the primry power fctor is the sme s the secodry power fctor. ower Circuit Theory 011
15 4.15 ummry To be suitble for prllel opertio the trsformers must hve comptible polrity, rtio d phse displcemet. rllel coected trsformers shre the lod i mer which depeds o the trsformer impedces d differeces i the turs rtio. utotrsformers provide higher rtig (compred to stdrd trsformer) for the sme cost. They therefore operte more efficietly sice the losses re the sme s for the ordiry coectio. The loss of electricl isoltio betwee the high- d low-voltge sides is usully the reso they re ot used extesively. Regultio of trsformer is mesure of the voltge vritio betwee full-lod d o-lod coditios. The cott coectio c be used to covert betwee three-phse system d two-phse system. Refereces Crmo, J.: ower Circuit Theory Notes, UT, Truupold, E.: ower Circuit Theory Notes, UT, ower Circuit Theory 011
16 4.16 Exercises 1. Two trsformers of power rtigs d hve ideticl voltge rtigs d widig coectios. Their per-uit impedces d re bsed o d respectively. rove tht the trsformers, operted i prllel, shre the lod ccordig to their cpbility if k trsformer hvig impedce of 1. j4.% is prlleled with similr 300 k trsformer hvig impedce of 1.5 j5.0%. oth impedces re referred to their respective k rtigs. The combied lod is 600 k t 0.75 p.f. lg. Fid the complex power delivered by ech trsformer. 3. The trsformer i Q6 hs tppig switch to chge the umber of H turs i icremets of 1.5 % of the pricipl tppig. Two of such trsformers, lbelled 1 d, re operted i prllel (icludig the tertiry widigs). Trsformer 1 is o the pricipl tppig, while trsformer is o the ext higher tp. Clculte the resultig circultig currets. 4. cott coected trsformers re used to supply 100 to two idepedetly switched sigle-phse lods. The three-phse supply voltge is 415, d ech sigle-phse lod is 5 k, uity power fctor. Determie the three-phse iput currets (mgitude d phse gle) for the followig coditios: () oth lods coected. (b) Lod o the mi trsformer. (c) Lod o the teser trsformer oly. ower Circuit Theory 011
INVESTIGATION OF PARAMETERS OF ACCUMULATOR TRANSMISSION OF SELF- MOVING MACHINE
ENGINEEING FO UL DEVELOENT Jelgv, 28.-29.05.2009. INVESTIGTION OF ETES OF CCUULTO TNSISSION OF SELF- OVING CHINE leksdrs Kirk Lithui Uiversity of griculture, Kus leksdrs.kirk@lzuu.lt.lt bstrct. Uder the
More informationChapter 04.05 System of Equations
hpter 04.05 System of Equtios After redig th chpter, you should be ble to:. setup simulteous lier equtios i mtrix form d vice-vers,. uderstd the cocept of the iverse of mtrix, 3. kow the differece betwee
More informationMATHEMATICS FOR ENGINEERING BASIC ALGEBRA
MATHEMATICS FOR ENGINEERING BASIC ALGEBRA TUTORIAL - INDICES, LOGARITHMS AND FUNCTION This is the oe of series of bsic tutorils i mthemtics imed t begiers or yoe wtig to refresh themselves o fudmetls.
More informationApplication: Volume. 6.1 Overture. Cylinders
Applictio: Volume 61 Overture I this chpter we preset other pplictio of the defiite itegrl, this time to fid volumes of certi solids As importt s this prticulr pplictio is, more importt is to recogize
More informationA. Description: A simple queueing system is shown in Fig. 16-1. Customers arrive randomly at an average rate of
Queueig Theory INTRODUCTION Queueig theory dels with the study of queues (witig lies). Queues boud i rcticl situtios. The erliest use of queueig theory ws i the desig of telehoe system. Alictios of queueig
More informationRotating DC Motors Part II
Rotting Motors rt II II.1 Motor Equivlent Circuit The next step in our consiertion of motors is to evelop n equivlent circuit which cn be use to better unerstn motor opertion. The rmtures in rel motors
More informationRepeated multiplication is represented using exponential notation, for example:
Appedix A: The Lws of Expoets Expoets re short-hd ottio used to represet my fctors multiplied together All of the rules for mipultig expoets my be deduced from the lws of multiplictio d divisio tht you
More informationPresent and future value formulae for uneven cash flow Based on performance of a Business
Advces i Mgemet & Applied Ecoomics, vol., o., 20, 93-09 ISSN: 792-7544 (prit versio), 792-7552 (olie) Itertiol Scietific Press, 20 Preset d future vlue formule for ueve csh flow Bsed o performce of Busiess
More informationMATHEMATICS SYLLABUS SECONDARY 7th YEAR
Europe Schools Office of the Secretry-Geerl Pedgogicl developmet Uit Ref.: 2011-01-D-41-e-2 Orig.: DE MATHEMATICS SYLLABUS SECONDARY 7th YEAR Stdrd level 5 period/week course Approved y the Joit Techig
More informationCHAPTER-10 WAVEFUNCTIONS, OBSERVABLES and OPERATORS
Lecture Notes PH 4/5 ECE 598 A. L Ros INTRODUCTION TO QUANTUM MECHANICS CHAPTER-0 WAVEFUNCTIONS, OBSERVABLES d OPERATORS 0. Represettios i the sptil d mometum spces 0..A Represettio of the wvefuctio i
More informationn Using the formula we get a confidence interval of 80±1.64
9.52 The professor of sttistics oticed tht the rks i his course re orlly distributed. He hs lso oticed tht his orig clss verge is 73% with stdrd devitio of 12% o their fil exs. His fteroo clsses verge
More informationGray level image enhancement using the Bernstein polynomials
Buletiul Ştiiţiic l Uiersităţii "Politehic" di Timişor Seri ELECTRONICĂ şi TELECOMUNICAŢII TRANSACTIONS o ELECTRONICS d COMMUNICATIONS Tom 47(6), Fscicol -, 00 Gry leel imge ehcemet usig the Berstei polyomils
More informationSummation Notation The sum of the first n terms of a sequence is represented by the summation notation i the index of summation
Lesso 0.: Sequeces d Summtio Nottio Def. of Sequece A ifiite sequece is fuctio whose domi is the set of positive rel itegers (turl umers). The fuctio vlues or terms of the sequece re represeted y, 2, 3,...,....
More informationm n Use technology to discover the rules for forms such as a a, various integer values of m and n and a fixed integer value a.
TIth.co Alger Expoet Rules ID: 988 Tie required 25 iutes Activity Overview This ctivity llows studets to work idepedetly to discover rules for workig with expoets, such s Multiplictio d Divisio of Like
More informationMATH 150 HOMEWORK 4 SOLUTIONS
MATH 150 HOMEWORK 4 SOLUTIONS Section 1.8 Show tht the product of two of the numbers 65 1000 8 2001 + 3 177, 79 1212 9 2399 + 2 2001, nd 24 4493 5 8192 + 7 1777 is nonnegtive. Is your proof constructive
More informationMATHEMATICAL INDUCTION
MATHEMATICAL INDUCTION. Itroductio Mthemtics distiguishes itself from the other scieces i tht it is built upo set of xioms d defiitios, o which ll subsequet theorems rely. All theorems c be derived, or
More informationPhysics 43 Homework Set 9 Chapter 40 Key
Physics 43 Homework Set 9 Chpter 4 Key. The wve function for n electron tht is confined to x nm is. Find the normliztion constnt. b. Wht is the probbility of finding the electron in. nm-wide region t x
More informationChapter 13 Volumetric analysis (acid base titrations)
Chpter 1 Volumetric lysis (cid se titrtios) Ope the tp d ru out some of the liquid util the tp coectio is full of cid d o ir remis (ir ules would led to iccurte result s they will proly dislodge durig
More informationGraphs on Logarithmic and Semilogarithmic Paper
0CH_PHClter_TMSETE_ 3//00 :3 PM Pge Grphs on Logrithmic nd Semilogrithmic Pper OBJECTIVES When ou hve completed this chpter, ou should be ble to: Mke grphs on logrithmic nd semilogrithmic pper. Grph empiricl
More information2 DIODE CLIPPING and CLAMPING CIRCUITS
2 DIODE CLIPPING nd CLAMPING CIRCUITS 2.1 Ojectives Understnding the operting principle of diode clipping circuit Understnding the operting principle of clmping circuit Understnding the wveform chnge of
More informationPREMIUMS CALCULATION FOR LIFE INSURANCE
ls of the Uiversity of etroşi, Ecoomics, 2(3), 202, 97-204 97 REIUS CLCULTIO FOR LIFE ISURCE RE, RI GÎRBCI * BSTRCT: The pper presets the techiques d the formuls used o itertiol prctice for estblishig
More informationThe Velocity Factor of an Insulated Two-Wire Transmission Line
The Velocity Fctor of n Insulted Two-Wire Trnsmission Line Problem Kirk T. McDonld Joseph Henry Lbortories, Princeton University, Princeton, NJ 08544 Mrch 7, 008 Estimte the velocity fctor F = v/c nd the
More informationAnswer, Key Homework 10 David McIntyre 1
Answer, Key Homework 10 Dvid McIntyre 1 This print-out should hve 22 questions, check tht it is complete. Multiple-choice questions my continue on the next column or pge: find ll choices efore mking your
More information0.7 0.6 0.2 0 0 96 96.5 97 97.5 98 98.5 99 99.5 100 100.5 96.5 97 97.5 98 98.5 99 99.5 100 100.5
Sectio 13 Kolmogorov-Smirov test. Suppose that we have a i.i.d. sample X 1,..., X with some ukow distributio P ad we would like to test the hypothesis that P is equal to a particular distributio P 0, i.e.
More informationReasoning to Solve Equations and Inequalities
Lesson4 Resoning to Solve Equtions nd Inequlities In erlier work in this unit, you modeled situtions with severl vriles nd equtions. For exmple, suppose you were given usiness plns for concert showing
More informationFast Circuit Simulation Based on Parallel-Distributed LIM using Cloud Computing System
JOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE, VOL.0, NO., MARCH, 00 49 Fst Circuit Simultio Bsed o Prllel-Distriuted LIM usig Cloud Computig System Yut Ioue, Tdtoshi Sekie, Tkhiro Hsegw d Hideki Asi
More informationBinary Representation of Numbers Autar Kaw
Binry Representtion of Numbers Autr Kw After reding this chpter, you should be ble to: 1. convert bse- rel number to its binry representtion,. convert binry number to n equivlent bse- number. In everydy
More informationUse Geometry Expressions to create a more complex locus of points. Find evidence for equivalence using Geometry Expressions.
Lerning Objectives Loci nd Conics Lesson 3: The Ellipse Level: Preclculus Time required: 120 minutes In this lesson, students will generlize their knowledge of the circle to the ellipse. The prmetric nd
More information4. DC MOTORS. Understand the basic principles of operation of a DC motor. Understand the operation and basic characteristics of simple DC motors.
4. DC MOTORS Almost every mechnicl movement tht we see round us is ccomplished by n electric motor. Electric mchines re mens o converting energy. Motors tke electricl energy nd produce mechnicl energy.
More informationEE247 Lecture 4. For simplicity, will start with all pole ladder type filters. Convert to integrator based form- example shown
EE247 Lecture 4 Ldder type filters For simplicity, will strt with ll pole ldder type filters Convert to integrtor bsed form exmple shown Then will ttend to high order ldder type filters incorporting zeros
More informationExperiment 6: Friction
Experiment 6: Friction In previous lbs we studied Newton s lws in n idel setting, tht is, one where friction nd ir resistnce were ignored. However, from our everydy experience with motion, we know tht
More informationCHAPTER 3 DIGITAL CODING OF SIGNALS
CHAPTER 3 DIGITAL CODING OF SIGNALS Computers are ofte used to automate the recordig of measuremets. The trasducers ad sigal coditioig circuits produce a voltage sigal that is proportioal to a quatity
More informationLesson 17 Pearson s Correlation Coefficient
Outlie Measures of Relatioships Pearso s Correlatio Coefficiet (r) -types of data -scatter plots -measure of directio -measure of stregth Computatio -covariatio of X ad Y -uique variatio i X ad Y -measurig
More informationMANUFACTURER-RETAILER CONTRACTING UNDER AN UNKNOWN DEMAND DISTRIBUTION
MANUFACTURER-RETAILER CONTRACTING UNDER AN UNKNOWN DEMAND DISTRIBUTION Mrti A. Lriviere Fuqu School of Busiess Duke Uiversity Ev L. Porteus Grdute School of Busiess Stford Uiversity Drft December, 995
More informationSpace Vector Pulse Width Modulation Based Induction Motor with V/F Control
Interntionl Journl of Science nd Reserch (IJSR) Spce Vector Pulse Width Modultion Bsed Induction Motor with V/F Control Vikrmrjn Jmbulingm Electricl nd Electronics Engineering, VIT University, Indi Abstrct:
More informationTreatment Spring Late Summer Fall 0.10 5.56 3.85 0.61 6.97 3.01 1.91 3.01 2.13 2.99 5.33 2.50 1.06 3.53 6.10 Mean = 1.33 Mean = 4.88 Mean = 3.
The nlysis of vrince (ANOVA) Although the t-test is one of the most commonly used sttisticl hypothesis tests, it hs limittions. The mjor limittion is tht the t-test cn be used to compre the mens of only
More informationOperations with Polynomials
38 Chpter P Prerequisites P.4 Opertions with Polynomils Wht you should lern: Write polynomils in stndrd form nd identify the leding coefficients nd degrees of polynomils Add nd subtrct polynomils Multiply
More informationEQUATIONS OF LINES AND PLANES
EQUATIONS OF LINES AND PLANES MATH 195, SECTION 59 (VIPUL NAIK) Corresponding mteril in the ook: Section 12.5. Wht students should definitely get: Prmetric eqution of line given in point-direction nd twopoint
More informationLectures 8 and 9 1 Rectangular waveguides
1 Lectures 8 nd 9 1 Rectngulr wveguides y b x z Consider rectngulr wveguide with 0 < x b. There re two types of wves in hollow wveguide with only one conductor; Trnsverse electric wves
More informationModule 5. Three-phase AC Circuits. Version 2 EE IIT, Kharagpur
Module 5 Three-hse A iruits Version EE IIT, Khrgur esson 8 Three-hse Blned Suly Version EE IIT, Khrgur In the module, ontining six lessons (-7), the study of iruits, onsisting of the liner elements resistne,
More informationWe will begin this chapter with a quick refresher of what an exponent is.
.1 Exoets We will egi this chter with quick refresher of wht exoet is. Recll: So, exoet is how we rereset reeted ultilictio. We wt to tke closer look t the exoet. We will egi with wht the roerties re for
More informationReleased Assessment Questions, 2015 QUESTIONS
Relesed Assessmet Questios, 15 QUESTIONS Grde 9 Assessmet of Mthemtis Ademi Red the istrutios elow. Alog with this ooklet, mke sure you hve the Aswer Booklet d the Formul Sheet. You my use y spe i this
More informationSoving Recurrence Relations
Sovig Recurrece Relatios Part 1. Homogeeous liear 2d degree relatios with costat coefficiets. Cosider the recurrece relatio ( ) T () + at ( 1) + bt ( 2) = 0 This is called a homogeeous liear 2d degree
More informationSmall Business Networking
Why network is n essentil productivity tool for ny smll business Effective technology is essentil for smll businesses looking to increse the productivity of their people nd business. Introducing technology
More informationThe Stable Marriage Problem
The Stable Marriage Problem William Hut Lae Departmet of Computer Sciece ad Electrical Egieerig, West Virgiia Uiversity, Morgatow, WV William.Hut@mail.wvu.edu 1 Itroductio Imagie you are a matchmaker,
More informationMathematics. Vectors. hsn.uk.net. Higher. Contents. Vectors 128 HSN23100
hsn.uk.net Higher Mthemtics UNIT 3 OUTCOME 1 Vectors Contents Vectors 18 1 Vectors nd Sclrs 18 Components 18 3 Mgnitude 130 4 Equl Vectors 131 5 Addition nd Subtrction of Vectors 13 6 Multipliction by
More informationWeek 11 - Inductance
Week - Inductnce November 6, 202 Exercise.: Discussion Questions ) A trnsformer consists bsiclly of two coils in close proximity but not in electricl contct. A current in one coil mgneticlly induces n
More informationOr more simply put, when adding or subtracting quantities, their uncertainties add.
Propgtion of Uncertint through Mthemticl Opertions Since the untit of interest in n eperiment is rrel otined mesuring tht untit directl, we must understnd how error propgtes when mthemticl opertions re
More informationSmall Business Networking
Why network is n essentil productivity tool for ny smll business Effective technology is essentil for smll businesses looking to increse the productivity of their people nd business. Introducing technology
More informationPolynomial Functions. Polynomial functions in one variable can be written in expanded form as ( )
Polynomil Functions Polynomil functions in one vrible cn be written in expnded form s n n 1 n 2 2 f x = x + x + x + + x + x+ n n 1 n 2 2 1 0 Exmples of polynomils in expnded form re nd 3 8 7 4 = 5 4 +
More informationAP Calculus AB 2006 Scoring Guidelines Form B
AP Calculus AB 6 Scorig Guidelies Form B The College Board: Coectig Studets to College Success The College Board is a ot-for-profit membership associatio whose missio is to coect studets to college success
More informationGroundwater Management Tools: Analytical Procedure and Case Studies. MAF Technical Paper No: 2003/06. Prepared for MAF Policy by Vince Bidwell
Groudwter Mgemet Tools: Alyticl Procedure d Cse Studies MAF Techicl Pper No: 00/06 Prepred for MAF Policy by Vice Bidwell ISBN No: 0-78-0777-8 ISSN No: 7-66 October 00 Disclimer While every effort hs bee
More informationVectors 2. 1. Recap of vectors
Vectors 2. Recp of vectors Vectors re directed line segments - they cn be represented in component form or by direction nd mgnitude. We cn use trigonometry nd Pythgors theorem to switch between the forms
More informationDEPARTMENT OF ACTUARIAL STUDIES RESEARCH PAPER SERIES
DEPARTMENT OF ACTUARIAL STUDIES RESEARCH PAPER SERIES The ulti-bioil odel d pplictios by Ti Kyg Reserch Pper No. 005/03 July 005 Divisio of Ecooic d Ficil Studies Mcqurie Uiversity Sydey NSW 09 Austrli
More informationBabylonian Method of Computing the Square Root: Justifications Based on Fuzzy Techniques and on Computational Complexity
Bbylonin Method of Computing the Squre Root: Justifictions Bsed on Fuzzy Techniques nd on Computtionl Complexity Olg Koshelev Deprtment of Mthemtics Eduction University of Texs t El Pso 500 W. University
More informationModule 2. Analysis of Statically Indeterminate Structures by the Matrix Force Method. Version 2 CE IIT, Kharagpur
Module Anlysis of Stticlly Indeterminte Structures by the Mtrix Force Method Version CE IIT, Khrgpur esson 9 The Force Method of Anlysis: Bems (Continued) Version CE IIT, Khrgpur Instructionl Objectives
More informationSPECIAL PRODUCTS AND FACTORIZATION
MODULE - Specil Products nd Fctoriztion 4 SPECIAL PRODUCTS AND FACTORIZATION In n erlier lesson you hve lernt multipliction of lgebric epressions, prticulrly polynomils. In the study of lgebr, we come
More informationBasic Analysis of Autarky and Free Trade Models
Bsic Anlysis of Autrky nd Free Trde Models AUTARKY Autrky condition in prticulr commodity mrket refers to sitution in which country does not engge in ny trde in tht commodity with other countries. Consequently
More informationEcon 4721 Money and Banking Problem Set 2 Answer Key
Econ 472 Money nd Bnking Problem Set 2 Answer Key Problem (35 points) Consider n overlpping genertions model in which consumers live for two periods. The number of people born in ech genertion grows in
More informationDlNBVRGH + Sickness Absence Monitoring Report. Executive of the Council. Purpose of report
DlNBVRGH + + THE CITY OF EDINBURGH COUNCIL Sickness Absence Monitoring Report Executive of the Council 8fh My 4 I.I...3 Purpose of report This report quntifies the mount of working time lost s result of
More informationMATHEMATICAL ANALYSIS
Mri Predoi Trdfir Băl MATHEMATICAL ANALYSIS VOL II INTEGRAL CALCULUS Criov, 5 CONTENTS VOL II INTEGRAL CALCULUS Chpter V EXTENING THE EFINITE INTEGRAL V efiite itegrls with prmeters Problems V 5 V Improper
More informationA.7.1 Trigonometric interpretation of dot product... 324. A.7.2 Geometric interpretation of dot product... 324
A P P E N D I X A Vectors CONTENTS A.1 Scling vector................................................ 321 A.2 Unit or Direction vectors...................................... 321 A.3 Vector ddition.................................................
More informationMath 135 Circles and Completing the Square Examples
Mth 135 Circles nd Completing the Squre Exmples A perfect squre is number such tht = b 2 for some rel number b. Some exmples of perfect squres re 4 = 2 2, 16 = 4 2, 169 = 13 2. We wish to hve method for
More informationLINEAR TRANSFORMATIONS AND THEIR REPRESENTING MATRICES
LINEAR TRANSFORMATIONS AND THEIR REPRESENTING MATRICES DAVID WEBB CONTENTS Liner trnsformtions 2 The representing mtrix of liner trnsformtion 3 3 An ppliction: reflections in the plne 6 4 The lgebr of
More informationBK-W, BKD-W. 1 Technical description
, BKD-W 1 Technicl description Rective power compenstors re designed for compensting rective power (improving power coefficient cos? ) in low voltge networks in industril sites nd division sttions.in the
More informationSmall Business Networking
Why network is n essentil productivity tool for ny smll business Effective technology is essentil for smll businesses looking to increse the productivity of their people nd processes. Introducing technology
More informationChapter 04.00E Physical Problem for Electrical Engineering Simultaneous Linear Equations
hpter 04.00E Phyicl Prblem fr Electricl Egieerig Simulteu Lie Equti Prblem Sttemet Three-phe ytem e the rm fr mt idutril pplicti. pwer i the frm f vltge d curret it delivered frm the pwer cmpy uig three-phe
More informationHypothesis testing. Null and alternative hypotheses
Hypothesis testig Aother importat use of samplig distributios is to test hypotheses about populatio parameters, e.g. mea, proportio, regressio coefficiets, etc. For example, it is possible to stipulate
More informationTrigonometric Form of a Complex Number. The Complex Plane. axis. ( 2, 1) or 2 i FIGURE 6.44. The absolute value of the complex number z a bi is
0_0605.qxd /5/05 0:45 AM Page 470 470 Chapter 6 Additioal Topics i Trigoometry 6.5 Trigoometric Form of a Complex Number What you should lear Plot complex umbers i the complex plae ad fid absolute values
More informationHeat (or Diffusion) equation in 1D*
Heat (or Diffusio) equatio i D* Derivatio of the D heat equatio Separatio of variables (refresher) Worked eamples *Kreysig, 8 th Ed, Sectios.4b Physical assumptios We cosider temperature i a log thi wire
More informationoutput voltage and are known as non-zero switching states and the remaining two
SPACE ECTOR MODULATION FOR THREE-LEG OLTAGE SOURCE INERTERS.1 THREE-LEG OLTAGE SOURCE INERTER The toology of three-leg voltge soure iverter is show i Fig..1. Beuse of the ostrit tht the iut lies must ever
More information(VCP-310) 1-800-418-6789
Maual VMware Lesso 1: Uderstadig the VMware Product Lie I this lesso, you will first lear what virtualizatio is. Next, you ll explore the products offered by VMware that provide virtualizatio services.
More informationHow To Network A Smll Business
Why network is n essentil productivity tool for ny smll business Effective technology is essentil for smll businesses looking to increse the productivity of their people nd processes. Introducing technology
More informationTheorems About Power Series
Physics 6A Witer 20 Theorems About Power Series Cosider a power series, f(x) = a x, () where the a are real coefficiets ad x is a real variable. There exists a real o-egative umber R, called the radius
More informationCS99S Laboratory 2 Preparation Copyright W. J. Dally 2001 October 1, 2001
CS99S Lortory 2 Preprtion Copyright W. J. Dlly 2 Octoer, 2 Ojectives:. Understnd the principle of sttic CMOS gte circuits 2. Build simple logic gtes from MOS trnsistors 3. Evlute these gtes to oserve logic
More informationHelicopter Theme and Variations
Helicopter Theme nd Vritions Or, Some Experimentl Designs Employing Pper Helicopters Some possible explntory vribles re: Who drops the helicopter The length of the rotor bldes The height from which the
More informationSmall Business Networking
Why network is n essentil productivity tool for ny smll business Effective technology is essentil for smll businesses looking to increse the productivity of their people nd processes. Introducing technology
More informationTransformer Maintenance Policies Selection Based on an Improved Fuzzy Analytic Hierarchy Process
JOURNAL OF COMPUTERS, VOL. 8, NO. 5, MAY 203 343 Trsformer Mitece Policies Selectio Bsed o Improved Fuzzy Alytic Hierrchy Process Hogxi Xie School of Computer sciece d Techology Chi Uiversity of Miig &
More information9.3. The Scalar Product. Introduction. Prerequisites. Learning Outcomes
The Sclr Product 9.3 Introduction There re two kinds of multipliction involving vectors. The first is known s the sclr product or dot product. This is so-clled becuse when the sclr product of two vectors
More informationLecture 4: Cheeger s Inequality
Spectral Graph Theory ad Applicatios WS 0/0 Lecture 4: Cheeger s Iequality Lecturer: Thomas Sauerwald & He Su Statemet of Cheeger s Iequality I this lecture we assume for simplicity that G is a d-regular
More information5.2. LINE INTEGRALS 265. Let us quickly review the kind of integrals we have studied so far before we introduce a new one.
5.2. LINE INTEGRALS 265 5.2 Line Integrls 5.2.1 Introduction Let us quickly review the kind of integrls we hve studied so fr before we introduce new one. 1. Definite integrl. Given continuous rel-vlued
More informationVectors. The magnitude of a vector is its length, which can be determined by Pythagoras Theorem. The magnitude of a is written as a.
Vectors mesurement which onl descries the mgnitude (i.e. size) of the oject is clled sclr quntit, e.g. Glsgow is 11 miles from irdrie. vector is quntit with mgnitude nd direction, e.g. Glsgow is 11 miles
More informationExample A rectangular box without lid is to be made from a square cardboard of sides 18 cm by cutting equal squares from each corner and then folding
1 Exmple A rectngulr box without lid is to be mde from squre crdbord of sides 18 cm by cutting equl squres from ech corner nd then folding up the sides. 1 Exmple A rectngulr box without lid is to be mde
More information15.6. The mean value and the root-mean-square value of a function. Introduction. Prerequisites. Learning Outcomes. Learning Style
The men vlue nd the root-men-squre vlue of function 5.6 Introduction Currents nd voltges often vry with time nd engineers my wish to know the verge vlue of such current or voltge over some prticulr time
More information5 Boolean Decision Trees (February 11)
5 Boolea Decisio Trees (February 11) 5.1 Graph Coectivity Suppose we are give a udirected graph G, represeted as a boolea adjacecy matrix = (a ij ), where a ij = 1 if ad oly if vertices i ad j are coected
More information1. C. The formula for the confidence interval for a population mean is: x t, which was
s 1. C. The formula for the cofidece iterval for a populatio mea is: x t, which was based o the sample Mea. So, x is guarateed to be i the iterval you form.. D. Use the rule : p-value
More informationCHAPTER 11 Numerical Differentiation and Integration
CHAPTER 11 Numericl Differentition nd Integrtion Differentition nd integrtion re bsic mthemticl opertions with wide rnge of pplictions in mny res of science. It is therefore importnt to hve good methods
More information1 Correlation and Regression Analysis
1 Correlatio ad Regressio Aalysis I this sectio we will be ivestigatig the relatioship betwee two cotiuous variable, such as height ad weight, the cocetratio of a ijected drug ad heart rate, or the cosumptio
More informationMEI Structured Mathematics. Module Summary Sheets. Statistics 2 (Version B: reference to new book)
MEI Mathematics i Educatio ad Idustry MEI Structured Mathematics Module Summary Sheets Statistics (Versio B: referece to ew book) Topic : The Poisso Distributio Topic : The Normal Distributio Topic 3:
More informationTwo hours UNIVERSITY OF MANCHESTER SCHOOL OF COMPUTER SCIENCE. Date: Friday 16 th May 2008. Time: 14:00 16:00
COMP20212 Two hours UNIVERSITY OF MANCHESTER SCHOOL OF COMPUTER SCIENCE Digitl Design Techniques Dte: Fridy 16 th My 2008 Time: 14:00 16:00 Plese nswer ny THREE Questions from the FOUR questions provided
More informationThis document contains a collection of formulas and constants useful for SPC chart construction. It assumes you are already familiar with SPC.
SPC Formulas ad Tables 1 This documet cotais a collectio of formulas ad costats useful for SPC chart costructio. It assumes you are already familiar with SPC. Termiology Geerally, a bar draw over a symbol
More informationPROBLEMS 05 - ELLIPSE Page 1
PROBLEMS 0 ELLIPSE Pge 1 ( 1 ) The edpoits A d B of AB re o the X d Yis respectivel If AB > 0 > 0 d P divides AB from A i the rtio : the show tht P lies o the ellipse 1 ( ) If the feet of the perpediculrs
More informationDiscontinuous Simulation Techniques for Worm Drive Mechanical Systems Dynamics
Discotiuous Simultio Techiques for Worm Drive Mechicl Systems Dymics Rostyslv Stolyrchuk Stte Scietific d Reserch Istitute of Iformtio Ifrstructure Ntiol Acdemy of Scieces of Ukrie PO Box 5446, Lviv-3,
More informationc. Values in statements are broken down by fiscal years; many projects are
Lecture 18: Finncil Mngement (Continued)/Csh Flow CEE 498 Construction Project Mngement L Schedules A. Schedule.of Contrcts Completed See Attchment # 1 ll. 1. Revenues Erned 2. Cost of Revenues 3. Gross
More informationApproximating Area under a curve with rectangles. To find the area under a curve we approximate the area using rectangles and then use limits to find
1.8 Approximatig Area uder a curve with rectagles 1.6 To fid the area uder a curve we approximate the area usig rectagles ad the use limits to fid 1.4 the area. Example 1 Suppose we wat to estimate 1.
More informationDomain 1 - Describe Cisco VoIP Implementations
Maual ONT (642-8) 1-800-418-6789 Domai 1 - Describe Cisco VoIP Implemetatios Advatages of VoIP Over Traditioal Switches Voice over IP etworks have may advatages over traditioal circuit switched voice etworks.
More informationLattice-Reduction-Aided Equalization and Generalized Partial- Response Signaling for Point-to-Point Transmission over Flat- Fading MIMO Channels
Lttice-Reductio-Aided Equliztio d Geerlized rtil- Respose Siglig for oit-to-oit Trsmissio over Flt- Fdig MIMO Chels Robert F.. Fischer Lehrstuhl für Iformtiosübertrgug, Friedrich Aleder Uiversität Erlge
More informationProperties of MLE: consistency, asymptotic normality. Fisher information.
Lecture 3 Properties of MLE: cosistecy, asymptotic ormality. Fisher iformatio. I this sectio we will try to uderstad why MLEs are good. Let us recall two facts from probability that we be used ofte throughout
More informationYour organization has a Class B IP address of 166.144.0.0 Before you implement subnetting, the Network ID and Host ID are divided as follows:
Subettig Subettig is used to subdivide a sigle class of etwork i to multiple smaller etworks. Example: Your orgaizatio has a Class B IP address of 166.144.0.0 Before you implemet subettig, the Network
More informationFinding the circle that best fits a set of points
Fidig the circle that best fits a set of poits L. MAISONOBE October 5 th 007 Cotets 1 Itroductio Solvig the problem.1 Priciples............................... Iitializatio.............................
More information