ME-Syllabus With Pos

8/17/2019 ME-Syllabus With Pos

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(Annexure)

DEPARTMENT OF ELECTRICAL & ELECTRONICS ENGINEERING

Scheme and Syllabi of

M.E. (EEE)

Power Systems and Power Electronics

2014 - 2015

CAITAN!A "ARATI INSTIT#TE OF TECNOLOG!

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G+n,/e$ ,er++,-50005

1


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Pr%3r+e E,u+$%n+* Oe$e' (PEO)6

PEO1: Will excel in power system and power electronics area.

PEO2: Will become successful in executing software related applications.

PEO: Will carry out research in new and applied technologies rele!ant to PS " PE

PEO#: Will de!elop with professional ethics$ effecti!e communication s%ills$ and%nowledge of societal impacts of computing technologies.

Pr%3r+e Ou$%e (PO)6

POs describe what students are expected to %now or be able to do by the time of Post

&raduation from the program. Program Outcomes are established as per the process

described in the Program Outcomes of P& in EEE 'PS"PE( are:

PO1: )n ability to apply %nowledge of core sub*ect which is deri!ed an initio in their four

year +& program

PO2: )n ability to stimulate an idea which is thought pro!o%ing in formulating

engineering re,uirement

PO: )n ability to form a problem$ analy-e$ diagnose and arri!e for many solutions

PO#: )n ability to design 'which is blended with simulation( prototype model which is a

primiti!e.

PO: )n ability to use digital techni,ues$ program s%ills " modern simulation tools

necessary for soft computing methods

PO/: )n ability to full fill aphorism 0 hin% locally act &lobally in order to cater to the

needs of society such as 3ultural En!ironmental issues.

PO4: )n ability to maintain the %nowledge le!els on par with contemporary

competencies

PO5: )n ability to comprehend the professional$ ethical$ legal$ security and social

responsibilities.

PO6: )n ability to aware that education is possession that cannot be isolated from the

indi!idual throughout their life

PO17: )n ability to communicate cogently with from all wal%s of life.

PO11: )n ability to demonstrate the capability and %nowledge to modify the problem

formulation and methods of solution based on the results to arri!e at acceptable solution$

independently

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CAITAN!A "ARATI INSTIT#TE OF TECNOLOG!

(Au$%n%%u') (A*+$e, $% O'+n+ #ner'$)

S7ee % In'$ru$%n & Ex+n+$%n

8.E. 'Power Systems " Power Electronics( 9ourSemester 3ourse '9ullime( 271#1

S.

;o

Sub*ect Periods

Per

Wee%

Semester

Exam


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M.E (P%:er S'$e +n, P%:er E*e$r%n')

>ist of theory and practical sub*ects

S*.N% C%,e N% C%re 'ue$'

1 EE171 Power Semi3onductor


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;$7 ee$ r% $7e ++,e e+r 2014-2015

EE5101 P%:er Se-C%n,u$%r Dee' & Cru$'

(C%re)Anstruction : # Periods ? Wee%

oad resonant$ @esonant

switch con!erters$ @esonant in% An!erters with ero Boltage Switching$ =igh fre,uency

>in% Antegral half3ycle con!erters.

#NIT


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EE5102 D'$ru$%n S'$e P*+nnn3 +n, Au$%+$%n

(C%re)Anstruction : # Periods ? Wee%


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Tex$ "%%='6

1. &onen uran$ FElectric Power


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EE510> A,+ne, C%/u$er Me$7%,' n P%:er S'$e'

(C%re)Anstruction : # Periods ? wee%

oad flow solution using &aussSeidel " ;ewton@aphson methods$ reatment of !oltage controlled buses$ )cceleration factors.

#NIT I<L%+, F*%: S$u,e'-II6


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EE5104 P%:er S'$e' S$+*$

(C%re) Anstruction : # Periods ? Wee%

ow fre,uency oscillation and supplementary controls$ ransfer function of low fre,uency oscillation studies$ Ampro!ing system damping with supplementary

excitation$


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#NIT <

Su-Sn7r%n%u' Re'%n+ne (SSR)6 SubSynchronous @esonance and Sub Synchronous

oscillations in series compensated transmission system$ urbine&enerator torsional

3haracteristics$ orsional interaction with power system controls$ SubSynchronous resonance

damping schemes.

Tex$ "%%='6

1. Jao;anJu$ F Power System &ynamics#! )cademic Press.2. Prabha Hundur$ F Power System Stability 4 %ontrol#! ata 8c&raw =ill Edition.

. H@ Padiyar$ F %TS %ontrollers in Power Transmission 4 &istribution#! ;ew )ge

Anternational Publishers.

Su33e'$e, Re+,n36

1. Stagg and El)biad$ F%omputer )ethods in Power systems#! 8c&raw =ill.

2. P.8. )nderson and ) ) 9oud$ F Power System %ontrol and Stability# $ AEEE Press.

17


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EE5105 A,+ne, E*e$r Dre'

(C%re)Anstruction : # Periods per wee%


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#NIT <

"ru'7*e'' DC M%$%r +n, S:$7e, Re*u$+ne M%$%r Dre'6 Switched reluctance motor

dri!e construction$ Wor%ing principle$ ;ormali-ed tor,uespeed characteristics$ Speed 3ontrol

Schemes$ 3ontrol schemes.

Drushless


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Anstruction : # Periods ? Wee%


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LIST OF EPERIMENTS

PART A 6 Su*+$%n

1. >oad fre,uency 3ontrol of Single " wo )rea System.

2. Economic dispatch in power systems. 9ormation of bus matrix using Duilding )lgorithm.#. >oad 9low Studies using &aussSeidel and ;ewton @aphson method

. ransient Stability Studies for different faults

/. Short 3ircuit )nalysis4. )pplications of 9)3S controllers

5.


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P+r$ A6 Su*+$%n

1. Single phase and hree phase A&D in!erters.

2. PW8 in in!erters.

. Duc% and Duc%Doost con!erter.

#. @esonant con!erter.

. B?f control of three phase induction motor.

/. hree phase )3 !oltage controller.4. Performance of three phase controlled rectifier with source inductance.

5. @eacti!e power compensation using 9)3S controllers.

P+r$ "6 +r,:+re

1. hree phase 8c8urray Ded9ord in!erter.

2. hree phase A&D in!erter.

. 3losed loop control of permanent magnet >oads.

4. hree phase step down 3yclo3on!erter.5. Speed control of S@A8 using static HramerIs system.

N%$e6 )t least 5 experiments should be conducted from e+7 /+r$.

;$7 ee$ r% $7e ++,e e+r 2014-2015

EE9101 M+7ne M%,e*n3 +n, An+*''

(E*e$e)Anstruction : # Periods ? Wee%


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#NIT II

T7e%r % DC M+7ne'6 8athematical model of separately excited


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• cquire "nowledge pertaining to daptive control systems and applications.

#NIT I

@e!iew of state !ariable representation of systems$ 3ontrollability and Obser!ability$ 8odel

control of single input$ single output systems 'SASO($ 3ontrollable and Obser!able companion

forms$ Effect of state feedbac% on 3ontrollability and Obser!ability$ Pole placement by State

feed bac%.

#NIT II3lassification of ;onlinearities$ Phenomenon exhibited by the nonlinearities$ >imit cycles$

Gump resonance Subharmonic oscillations$ Phase plane analysis$ Singular points$ 3onstruction

of phase plane tra*ectories$ Asocline method$ yapuno! stability$ >yapuno!Is first and second methods$

Stability of linear time in!ariant systems by >yapuno!Is second method$ &eneration of >yapuno!

functions$ Bariable gradient method$ Hrasoo!is%iIs method.

#NIT I<

9ormulation of optimal control problems$ 3alculus of !ariations$ 9undamental concepts$

9unctionals$ Bariation of functional$ 9undamental theorem of calculus of !ariations$ Doundaryconditions$3onstrained minimi-ation$


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EE910> A,+ne, P%:er S'$e Pr%$e$%n



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Tex$ "%%='6

1. Dadriram and Biswa%arma


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EE9104 Re+* Te A//*+$%n' n P%:er S'$e'


SE( techni,ue$ Pseudo

measurement' Statistical errors and bad data recognition$ Power system state estimator in noisy

en!ironment$ 3omposition of the Gacobian matrix = and the measurement !ector $ Obser!ability

in State Estimation$ )pplication of Power System State Estimation$ @ole of Phasor 8easurement

+nits 'P8+(.

#NIT III

C%n$n3en An+*'' Te7n@ue'6 Security in a power system$ )pproximations in contingency

analysis$ Simulation of addition and remo!al of multiple lines in a power system$ Simulation of

tie lines in inter connected power systems$ ;etwor% reduction for contingency analysis$

3ontingency analysis and approximate power flow method for simulating contingencies.

#NIT I


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#NIT


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EE 9105 Dere3u*+$%n % P%:er S'$e'


td.

2. Dhattacharya$ H.$ Dollen$ 8.=.G.$ and


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Su33e'$e, "%%='6

1. Alic$ 8.$ &aliana$ 9.$ and 9in%$ >.$ FPower System restructuring Engineering and EconomicsI$

Hluwer )cademic Publishers.

2. 8d Shahidephpour and )lomoush$ F@estructured Electrical Power SystemsI$ 8arcel


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EE 9109 SOFT COMP#TING TECNI#ES TO PO;ER

S!STEMS


>?! (enetic! Particle Swarm

/ptimi3ation! nt %olony search algorithms

• Understand the techniques to apply advanced optimi3ation algorithms to power system problems:

*eactive power planning! &istribution networ" e,pansion! optimal power flow! loss minimi3ation

etc.

fter completion of this course! the student:

• ble to understand different selection mechanisms in genetic algorithm

• cquire "nowledge of discrete PS/! hybrid PS/ etc• %apable of applying ant colony search algorithm to an optimi3ation problem

• %ompetent to have the "nowledge of "ey operators in differential evolution

#NIT- I

ANN6 earning rate$

>earning )lgorithms$ >8S algorithm$ Dac% propagation algorithm$ )BC algorithm.

#NIT- II

Fu L%36 Dasic concept of 9u--y logic$ 8embership 9unction$ 9u--y Set Operations and its

properties$ 9u--y relations$ 9u--y graphs$ 9u--y analysis$ 9u--y Cuantifiers$ 9u--y Anference$

@ule based system$ inear @an%ing Selection$ Exponential @an%ing Selection$ Elitist Selection$ Proportional

Selection$ 3rosso!er$ 8utation

#NIT- I<

Fun,+en$+*' % P+r$*e S:+r O/$+$%n Te7n@ue' 6 Antroduction$ Dasic Particle

Swarm Optimi-ation$ Dac%ground of Particle Swarm Optimi-ation$ Original PSO$ Bariations of

Particle Swarm Optimi-ation$ Ps$ 3onstriction 9actor )pproach

'39)($ =ybrid PSO '=PSO($ >best 8odel

#NIT- <

A//*+$%n' $% P%:er S'$e'6 oss 8inimi-ation etc.

Tex$ "%%='6

1. Hwang J. >ee and 8ohamed ). ElShar%awi$ F8odern heuristic optimi-ation techni,uesI$AEEE press$ WileyAnterscience Publication

2#


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2. Soliman$ Soliman )bdel=ady$ 8antawy$ )bdel)al =assan$ F8odern Optimi-ationechni,ues with )pplications in Electric Power SystemsI$ Springer publications

. Simon hay%in$ F;eural ;etwor%s: ) comprehensi!e foundationI$ Pearson Education.

#. immermann.=.G$ F9u--y Set heory and Ats )pplicationsI$ Hluwer )cademic Publishers

Su33e'$e, Re+,n36

1. S.;.Si!anandam$ S.;.


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EE910 Rene:+*e Ener3 S%ure'(E*e$e)

Anstruction : # Periods ? Wee%


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,r%3en Ener36 Antroduction$ =ydrogen as a source of renewable energy$ Production of =ydrogen$ =ydrogen powered !ehicles " storages$ =ydrogen as a fuel and safety issues.

"%-G+' Ener3: Antroduction$ Photo synthesis$ )erobic " )naerobic processes$ 3lassification of

Dio&as plants$ >ocation of Dio&as plant$ Si-e of Dio&as plant$ Diomass gasification$ Power

&eneration from >i,uid Waste$ Diomass Energy Program in A;


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;$7 ee$ r% $7e ++,e e+r 2014-2015

EE 9108 Re*+*$ M%,e*n3 n P%:er S'$e'

(E*e$e)

Anstruction : # Periods ? wee%


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E!aluation techni,ues$ Sensiti!ity analysis$ otal loss of continuity'>O3($ Partial loss of 3ontinuity'P>O3($ P>O3 criteria$ Extended load$


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EE 910 P%:er u+*$ En3neern3

(E*e$e)Anstruction : # Periods ? wee%


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Tex$ "%%=

1. 3.San%aran$ FPower CualityI$ 3@3 Press.

Su33e'$e, Re+,n36

1. 8ath =.G. Dollen$ FUnderstanding Power @uality Problems# $ AEEE Press.

2. @oger 3.


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EE 9110 Ener3 M+n+3een$



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Su33e'$e, Re+,n36

1. H.B.Sharma$ P.Ben%ataseshaiah: Energy 8anagement and 3onser!ation AH Anternational

Publishing =ouse P!t. >td.

2. urner W.3.: Energy 8anagement =andboo%.


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EE 9111 A,+ne, Mr%/r%e''%r S'$e'



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Su33e'$e, "%%='6

1. ).H. @ay " H.8. Dhurchandi$$ F)d!anced 8icroprocessors " Peripherals$ )rchitecture$

Programming " AnterfacingI$ ata 8c&raw =ill.

2.


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EE 9112 D3$+* C%n$r%* S'$e'


$transforms! System representation in state space form and analy3e

stability! controllability! observability aspects.

• Study the design methodology of &iscrete time control systems through conventional methods.

• Understand the importance of pole placement and design of state feedbac" controllers.

• Understand the concepts and features of adaptive controls and State Estimation through 9alman

filters

fter completion of this course! the student will be able to:

• cquire "nowledge cquire "nowledge on >$transforms! and represent system in state space formto analy3e stability! controllability! observability aspects

• cquire "nowledge to design discrete time control systems through conventional methods

• 2ave "nowledge of pole placement and design of state feedbac" controllers

• cquire "nowledge of daptive controls and State Estimation through 9alman filter

#NIT I

Ree: % ?-Tr+n'%r'6 Antroduction$ >inear difference e,uations$ Pulse response$ transforms$ heorems of ransforms$ An!erse transforms$ 8odified ransforms$

ransform method for sol!ing difference e,uations$ Pulse transforms function$ Dloc% diagram

analysis of sampled data systems$ 8apping between splane and -plan$ Primary strips and

3omplementary Strips.

#NIT II

S$+$e S/+e An+*'' 6 State Space @epresentation of discrete time systems$ Pulse ransfer

9unction$ 8atrix sol!ing discrete time state space e,uations$ State transition matrix and itIs

Properties$ 8ethods for 3omputation of State ransition 8atrix$ ead>ag compensators and digital PA< controllers$


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S$+$e Fee,+= C%n$r%**er' +n, O'erer'(D're$e)6 inear Cuadratic

@egulators$ Halman filters$ State estimation through Halman filters$ Antroduction to adapti!e

controls.

Tex$ "%%=6

1. H. Ogata $ F

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ME-Syllabus With Pos