Maximization of Profit of a Generation Company In

8/8/2019 Maximization of Profit of a Generation Company In

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MAXIMIZATION OF PROFIT OF AGENERATION COMPANY IN A

DEREGULATED POWER MARKET

UNDER THE GUIDANCE OF P.SIVASANKARI,M.TECH

By

B.MADHAVAREDDY,

REG.NO:1690910017,

M.TECH-POWER SYSTEMS.


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ABSTRACT

An algorithm to solve the profit based unit commitment problem

using PSO technique has been planned to maximize the profit of

GENCO.

When more number of generating units are brought online, more

power is generated and participated in deregulated environment.

The project focuses on the PSO technique to solve the profit based

unit commitment including Generation, Spinning reserve & Non

Spinning reserve as system constraints in the problem formulation.

The algorithm and simulation is planned to carry out usingMATLAB software


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LITERATURE SURVEY

JacobRaglenda,,C.Raghuveerb,G.RakeshAvinashb,N.P.Padhyc,D.P.Kothari,Solution

to profit based unit commitment problem using particle swarm optimization(2010)

H.Y. Yamin , Q. El- Dwairi and S.M. Shahidehpour, (2007) A New Approach For

GENCOs Profit Based Unit Commitment In Day Ahead Competitive Electricity

Markets Considering Reserve Uncertainty. International Journal of Electrical

Power and Energy System.

N.P. Padhy, Unit commitment problem under deregulated environmenta review,

in: Proceedings ofIEEE Power Eng. Soc. General Meeting, 2003.

J. P. S. Catalo, Member, IEEE, S. J. P. S. Mariano, V. M. F. Mendes, and L. A. F. M.

Ferreira,(2007) Profit-Based Unit Commitment with Emission Limitations: A

Multiobjective Approach. D. N. Simopoulos, Y. S. Giannakopoulos, S. D. Kavatza, and C. D. Vournas, Effect of

Emission Constraints on Short-Term Unit Commitment. IEEE MELECON 2006.


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PROBLEM FORMULATION

BASE EQUATION


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EXTENDED EQUATION

Maximize F(i, t) + E

Where,

E =W*EMCAP

EMCAP = ST EMS (P )

i t

i ,t i ,t i ,t


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PSO FLOW CHART


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PBUCP USING PSO


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PROBLEM CONSIDERED


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MATLAB EXECUTION


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RESULTS

out =

1.0e+003 *

0.033029546539245

0.064370457377938

0.054971437908787

1.597719107540027

P =

33.029546539244727

64.370457377938450

54.971437908787145

F =

1.597719107540027e+003

Pl =

2.340918825969118

>>


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FURTHERIMPLEMENTATION

Executing the considered objective function

with constraints for a IEEE 30 Bus system using

PSO tool box PHASE 1.

Using various PSO techniques such as Chaotic

PSO (CPSO), New PSO (NPSO) and Dis- persed

PSO (DPSO) the Objective function is executed

and the results are compared.- PHASE 2.


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REFERENCES

H.Y. Yamin, Q. El-Dwairi, S.M. Shahidehpour, A newapproachfor GENCOsprofitbasedunitcommitmentinday-aheadcompetitiveelectricity marketsconsid- ering reserveuncertainty,InternationalJournalofElectrical Powerand Energy System29 (8) (2007) 609616.

B. Ross, Thegeneralizedunitcommitmentproblem, IEEE Transaction Power Systems 10 (1995)465475.

D.P. Kothari, I.J. Nagrath, Power System Engineering, 2nded., Tata McGraw Hill, New Delhi, 2008.

D.P. Kothari, I.J. Nagrath, Modern Power System Analysis, 3rded., McGraw Hill, New York, 2008. J. Kennedy, R.C. Eberhart, Particle Swarm Optimization, IEEE Proc. on Int. Conf. on Neural

Networks, IV, 19421948, 1995.

N.P. Padhy, Unitcommitmentabibliographicalsurvey, IEEE Transactionon Power Systems 19 (2)(2004) 11961205.

N.P. Padhy, Unitcommitmentproblemunderderegulatedenvironmentareview, in: ProceedingsofIEEE Power Eng. Soc. General Meeting, 2003

D. N. Simopoulos, Y. S. Giannakopoulos, S. D. Kavatza, and C. D. Vournas, EffectofEmissionConstraintson Short-Term Unit Commitment. IEEE MELECON 2006.

J. P. S. Catalo, Member, IEEE, S. J. P. S. Mariano, V. M. F. Mendes, and L. A. F. M. Ferreira,(2007)Profit-Based Unit Commitmentwith Emission Limitations: A Multiobjective Approach

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Maximization of Profit of a Generation Company In