Evolutionary computation based reactive power optimization

IET Seminar Digest

Volumn 2007, Issue 2, 2007, Pages 120-125

  Durairaj, S ^a   Fox, B ^a  

^a QUEEN'S UNIVERSITY BELFAST   (United Kingdom)

Author keywords

Genetic algorithm; Line loss; Particle swarm optimization; Reactive power optimization

Indexed keywords

BUS SYSTEMS; CAPACITOR BANK; CAPITAL INVESTMENT; CONTROL VARIABLE; ELECTRIC POWER UTILITIES; EVOLUTIONARY COMPUTATION TECHNIQUES; EVOLUTIONARY COMPUTATIONS; EXISTING METHOD; FUEL COST; HIGH QUALITY; LINE LOSS; PARTICLE SWARM OPTIMIZATION ALGORITHM; POWER FACTORS; POWER SYSTEMS; REACTIVE POWER OPTIMIZATION; REACTIVE POWER PLANNING; REAL POWER LOSS; RELIABLE OPERATION; VAR COMPENSATION;

ALGORITHMS; CAPACITORS; ECONOMICS; ELECTRIC POTENTIAL; ELECTRIC POWER FACTOR; ELECTRIC POWER TRANSMISSION NETWORKS; INVESTMENTS; PARTICLE SWARM OPTIMIZATION (PSO); POWER QUALITY; POWER TRANSMISSION;

REACTIVE POWER;

EID: 67650444587     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1049/ic:20070597     Document Type: Conference Paper

References (10)

1. Lee, K.Y., Park, Y.M. and Ortiz, J.L. "A united approach to optimal real and reactive power dispatch", IEEE Trans. on Power Apparatus and Systems, PAS-104, 1985, pp. 1147-153.
2. Liu, C.C. and Tomsovic, K. "An Expert system assisting decision making of VQ control", IEEE Trans. on Power Systems, Vol. 1, No. 3, 1986, pp. 195-201.
3. Iba, K. "Reactive power optimization by genetic algorithms", IEEE Trans. on Power Systems, Vol. 9, No. 2, 1994, pp. 685-692.
4. Wu, Q.H. and Ma J.T. "Power system optimal reactive power dispatch using evolutionary programming", IEEE Trans. on Power Systems, Vol. 10, No. 3, 1995, pp. 1243-1248.
5. Lee, K.Y. and Yang, F.F. "Optimal reactive planning using evolutionary algorithms: a comparative study for evolutionary programming, evolutionary strategy, genetic algorithm and linear programming", IEEE Trans. On Power Systems, Vol. 13, No. 1, 1998, pp. 101-108.
6. Zhang, W and Liu, Y. "Reactive power optimization based on PSO in a practical power system", IEEE Power Engineering Society General meeting, Vols. 1 and 2, 2004, pp. 239-243.
7. Zhao, C., Guo, C. X. and Cao, Y.J. "A multiagent - based particle swarm optimization approach for optimal RPD", IEEE Trans. on Power Systems, Vol. 20, No. 2, 2005, pp. 1070-1078.
8. Lai, L.L., Nieh, T.Y., Vujatovic, D., Ma, Y.N., Lu, Y.P., Yang, Y.W. and Braun, H. "Swarm intelligence for optimal reactive power dispatch", 2005 IEEE/PES Transmission and Distribution Conference & Exhibition: Asia and Pacific, Dalian, China, pp. 1-5.
9. Bhagwan Das, D. and Patvardhan , C. "A new hybrid evolutionary strategy for reactive power dispatch", Electric Power Systems Research, 65, 2003, pp. 83 - 90.
10. Goldberg, D.E. "Genetic algorithms in search optimization and machine learning", Addison Wesley: Reading, MA, 1989.