GENETIC ALGORITHM BASED SHORT-TERM SCDEDULING OF REACTIVE POWER CONTROLLERS

This paper presents a genetic algorithm-based approach for short–term scheduling of reactive power controllers. The objective of this paper is to determine the proper settings of the control devices (capacitor banks and transformer taps) for the next 24 hours, which minimizing the active power losses without exceeding the allowed number of movements of the control devices per day, and maintaining satisfactory voltage profile under various loading conditions. A genetic algorithm (GA) approach is proposed in this paper. The GA algorithm is applied into two levels, at the first level, GA is implemented to determine the optimal reactive power dispatch (optimal settings of control devices) for each operating hour in the day, and then at the second level, GA is implemented again to find the final optimal reactive power dispatch for the whole day. The proposed method was applied to a modified IEEE 30-bus system to show the feasibility and the capability of the proposed method, the experiment was carried out and the results are presented in this paper.

Keywords:

short-term scheduling, reactive power controllers, genetic algorithm,

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J. J. Paserba, D. J. Leonard, N.W. Miller, S. T. Naumann, M. G. Lauby, and F. P. Senser, "Coordination of a distribution level continuously controlled compensation device with existing substation equipment for long term VAR management", IEEE Transactions on Power Systems, Vol: 9, pp.1034–1040, 1994.
E. Baran and M. Y. Hsu, "Vot/Var control at distribution substations", IEEE Transactions on Power Systems, Vol: 14, pp. 312–318, 1999 .
F. C. Lu and Y. Y. Hsu, "Reactive power/voltage control in a distribution substation using dynamic programming", Proc. Inst. Elect. Eng. Gener. Transm. Distrib,Vol: 142, pp. 639– , 1995.
Y. Y. Hsu and H. C. Kuo, "Dispatch of capacitors on distribution system using dynamic programming", Proc. Inst. Elect. Eng., pt. C, Vol: 140, pp. 433–438, 1993.
K. Y. Lee, Y. M. Park and J. L. Ortiz. "A United Approach to Optimal Real and Reactive Power Dispatch", IEEE Transaction on Power Apparatus and Systems,Vol:104, pp.1147-1153,
J. A. Momoh, M. E. El-Hawary and R. Adapa, "A Review of Selected Optimal Power Flow Literature to 1993 Part II", IEEE
Transactions on Power Systems, Vol: 14, No: 1, pp. 96-111 , 1999.
S. J. Cheng, O. P. Malik and G. S. Hope, "An Expert Systems for Voltage and Reactive Power Control of a Power System" IEEE Transactions on Power Systems, Vol: 3, No: 4, pp. 1449-1455, 1988.
D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, 1989.
D. A.Coley, "An Introduction to Genetic Algorithms for Scientists and Engineers", World Scientific Publishing Co., 1999.
V. Miranda, D. Srinivasan and L. Proenca, "Evolutionary Computation in Power Systems", Electrical Power and Energy Systems, Vol: 20, No: 2, pp. 89-98, 1998.
H. Yoshida K. Kawata Y. Fukuyama and Y. Nakanishi, "A Particle Swarm Optimization for Reactive Power and Voltage Control Considering Voltage Stability", Proceedings of the 1999 Intelligent Systems Application to
Power Systems (ISAP.99), Rio de Janeiro (Brazil) , pp. 117-121,April 4-8, 1999.
K. Iba, "Reactive Power Optimization by Genetic Algorithm", IEEE Transactions on Mechanism for Power System Reactive Power / Power Systems, Vol: 9, No: 2, pp. 685-692, Voltage Control", Power Engineering Society G. A. Bakare, U. O. Aliyu and G. Krost, "Computational Enhancement of Genetic Algorithm via Control Device Pre-Selection General Meeting Vol: 3, pp. 1698-1703,13- July,2003.