The optimization of reactive power compensation plays an important role in power system planning and designing. A mathematical model in the 10kV distribution network is established in this paper. Its objective function is the cost of investment in equipment of reactive power compensation and active power loss of the system should be the least. The node voltages beyond limited and the generator reactive power output beyond limited will be expressed in the way of penalty function. In this paper, particle swarm optimization will be used. Using PSO's characteristic of high convergence efficiency, the speed of reactive power optimization will be improved. Using the binary PSO, the algorithm can better adapt to solve the problem. © 2011 Springer-Verlag.
CITATION STYLE
Wang, C., Yao, G., Wang, X., Zheng, Y., Zhou, L., Xu, Q., & Liang, X. (2011). Reactive power optimization based on particle swarm optimization algorithm in 10kV distribution network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6728 LNCS, pp. 157–164). https://doi.org/10.1007/978-3-642-21515-5_19
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