Duan Jiao Li, Ming Ma, Li Hua Yuan,Yong Liu, Chun Yi Huang
Niche theory, differential evolution algorithm, particle swarm optimization (PSO), reactive power optimization
Reactive power optimization of distribution network is a nonlinear integer programming method, which can reduce network losses by adjusting turns ratio of transformers and changing the generator terminal voltage and link capacitor compensator to change the reactive power of network. Suitable reactive power compensation can reduce the system losses and guarantee the power system to operate stably, safely and economically. Among different reactive power optimization algorithms, differential evolution algorithm is an intelligent evolutionary method with fast convergence rate and high convergence precision. This paper further introduced niche idea to the differential evolution algorithm, thereby enhancing the local search capability and broadening the search range. At the same time, the rate and precision of convergence had been also improved. At last, this paper had also made comparative analysis with several other algorithms that has relatively good results on reactive power optimization, so as to confirm the advantage of improved niche differential evolution algorithm.
Cite this paper
Duan Jiao Li, Ming Ma, Li Hua Yuan,Yong Liu, Chun Yi Huang. (2016) The Application of Improved Niche Differential Evolution Algorithm in Reactive Power Optimization of Power System. International Journal of Power Systems, 1, 53-58