Reactive Power Optimization of Distribution Network with Wind Power Based on Chaotic Parallel Differential Evolution Algorithm

doi:10.3969/j.issn.1000-7229.2014.11.001

Abstract

Abstract:

After the wind power generators are connected to the distribution network, traditional reactive power optimization model no longer applies as a result of its intermittent and random output. Therefore, the scenario analysis method was adopted to deal with the output power of the doubly fed induction generator （DFIG）, and the scenario model was established for reactive power optimization of distribution network with DFIG. Considering the flexible reactive power regulation capability of DFIG, a model for fuzzy reactive power optimization was presented with a comprehensive objective function of reducing the network loss and restricting node voltage variations of distribution network. The location of reactive power compensation device for distribution network was determined by Monte Carlo simulation. Chaotic parallel differential evolution algorithm with feedback （CPDEF） was used to solve the reactive power optimization of distribution network with DFIG. Finally, the IEEE 33-bus system was used as a test case to simulate the proposed optimization model of reactive power. Simulation results show that the active power loss of distribution network is reduced significantly, and its voltage profile is improved. It also proves that the proposed method is feasible and effective.

Key words: distribution network, reactive power optimization, doubly fed induction generator （DFIG）, scenario analysis, Monte Carlo simulation, chaotic parallel differential evolution algorithm with feedback （CPDEF）

HE Jian， DING Xiaoqun， CHEN Guangyu， ZHANG Hang， DENG Jixiang. Reactive Power Optimization of Distribution Network with Wind Power Based on Chaotic Parallel Differential Evolution Algorithm[J]. ELECTRIC POWER CONSTRUCTION, 2014, 35(11): 1-6.

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