Multi-Objective Fuzzy Optimization for Reactive Power of Distribution Network Based on Immune Particle Swarm Optimization Algorithm

doi:10.11930/j.issn.1004-9649.201702017

Abstract

Abstract: Considering the influence of intermittent and randomness of distributed energy on the voltage of distribution network, the fuzzy power is used to characterize the fluctuation of distributed power output and load power. The multi-objective fuzzy and reactive power optimization model of distribution network is proposed in this paper. Besides, the coordinated optimization method is introduced for the output reactive power of distributed generations and reactive power compensation devices. By taking the minimum loss of power network and the smallest voltage deviation as objective function, the objective function and the constraint conditions are fuzzified, and the fuzzy fitness function is formed according to the membership function. Then, the multi-objective optimization problem is transformed into the single objective optimization by the maximum satisfaction method. Finally, the immune particle swarm optimization algorithm is used to determine the optimal value of the output reactive power of the distributed generations with different fuzzy output levels and the reactive power compensation device with different operating modes under fuzzy fluctuations of the load powers. By taking the IEEE33 distribution system as an example, the feasibility and validity of the proposed model and algorithm are verified.

Key words: distribution networks, multi-objective fuzzy optimization of reactive power, distributed generation, immune particle swarm optimization algorithm

CLC Number:

TM721

SITU You, WU Jiekang, GUO Qingyuan, WU Changyuan, WANG Zhengqing, XU Honghai. Multi-Objective Fuzzy Optimization for Reactive Power of Distribution Network Based on Immune Particle Swarm Optimization Algorithm[J]. Electric Power, 2018, 51(2): 90-98.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.201702017

https://www.electricpower.com.cn/EN/Y2018/V51/I2/90

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