Fuzzy Optimization of Distribution Network Reconfiguration Considering Uncertainty

doi:10.11930/j.issn.1004-9649.2014.2.156.4

Abstract

Abstract: There is uncertainty in load changes of actual distribution network leading to the difficulty of describing the distribution network reconfiguration in traditional models. This paper has built a fuzzy multi-objective distribution network reconfiguration model with the features of optimization of power supply quality and the minimization of network loss, which is based on the fuzzy speciality of the load change and used the quantum evolutionary algorithm(QEA) to find the best result in this model. By this way, it has improved the economy and power supply quality of the distribution network. The back/forward sweep method is used for getting the fuzzy interval of fitness function and balance the good points against the bad points by comparing the fuzzy interval, which is decided by the evaluation function of interval. The effectiveness of the method is verified through the simulation results of IEEE 33-node system with distributed generations.

Key words: distribution network reconfiguration, fuzzy speciality, evaluation function of interval, multi-objective function, quantum evolutionary algorithm

CLC Number:

TM715

WANG Hai-chao, ZHOU Ling, DING Xiao-qun, LU Chen. Fuzzy Optimization of Distribution Network Reconfiguration Considering Uncertainty[J]. Electric Power, 2014, 47(2): 156-160.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.2014.2.156.4

https://www.electricpower.com.cn/EN/Y2014/V47/I2/156

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