Distribution Network Service Restoration Based on Rank Preference Optimal and Load Shedding
Wang Zengping1, Yao Yuhai1, Guo Kunya2, Qi Zheng1
1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing 102206 China; 2. State Grid Liaoning Eletric Power Co., Ltd. Shenyang Power Supply Company Shenyang 110811 China
Abstract Evaluation method is essential for the swarm intelligence algorithm and determines the global optimal solution. In this paper, rank preference optimal was introduced to evaluate the individual of the population, which can get the obvious differences among alternatives by improving in attribute ordinal number. Regarding the traditional swarm intelligence algorithm is difficult to deal with the problem that the load cannot be recovered completely, this paper proposed a load shedding strategy to ensure each individual of the group is feasible in the point of electricity. In order to reduce the effect of load shedding on algorithm efficiency, repetitive power flow was introduced to calculate the power supply capability before executing the algorithm. Finally the analysis results show that the proposed method can effectively solve the problem of distribution network service restoration and has practical value.
Wang Zengping,Yao Yuhai,Guo Kunya等. Distribution Network Service Restoration Based on Rank Preference Optimal and Load Shedding[J]. Transactions of China Electrotechnical Society, 2015, 30(20): 185-192.
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2015, Vol. 30 
