Reactive Power Optimization of Distribution System Integrated with Wind Power under Multiple Load Levels

doi:10.11930/j.issn.1004-9649.2017.03.137.06

Abstract

Abstract: Due to the random feature of wind power, the access of large numbers of wind turbines brings high uncertainties to the reactive power optimization of distribution network. In order to improve the adaptability of reactive power optimization to the wind turbines, this paper proposes a new model for multi-objective reactive power optimization of distribution systems integrated with wind power based on scenario analysis under multiple load levels. Two indexes, including net savings and nodes voltage deviation, are synthetically considered in the model. Through fuzzing of the two indexes, the maximum fuzzy satisfaction index method is used to transform the multi-objective optimization problem into a single objective problem, which is then solved by the adaptive genetic algorithm. By using a 33-bus testing system as an example, the capacitor switching, power loss, node voltage and net savings are analyzed with the proposed algorithm under different scenarios and three load levels, including maximum load, normal and minimum load. The case study shows that the proposed model and method can effectively improve the voltage profile of distribution system and significantly reduce the power loss, and can be applied to the reactive power optimization of distribution system integrated with wind power generators under multiple load levels.

Key words: distribution power system, reactive power compensation, wind power generation, multiple load levels, fuzzy modeling, adaptive genetic algorithm

CLC Number:

TM727.1

JIANG Fengli, ZHANG Xin, WANG Jun, PIAO Zailin. Reactive Power Optimization of Distribution System Integrated with Wind Power under Multiple Load Levels[J]. Electric Power, 2017, 50(3): 137-142.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.2017.03.137.06

https://www.electricpower.com.cn/EN/Y2017/V50/I3/137

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