Optimization Strategy of Microgrid Hierarchical Scheduling Considering Electric Vehicles User Satisfaction Degree

doi:10.11930/j.issn.1004-9649.202005079

Abstract

Abstract: In this paper, a hierarchical scheduling optimization strategy considering electric vehicle user satisfaction degree is proposed for electric vehicle cluster in residential microgrid. Microgrid scheduling optimization process can be divided into load layer and source storage layer. The load layer utilizes the energy storage characteristics of electric vehicles to smooth the peak of the original load in the microgrid under the premise of ensuring user satisfaction of electric vehicles. Renewable energy is used to support the load of the microgrid in the source storage layer, and the excess part is absorbed by the dispatchable electric vehicle, which makes the comprehensive cost of the microgrid minimized. The improved ant lion algorithm is used to solve the model of the source storage layer. Lastly, verify through an example. The result shows that the strategy greatly improves the economics and reliability of microgrid compared with the disordered charge of electric vehicles. Meanwhile, the satisfaction degree of electric vehicle user is improved.

Key words: electric vehicle, user satisfaction degree, microgrid, hierarchical optimization scheduling strategy, improved ant lion algorithm

YU Huiqun, YIN Shen, ZHANG Hao, SHI Shanshan, PENG Daogang, CAI Guoshun. Optimization Strategy of Microgrid Hierarchical Scheduling Considering Electric Vehicles User Satisfaction Degree[J]. Electric Power, 2020, 53(12): 83-91.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202005079

https://www.electricpower.com.cn/EN/Y2020/V53/I12/83

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