Optimization Strategy of Microgrid Hierarchical Scheduling Considering Electric Vehicles User Satisfaction Degree
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 ut...
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| Format: | Article |
| Language: | zho |
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State Grid Energy Research Institute
2020-12-01
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| Series: | Zhongguo dianli |
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| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202005079 |
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| author | Huiqun YU Shen YIN Hao ZHANG Shanshan SHI Daogang PENG Guoshun CAI |
| author_facet | Huiqun YU Shen YIN Hao ZHANG Shanshan SHI Daogang PENG Guoshun CAI |
| author_sort | Huiqun YU |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-c0f474a03b5b40469351ddb6b2a6d69d |
| institution | DOAJ |
| issn | 1004-9649 |
| language | zho |
| publishDate | 2020-12-01 |
| publisher | State Grid Energy Research Institute |
| record_format | Article |
| series | Zhongguo dianli |
| spelling | doaj-art-c0f474a03b5b40469351ddb6b2a6d69d2025-08-20T02:52:42ZzhoState Grid Energy Research InstituteZhongguo dianli1004-96492020-12-015312839110.11930/j.issn.1004-9649.202005079zgdl-53-10-yuhuiqunOptimization Strategy of Microgrid Hierarchical Scheduling Considering Electric Vehicles User Satisfaction DegreeHuiqun YU0Shen YIN1Hao ZHANG2Shanshan SHI3Daogang PENG4Guoshun CAI5School of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, ChinaSchool of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, ChinaSchool of Electronic and Information Engineering, Tongji University, Shanghai 201804,ChinaState Grid Shanghai Electric Power Company Electric Power Research Institute, Shanghai 200437, ChinaSchool of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, ChinaSchool of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, ChinaIn 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.https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202005079electric vehicleuser satisfaction degreemicrogridhierarchical optimization scheduling strategyimproved ant lion algorithm |
| spellingShingle | Huiqun YU Shen YIN Hao ZHANG Shanshan SHI Daogang PENG Guoshun CAI Optimization Strategy of Microgrid Hierarchical Scheduling Considering Electric Vehicles User Satisfaction Degree Zhongguo dianli electric vehicle user satisfaction degree microgrid hierarchical optimization scheduling strategy improved ant lion algorithm |
| title | Optimization Strategy of Microgrid Hierarchical Scheduling Considering Electric Vehicles User Satisfaction Degree |
| title_full | Optimization Strategy of Microgrid Hierarchical Scheduling Considering Electric Vehicles User Satisfaction Degree |
| title_fullStr | Optimization Strategy of Microgrid Hierarchical Scheduling Considering Electric Vehicles User Satisfaction Degree |
| title_full_unstemmed | Optimization Strategy of Microgrid Hierarchical Scheduling Considering Electric Vehicles User Satisfaction Degree |
| title_short | Optimization Strategy of Microgrid Hierarchical Scheduling Considering Electric Vehicles User Satisfaction Degree |
| title_sort | optimization strategy of microgrid hierarchical scheduling considering electric vehicles user satisfaction degree |
| topic | electric vehicle user satisfaction degree microgrid hierarchical optimization scheduling strategy improved ant lion algorithm |
| url | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202005079 |
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