Multi-objective day-ahead optimization of distribution system considering low Carbon and demand response with EV cluster
In the context of low-carbon economy, a large-scale integration of electric vehicles (EVs) to the power grid will increase the burden of the grid, with conflicts of interest for the distribution system operator, the EV aggregator and the EV users increased. In order to meet the interests of various...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-04-01
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| Series: | International Journal of Electrical Power & Energy Systems |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061525000444 |
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| author | Peng Gao Zhuofu Deng Xianglong Qi Guofeng Yao Xin Wang Yang Gao |
| author_facet | Peng Gao Zhuofu Deng Xianglong Qi Guofeng Yao Xin Wang Yang Gao |
| author_sort | Peng Gao |
| collection | DOAJ |
| description | In the context of low-carbon economy, a large-scale integration of electric vehicles (EVs) to the power grid will increase the burden of the grid, with conflicts of interest for the distribution system operator, the EV aggregator and the EV users increased. In order to meet the interests of various stakeholders in the distribution system and to promote low carbon, this paper presents a multi-objective day-ahead optimization strategy considering low carbon and demand response with EV cluster. At first, to improve the traditional charging and discharging model of EV, this paper proposes a charging and discharging model of EV cluster using Minkowski Sum that reduces the variables’ complexity. In addition, based on demand response, a multi-objective model with three stakeholders, distribution system operator, EV aggregator and EV users, is constructed to satisfy all their interests. The model is constructed considering renewable energy, dynamic Time-of-use (TOU) pricing mechanism for charging/discharging and carbon trading. This paper uses a fuzzy optimization method to transform the multi-objective model into a single-objective model, then SLSQP algorithm is used to solve the single-objective model. The results show that the model and solution proposed in this paper can effectively promote the interaction between EVs and the power grid, reduce the burden of the power grid, improve the utilization rate of renewable energy, meet the interests of users, achieve a balance of interests of the distribution system operator, EV aggregator and EV users, and reduce the carbon emission of the system. |
| format | Article |
| id | doaj-art-221e6ab28f934c89b249203b8299deed |
| institution | Kabale University |
| issn | 0142-0615 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Electrical Power & Energy Systems |
| spelling | doaj-art-221e6ab28f934c89b249203b8299deed2025-02-06T05:10:56ZengElsevierInternational Journal of Electrical Power & Energy Systems0142-06152025-04-01165110493Multi-objective day-ahead optimization of distribution system considering low Carbon and demand response with EV clusterPeng Gao0Zhuofu Deng1Xianglong Qi2Guofeng Yao3Xin Wang4Yang Gao5Software College of Northeastern University, Shengyang City, Liaoning Province, ChinaSoftware College of Northeastern University, Shengyang City, Liaoning Province, China; Corresponding author.Liaoning Ruizhi Juhe Technology Co., Ltd., Building No. 186-4, Zhihui 3rd Street, Hunnan District, Shenyang City, Liaoning Province, ChinaChina Electric Power Research Institute, No. 15 Qinghexiaoying East Road, Haidian District, Beijing, ChinaState Grid Chongqing Electric Power Supply Company, Chongqing, ChinaLiaoning Ruizhi Juhe Technology Co., Ltd., Building No. 186-4, Zhihui 3rd Street, Hunnan District, Shenyang City, Liaoning Province, ChinaIn the context of low-carbon economy, a large-scale integration of electric vehicles (EVs) to the power grid will increase the burden of the grid, with conflicts of interest for the distribution system operator, the EV aggregator and the EV users increased. In order to meet the interests of various stakeholders in the distribution system and to promote low carbon, this paper presents a multi-objective day-ahead optimization strategy considering low carbon and demand response with EV cluster. At first, to improve the traditional charging and discharging model of EV, this paper proposes a charging and discharging model of EV cluster using Minkowski Sum that reduces the variables’ complexity. In addition, based on demand response, a multi-objective model with three stakeholders, distribution system operator, EV aggregator and EV users, is constructed to satisfy all their interests. The model is constructed considering renewable energy, dynamic Time-of-use (TOU) pricing mechanism for charging/discharging and carbon trading. This paper uses a fuzzy optimization method to transform the multi-objective model into a single-objective model, then SLSQP algorithm is used to solve the single-objective model. The results show that the model and solution proposed in this paper can effectively promote the interaction between EVs and the power grid, reduce the burden of the power grid, improve the utilization rate of renewable energy, meet the interests of users, achieve a balance of interests of the distribution system operator, EV aggregator and EV users, and reduce the carbon emission of the system.http://www.sciencedirect.com/science/article/pii/S0142061525000444Electric vehicleDemand responseCarbon tradingVehicle-grid interactionMulti-objective optimization |
| spellingShingle | Peng Gao Zhuofu Deng Xianglong Qi Guofeng Yao Xin Wang Yang Gao Multi-objective day-ahead optimization of distribution system considering low Carbon and demand response with EV cluster International Journal of Electrical Power & Energy Systems Electric vehicle Demand response Carbon trading Vehicle-grid interaction Multi-objective optimization |
| title | Multi-objective day-ahead optimization of distribution system considering low Carbon and demand response with EV cluster |
| title_full | Multi-objective day-ahead optimization of distribution system considering low Carbon and demand response with EV cluster |
| title_fullStr | Multi-objective day-ahead optimization of distribution system considering low Carbon and demand response with EV cluster |
| title_full_unstemmed | Multi-objective day-ahead optimization of distribution system considering low Carbon and demand response with EV cluster |
| title_short | Multi-objective day-ahead optimization of distribution system considering low Carbon and demand response with EV cluster |
| title_sort | multi objective day ahead optimization of distribution system considering low carbon and demand response with ev cluster |
| topic | Electric vehicle Demand response Carbon trading Vehicle-grid interaction Multi-objective optimization |
| url | http://www.sciencedirect.com/science/article/pii/S0142061525000444 |
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