{"title":"Optimal planning of mobile energy storage in active distribution network","authors":"Shiwei Xia, Zizheng Wang, Xiang Gao, Wenpei Li","doi":"10.1049/stg2.12139","DOIUrl":null,"url":null,"abstract":"<p>Mobile energy storage (MES) has the flexibility to temporally and spatially shift energy, and the optimal configuration of MES shall significantly improve the active distribution network (ADN) operation economy and renewables consumption. In this study, an optimal planning model of MES is established for ADN with a goal of minimising the annual cost of a distribution system. Firstly, the annual cost of a distribution system is set up with consideration of the investment cost and operation cost of MES, wind and PV curtailment cost, network loss cost and the peak-valley arbitrage income of MES. Then, the distributed photovoltaic and wind power access constraints, power conservation constraints of ADN, power generation constraint, system security constraint, energy coupling and displacement constraints of MES are further tailored to establish the MES planning model. Afterwards, the proposed model is solved by the second-order cone relaxation combined with the large <i>M</i> algorithm. Finally, the simulation results of the modified IEEE 33-bus distribution network validate the effectiveness of the proposed model.</p>","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.12139","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Smart Grid","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/stg2.12139","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Mobile energy storage (MES) has the flexibility to temporally and spatially shift energy, and the optimal configuration of MES shall significantly improve the active distribution network (ADN) operation economy and renewables consumption. In this study, an optimal planning model of MES is established for ADN with a goal of minimising the annual cost of a distribution system. Firstly, the annual cost of a distribution system is set up with consideration of the investment cost and operation cost of MES, wind and PV curtailment cost, network loss cost and the peak-valley arbitrage income of MES. Then, the distributed photovoltaic and wind power access constraints, power conservation constraints of ADN, power generation constraint, system security constraint, energy coupling and displacement constraints of MES are further tailored to establish the MES planning model. Afterwards, the proposed model is solved by the second-order cone relaxation combined with the large M algorithm. Finally, the simulation results of the modified IEEE 33-bus distribution network validate the effectiveness of the proposed model.
移动储能(MES)可以灵活地在时间和空间上转移能量,MES 的优化配置将显著改善主动配电网(ADN)的运行经济性和可再生能源消耗。本研究以配电系统年成本最小化为目标,为主动配电网建立了 MES 的优化规划模型。首先,考虑 MES 的投资成本和运营成本、风电和光伏发电削减成本、网络损耗成本以及 MES 的峰谷套利收入,建立配电系统的年度成本。然后,进一步考虑分布式光伏和风电接入约束、ADN 的节电约束、MES 的发电约束、系统安全约束、能量耦合和位移约束,建立 MES 规划模型。随后,利用二阶锥松弛结合大 M 算法对所提出的模型进行求解。最后,修改后的 IEEE 33 总线配电网络的仿真结果验证了所提模型的有效性。