{"title":"A Configuration Planning Method of Mobile Energy Storage in Various Scenarios","authors":"Hongzhou Chen, Jizhong Zhu, Xiaofu Xiong, Jian Wang, Wei Wang, Junjie Cheng","doi":"10.1109/CEEPE55110.2022.9783288","DOIUrl":null,"url":null,"abstract":"Energy storage technology already has the potential advantages of being mobile, modular, and \"plug and play\". The results of existing energy storage planning of the Distribution Network (DN) are energy storage configurations with fixed access points and capacity. There is still a lot of room for the flexibility and value of energy. With many renewable energies distributed generation (DG) connected to the distribution network, it can be divided into different operating scenarios according to the seasonality of distributed power and loads in the distribution network. This paper proposes a Mobile Energy Storage (MES) configuration planning method of the DN. Through this method, the MES devices are dynamically allocated between different operating scenarios of the DN regarding the varying load demands as well as DG outputs. The access points, capacities and operation modes of MES devices in various scenarios are taken as the decision variables, the maximum comprehensive economic benefit brought by MES is taken as the objective, and thus the mixed-integer second-order cone programming(MISOCP) model for MES configuration is constructed. Case studies are performed in the modified IEEE 33-node distribution systems. The feasibility and effectiveness of the proposed method are verified The proposed method can be treated as a useful expansion to the flexible operation of energy storage device, through which the MES can well service for various operating scenarios of the DN and thus its value can be fully developed.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEEPE55110.2022.9783288","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Energy storage technology already has the potential advantages of being mobile, modular, and "plug and play". The results of existing energy storage planning of the Distribution Network (DN) are energy storage configurations with fixed access points and capacity. There is still a lot of room for the flexibility and value of energy. With many renewable energies distributed generation (DG) connected to the distribution network, it can be divided into different operating scenarios according to the seasonality of distributed power and loads in the distribution network. This paper proposes a Mobile Energy Storage (MES) configuration planning method of the DN. Through this method, the MES devices are dynamically allocated between different operating scenarios of the DN regarding the varying load demands as well as DG outputs. The access points, capacities and operation modes of MES devices in various scenarios are taken as the decision variables, the maximum comprehensive economic benefit brought by MES is taken as the objective, and thus the mixed-integer second-order cone programming(MISOCP) model for MES configuration is constructed. Case studies are performed in the modified IEEE 33-node distribution systems. The feasibility and effectiveness of the proposed method are verified The proposed method can be treated as a useful expansion to the flexible operation of energy storage device, through which the MES can well service for various operating scenarios of the DN and thus its value can be fully developed.