{"title":"考虑充换蓄一体化电站的交直流混合配电网供电能力评价","authors":"H. Yuan","doi":"10.1049/icp.2021.2584","DOIUrl":null,"url":null,"abstract":"With the development of DC distribution technology, electric vehicles and renewable energy will be more efficient access to the grid. In this paper, a model of power supply capability evaluation is proposed, which takes the electric vehicle chargingswapping-storage integrated station and AC/DC hybrid distribution network into account. Firstly, the battery charging station model is built based on the driving behavior characteristics of electric vehicle fast charging users, and then the model of battery swapping station is established combined with urban road traffic model. Finally, the model of electric vehicle charging-swapping-storage integrated station is completed by combining the model of energy storage station. In the AC/DC hybrid distribution network with wind turbine, photovoltaic and integrated station, a power supply capability evaluation model is established. The model is a nonlinear nonconvex mixed integer programming problem, which could be transformed into a mixed integer second-order cone convex optimization problem. The model could be efficiently solved by commercial solver by using linearization and second-order cone relaxation techniques. Taking the modified IEEE33 test system as an example, the effectiveness and rationality of the proposed model are verified by combining with the actual road traffic situation in a certain area.","PeriodicalId":242596,"journal":{"name":"2021 Annual Meeting of CSEE Study Committee of HVDC and Power Electronics (HVDC 2021)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Power supply capability evaluation of AC/DC hybrid distribution network considering charging-swapping-storage integrated station\",\"authors\":\"H. Yuan\",\"doi\":\"10.1049/icp.2021.2584\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the development of DC distribution technology, electric vehicles and renewable energy will be more efficient access to the grid. In this paper, a model of power supply capability evaluation is proposed, which takes the electric vehicle chargingswapping-storage integrated station and AC/DC hybrid distribution network into account. Firstly, the battery charging station model is built based on the driving behavior characteristics of electric vehicle fast charging users, and then the model of battery swapping station is established combined with urban road traffic model. Finally, the model of electric vehicle charging-swapping-storage integrated station is completed by combining the model of energy storage station. In the AC/DC hybrid distribution network with wind turbine, photovoltaic and integrated station, a power supply capability evaluation model is established. The model is a nonlinear nonconvex mixed integer programming problem, which could be transformed into a mixed integer second-order cone convex optimization problem. The model could be efficiently solved by commercial solver by using linearization and second-order cone relaxation techniques. Taking the modified IEEE33 test system as an example, the effectiveness and rationality of the proposed model are verified by combining with the actual road traffic situation in a certain area.\",\"PeriodicalId\":242596,\"journal\":{\"name\":\"2021 Annual Meeting of CSEE Study Committee of HVDC and Power Electronics (HVDC 2021)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 Annual Meeting of CSEE Study Committee of HVDC and Power Electronics (HVDC 2021)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1049/icp.2021.2584\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Annual Meeting of CSEE Study Committee of HVDC and Power Electronics (HVDC 2021)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1049/icp.2021.2584","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Power supply capability evaluation of AC/DC hybrid distribution network considering charging-swapping-storage integrated station
With the development of DC distribution technology, electric vehicles and renewable energy will be more efficient access to the grid. In this paper, a model of power supply capability evaluation is proposed, which takes the electric vehicle chargingswapping-storage integrated station and AC/DC hybrid distribution network into account. Firstly, the battery charging station model is built based on the driving behavior characteristics of electric vehicle fast charging users, and then the model of battery swapping station is established combined with urban road traffic model. Finally, the model of electric vehicle charging-swapping-storage integrated station is completed by combining the model of energy storage station. In the AC/DC hybrid distribution network with wind turbine, photovoltaic and integrated station, a power supply capability evaluation model is established. The model is a nonlinear nonconvex mixed integer programming problem, which could be transformed into a mixed integer second-order cone convex optimization problem. The model could be efficiently solved by commercial solver by using linearization and second-order cone relaxation techniques. Taking the modified IEEE33 test system as an example, the effectiveness and rationality of the proposed model are verified by combining with the actual road traffic situation in a certain area.