{"title":"由光伏系统和电动汽车充电站组成的直流微电网多目标优化调度","authors":"Xinyi Lu, Nian Liu, Qifang Chen, Jianhua Zhang","doi":"10.1109/ISGT-ASIA.2014.6873840","DOIUrl":null,"url":null,"abstract":"Integration of PV system and EV charging station is a typical way of spot utilization of renewable resources. Research on multi-objective optimal scheduling of a DC micro-grid consisted of PV system and EV charging station is proposed in this paper. Based on the structure of the DC micro-grid and function of each component, mathematical model of the multi-objective optimization for scheduling, which takes the cost of electricity purchasing and energy circulation of storage batteries as objective functions, is built and then solved with NSGA-II. Constraints including EVs' charging time, the range of the charging/discharging power and SOC (state of charge) of the storage batteries, power supply rate of the distribution network and system power balance are considered in this model. A certain case is studied and verifies the model's rationality. Compared with an instant charging plan, the optimal scheme is superior in reducing cost and energy circulation.","PeriodicalId":444960,"journal":{"name":"2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA)","volume":"227 13","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"37","resultStr":"{\"title\":\"Multi-objective optimal scheduling of a DC micro-grid consisted of PV system and EV charging station\",\"authors\":\"Xinyi Lu, Nian Liu, Qifang Chen, Jianhua Zhang\",\"doi\":\"10.1109/ISGT-ASIA.2014.6873840\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Integration of PV system and EV charging station is a typical way of spot utilization of renewable resources. Research on multi-objective optimal scheduling of a DC micro-grid consisted of PV system and EV charging station is proposed in this paper. Based on the structure of the DC micro-grid and function of each component, mathematical model of the multi-objective optimization for scheduling, which takes the cost of electricity purchasing and energy circulation of storage batteries as objective functions, is built and then solved with NSGA-II. Constraints including EVs' charging time, the range of the charging/discharging power and SOC (state of charge) of the storage batteries, power supply rate of the distribution network and system power balance are considered in this model. A certain case is studied and verifies the model's rationality. Compared with an instant charging plan, the optimal scheme is superior in reducing cost and energy circulation.\",\"PeriodicalId\":444960,\"journal\":{\"name\":\"2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA)\",\"volume\":\"227 13\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"37\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISGT-ASIA.2014.6873840\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISGT-ASIA.2014.6873840","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-objective optimal scheduling of a DC micro-grid consisted of PV system and EV charging station
Integration of PV system and EV charging station is a typical way of spot utilization of renewable resources. Research on multi-objective optimal scheduling of a DC micro-grid consisted of PV system and EV charging station is proposed in this paper. Based on the structure of the DC micro-grid and function of each component, mathematical model of the multi-objective optimization for scheduling, which takes the cost of electricity purchasing and energy circulation of storage batteries as objective functions, is built and then solved with NSGA-II. Constraints including EVs' charging time, the range of the charging/discharging power and SOC (state of charge) of the storage batteries, power supply rate of the distribution network and system power balance are considered in this model. A certain case is studied and verifies the model's rationality. Compared with an instant charging plan, the optimal scheme is superior in reducing cost and energy circulation.