{"title":"考虑不同运营策略的电动汽车停车概率最优布局","authors":"M. R. Aghaebrahimi, M. M. Ghasemipour, A. Sedghi","doi":"10.1109/MELCON.2014.6820516","DOIUrl":null,"url":null,"abstract":"In near future, electrification of transportation fleet will become an important solution to reduce environmental pollution. By employing various strategies for electric vehicle operation, electric vehicle parking lots (EVP) play two roles as the load and the energy generating source for distribution networks. So, the location of these parking lots is very important for the distribution companies from the losses and network voltage points of view. Power characteristic of electric vehicle parking lots has a non-deterministic and probabilistic nature. On the other hand, the power injected by them could shift peak load hours of the system. So, the optimal placement of EVP based on the peak load of the system would not result in actual solution of the problem. In this paper, the effect of different electric vehicle operating strategies on placement of administrative and residential parking lots, losses and distribution network's voltage has been investigated. The optimal placement of EVP has been carried out based on probabilistic load and generation models of parking lots and a proper approximation of annual hourly load. A novel hybrid method, based on cuckoo's optimization algorithm and sequential Monte Carlo simulation, has been used for optimization.","PeriodicalId":103316,"journal":{"name":"MELECON 2014 - 2014 17th IEEE Mediterranean Electrotechnical Conference","volume":"4 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"Probabilistic optimal placement of EV parking considering different operation strategies\",\"authors\":\"M. R. Aghaebrahimi, M. M. Ghasemipour, A. Sedghi\",\"doi\":\"10.1109/MELCON.2014.6820516\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In near future, electrification of transportation fleet will become an important solution to reduce environmental pollution. By employing various strategies for electric vehicle operation, electric vehicle parking lots (EVP) play two roles as the load and the energy generating source for distribution networks. So, the location of these parking lots is very important for the distribution companies from the losses and network voltage points of view. Power characteristic of electric vehicle parking lots has a non-deterministic and probabilistic nature. On the other hand, the power injected by them could shift peak load hours of the system. So, the optimal placement of EVP based on the peak load of the system would not result in actual solution of the problem. In this paper, the effect of different electric vehicle operating strategies on placement of administrative and residential parking lots, losses and distribution network's voltage has been investigated. The optimal placement of EVP has been carried out based on probabilistic load and generation models of parking lots and a proper approximation of annual hourly load. A novel hybrid method, based on cuckoo's optimization algorithm and sequential Monte Carlo simulation, has been used for optimization.\",\"PeriodicalId\":103316,\"journal\":{\"name\":\"MELECON 2014 - 2014 17th IEEE Mediterranean Electrotechnical Conference\",\"volume\":\"4 3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-04-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"MELECON 2014 - 2014 17th IEEE Mediterranean Electrotechnical Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MELCON.2014.6820516\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"MELECON 2014 - 2014 17th IEEE Mediterranean Electrotechnical Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MELCON.2014.6820516","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Probabilistic optimal placement of EV parking considering different operation strategies
In near future, electrification of transportation fleet will become an important solution to reduce environmental pollution. By employing various strategies for electric vehicle operation, electric vehicle parking lots (EVP) play two roles as the load and the energy generating source for distribution networks. So, the location of these parking lots is very important for the distribution companies from the losses and network voltage points of view. Power characteristic of electric vehicle parking lots has a non-deterministic and probabilistic nature. On the other hand, the power injected by them could shift peak load hours of the system. So, the optimal placement of EVP based on the peak load of the system would not result in actual solution of the problem. In this paper, the effect of different electric vehicle operating strategies on placement of administrative and residential parking lots, losses and distribution network's voltage has been investigated. The optimal placement of EVP has been carried out based on probabilistic load and generation models of parking lots and a proper approximation of annual hourly load. A novel hybrid method, based on cuckoo's optimization algorithm and sequential Monte Carlo simulation, has been used for optimization.