{"title":"基于电动汽车和DER的智能电网潮流优化控制","authors":"M. Georgiev, R. Stanev, A. Krusteva","doi":"10.1109/ELMA.2019.8771575","DOIUrl":null,"url":null,"abstract":"In this article an application for optimization of the energy flows in smart power systems consisting of electric vehicles (EV), distributed energy sources (DER), flexible loads and bidirectional storage is proposed. An optimization model for energy distribution between electric vehicles, electric storage devices and photovoltaic generators is presented. A nonlinear optimization problem with linear constrains for optimizing the power flows in the system is defined and solved. A multi-objective problem is defined in respect to satisfy PV production criteria and to maximize the power flow to the EVs. An algorithm for finding the optimal solution of the multi-objective optimization problem is proposed. The approach is very useful for energy flow control and analyzis of DER behavior. The algorithm proposed for solving multi-objective problem is applicable when a storage and PV generation units are used in the DER system. The advantages of external storage utilization in the distributed systems are shown.","PeriodicalId":304248,"journal":{"name":"2019 16th Conference on Electrical Machines, Drives and Power Systems (ELMA)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Optimized power flow control of smart grids with electric vehicles and DER\",\"authors\":\"M. Georgiev, R. Stanev, A. Krusteva\",\"doi\":\"10.1109/ELMA.2019.8771575\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article an application for optimization of the energy flows in smart power systems consisting of electric vehicles (EV), distributed energy sources (DER), flexible loads and bidirectional storage is proposed. An optimization model for energy distribution between electric vehicles, electric storage devices and photovoltaic generators is presented. A nonlinear optimization problem with linear constrains for optimizing the power flows in the system is defined and solved. A multi-objective problem is defined in respect to satisfy PV production criteria and to maximize the power flow to the EVs. An algorithm for finding the optimal solution of the multi-objective optimization problem is proposed. The approach is very useful for energy flow control and analyzis of DER behavior. The algorithm proposed for solving multi-objective problem is applicable when a storage and PV generation units are used in the DER system. The advantages of external storage utilization in the distributed systems are shown.\",\"PeriodicalId\":304248,\"journal\":{\"name\":\"2019 16th Conference on Electrical Machines, Drives and Power Systems (ELMA)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 16th Conference on Electrical Machines, Drives and Power Systems (ELMA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ELMA.2019.8771575\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 16th Conference on Electrical Machines, Drives and Power Systems (ELMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELMA.2019.8771575","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimized power flow control of smart grids with electric vehicles and DER
In this article an application for optimization of the energy flows in smart power systems consisting of electric vehicles (EV), distributed energy sources (DER), flexible loads and bidirectional storage is proposed. An optimization model for energy distribution between electric vehicles, electric storage devices and photovoltaic generators is presented. A nonlinear optimization problem with linear constrains for optimizing the power flows in the system is defined and solved. A multi-objective problem is defined in respect to satisfy PV production criteria and to maximize the power flow to the EVs. An algorithm for finding the optimal solution of the multi-objective optimization problem is proposed. The approach is very useful for energy flow control and analyzis of DER behavior. The algorithm proposed for solving multi-objective problem is applicable when a storage and PV generation units are used in the DER system. The advantages of external storage utilization in the distributed systems are shown.