Exact approach for charging of PEVs with V2G capability to improve micro-grid reliability

作     者：Shams, Hamed Sadeghfam, Amin Rostami, Naghi Tohidi, Sajjad 

作者机构：Univ Tabriz Fac Elect & Comp Engn Tabriz Iran 

出 版 物：《IET GENERATION TRANSMISSION & DISTRIBUTION》 (IET发电，输电与配电)

年 卷 期：2019年第13卷第16期

页      面：3690-3695页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 

基　　金：New York State Energy Research and Development Authority 

主　　题：power grids distributed power generation power generation scheduling probability battery powered vehicles nonlinear programming integer programming power generation dispatch power generation reliability wind turbines electric vehicle charging microgrid reliability transportation systems electric vehicles additional electrical power demand electric grid reliability charging station microgrids total system operation cost grid capability PEV charging V2G capability 

摘      要：Nowadays, the major proportion of fossil fuels is consumed in the transportation systems. Plug-in electric vehicles (PEVs) can play a significant role in reducing the petrol consumption. A large amount of additional electrical power demand needed for the charging of PEVs may adversely affect the electric grid reliability. Using the charging station in the micro-grids (MGs) to minimise the total system operation cost in the presence of PEVs with vehicle to grid (V2G) capability is becoming vitally important. In this work, a practical model for charging strategy of PEVs based on typical charge and discharge profiles given by the battery producers is considered. The problem is constrained by the loss of load probability index of reliability. The proposed strategy makes it possible to handle the generation shortage due to the outage of conventional units and intermittency of wind turbine units. Mixed Integer Non-linear programming is used for the optimal planning of MG in the presence of PEVs. Results show that an appropriate charge and discharge strategy may lead to a significant improvement in the reliability of the considered MG as well as a reduction in the operational cost of the total system.