Research on Electric Vehicles Considering V2G Technology in Photovoltaic Residential Areas

• Published in: IOP conference series. Materials Science and Engineering Vol. 787; no. 1; pp. 12032 - 12037
• Main Authors: Ma, Shanting, Su, Haifeng, Yu, Yibing
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.03.2020
• Subjects: Algorithms; Electric power distribution; Electric vehicles; Electrical loads; Particle swarm optimization; Photovoltaic cells; Residential areas; Residential communities; Vehicle-to-grid
• ISSN: 1757-8981; 1757-899X
• DOI: 10.1088/1757-899X/787/1/012032

With the emergence of global energy crisis, electric vehicles and photovoltaic power generation have been widely used as an effective way. However, the connection of large-scale electric vehicles and the uncertainty of photovoltaic power generation also do harm to the operation of the power distribution system. In order to solve the problem that electrical load of resident varies big between peak and valley caused by disordered charging of electric vehicles, this paper constructed a cooperative scheduling model for V2G electric vehicles and photovoltaic power generation. Taking residential community as research background, this paper try to solve the SOC threshold of electric vehicle discharge by reducing the grid load variance and the objective function. The reasonable SOC threshold is optimized by the improved particle swarm optimization algorithm, and the reasonable SOC threshold can be compared and analyzed to reduce the load variance value more effectively. Finally, the paper takes one residential area as an example to prove the rationality and practicality of the proposed model.