Multi-Objective Dynamic Economic Dispatch of Microgrid Systems Including Vehicle-to-Grid

Energies

Yu Ji¹  Haitao Liu¹  Huaidong Zhuang²  Hongbin Wu² 

[1] China Electric Power Research Institute, Haidian District, Beijing 100192, China;School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China;

关键词: microgrid;    dynamic economic dispatch;    electric vehicles;    judgment matrix method;    particle swarm optimization;    load fluctuation;   

DOI  :  10.3390/en8054476

来源: DOAJ

【 摘 要 】

Based on the characteristics of electric vehicles (EVs), this paper establishes the load models of EVs under the autonomous charging mode and the coordinated charging and discharging mode. Integrating the EVs into a microgrid system which includes wind turbines (WTs), photovoltaic arrays (PVs), diesel engines (DEs), fuel cells (FCs) and a storage battery (BS), this paper establishes multi-objective economic dispatch models of a microgrid, including the lowest operating cost, the least carbon dioxide emissions, and the lowest pollutant treatment cost. After converting the multi-objective functions to a single objective function by using the judgment matrix method, we analyze the dynamic economic dispatch of the microgrid system including vehicle-to-grid (V2G) with an improved particle swarm optimization algorithm under different operation control strategies. With the example system, the proposed models and strategies are verified and analyzed. Simulation results show that the microgrid system with EVs under the coordinated charging and discharging mode has better operation economics than the autonomous charging mode. Meanwhile,the greater the load fluctuation is, the higher the operating cost of the microgrid system is.

【 授权许可】

Unknown