• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

Electric Power Construction ›› 2017, Vol. 38 ›› Issue (2): 60-.doi: 10.3969/j.issn.1000-7229.2017.02.008

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Planning Model and Algorithm of Microgrid Considering Energy Storage Characteristics of Electric Vehicles#br#

LI Botong1,TANG Kai2   

  1. 1.State Grid Beijing Electric Power Company,Beijing 102600,China;
     2.State Grid Tianjin Electric Power Company,Tianjin 300000,China
  • Online:2017-02-01
  • Supported by:
     

Abstract: To study the influence of electric vehicle on the energy unit planning of microgrid, this paper establishes the electric vehicle-microgrid coordinated planning model, and uses particle swarm optimization-simulated annealing (PSO-SA) mixed algorithm to solve the model, which can obtain the energy unit planning results of microgrid with the optimal goal of economy-environment total cost. The analysis shows that electric vehicle, as a mobile storage device, is able to take the place of stable storage device in some extent. Considering the energy storage characteristics of electric vehicles in the planning of microgrid can help cutting down the cost of system. Meanwhile, the result shows that the algorithm used in this paper has better performance in solving this kind of planning problem over than other similar ones.

Key words: energy internet, electric vehicle, microgrid, particle swarm optimization-simulated annealing , (PSO-SA) mixed algorithm

CLC Number: