Computer Science

Computer Science ›› 2018, Vol. 45 ›› Issue (11A): 92-96.

• Intelligent Computing • Previous Articles     Next Articles

Research of V2G Strategies for EV Parking Lot Based on Improved PSO

SHAO Wei-hui1, XU Wei-sheng1, XU Zhi-yu1, WANG Ning1, NONG Jing2   

  1. College of Electronic and Information Engineering,Tongji University,Shanghai 201804,China1
    Power Grid Planning and Research Center of Guizhou Power Grid Co.,Ltd.,Guiyang 550003,China2
  • Online:2019-02-26 Published:2019-02-26

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Abstract: Electric vehicle parking lot is built nearby commercial office buildings for electric vehicles charging and par-king to solve a series of problems broughtby large-scale grid-connected electric vehicles.A V2G based electric vehicle parking lot model (V2G_EVPL) was proposed to describe charging and discharging behaviors of electric vehicles in the parking lot based on vehicle to grid (V2G) technology.Under the conditions of the real-time pricing (RTP),V2G_EVPL dynamically schedules the electric vehicle charging or discharging,and then interacts with the grid for energy.Improved particle swarm optimization (IPSO) algorithm is applied to solve the optimal scheduling for electric vehicles.Improvements,such as feasibility coding,adaptive search radius and boundary variability correction,are made to improve the efficiency and the convergence accuracy of PSO.Real-time price data of PJM and the parameters of mainstream electric vehicles are used in simulation.The operation process and results of V2G_EVPL under three different scenarios are compared and analyzed.Results of the simulations show that the proposed model is reasonable and the improved PSO algorithm is both efficient and effective.

Key words: Charge and discharge strategy, Electric vehicle parking lot, PSO, Real-time pricing, V2G

CLC Number: 

  • TP734
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