Home > Archive>Volume 31, Issue 4, 2017 >501-509. DOI:10.13382/j.jemi.2017.04.002
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Optimization scheduling strategy research on synergistic utilization of electric vehicle batteries and wind power
Author:
Affiliation:

1. Economic & Technology Research Institute, State Grid Shandong Electric Power Company, Jinan 250021, China; 2. Shanghai Key Laboratory of Power Station Automation Technology, School of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200072, China

Clc Number:

TM74；TN711.1

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    Abstract:

    Aiming at the problem of how to collaborate between electric vehicle batteries and wind power to achieve the peak load shifting of load curve, the optimization scheduling strategy of synergistic dispatch between electric vehicle batteries and wind power is mainly investigated in this paper. Firstly, the synergistic dispatch model including electric vehicles, wind power and power load demand is established, and three constraint conditions of the available time, the residual capacity of battery and the chargedischarge power are proposed by considering the characteristics of transportation and power battery of electric vehicles. This optimization model is then solved by the improved particle swarm optimization (PSO) algorithm. Finally, the simulation experiments analyze the factors affecting the synergistic optimization model by considering three kinds of wind power outputs including normal and peakregulation and different wind power penetration and the number of electric cars to participate in power grid interaction, and the effectiveness of the synergistic optimization model to achieve of the peak load shifting is also confirmed.

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  • Online: July 26,2017
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