Journal of South China University of Technology (Natural Science Edition) ›› 2017, Vol. 45 ›› Issue (10): 78-86.doi: 10.3969/j.issn.1000-565X.2017.10.011

• Power & Electrical Engineering • Previous Articles     Next Articles

Security-Constrained Unit Commitment Model with Wind Power and Electric Vehicles

ZHAO Qiang1,2 LIU Hai-yong1 WANG Jin-kuan1 HAN Ying-hua1,3   

  1. 1.College of Information Science and Engineering,Northeastern University,Shenyang 110819,Liaoning,China; 2.School of Control Engineering,Northeastern University at Qinhuangdao,Qinhuangdao 066004,Hebei,China; 3.School of Computer and Communication Engineering,Northeastern University at Qinhuangdao，Qinhuangdao 066004,Hebei,China
  • Received:2016-12-07 Revised:2017-03-13 Online:2017-10-25 Published:2017-09-01
  • Contact: 赵强(1981-)，男，博士生，主要从事电力系统分析及优化调度方面的研究． E-mail:zhaoqiang@neuq.edu.cn
  • About author:赵强(1981-)，男，博士生，主要从事电力系统分析及优化调度方面的研究．
  • Supported by:
    Supported by the National Natural Science Foundation of China(61374097) and the National Key Ｒesearch and Development Program of China(2016YFB0901905)

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Abstract: In view of the impact of the large-scale access of wind power and electric vehicles on power grids,a multi-objective security-constrained unit commitment model based on the co-scheduling of the wind power and the electric vehicles (EVs) is constructed by taking the lowest operating cost and the lowest pollution emission as the objectives.In the model,by regarding a charging and discharging electric vehicle as an optimal scheduling unit,a virtual electricity pricing strategy is established to make a reasonable charge and discharge plan with the goal of minimizing the charge cost.Then,a fuzzy chance-constrained program is used to describe the intermittency and uncertainty of the wind power,and the vehicle-to-gird (V2G) method is adopted to stabilize the wind power fluc- tuation and reduce the adjusting frequency of the unit,thus improving the economy of the power grids in a safe ope- ration.Simulation results demonstrate that the constructed model can utilize the complementarity between various factors to promote the utilization of the wind power and thus achieve better economic and environmental benefits.

Key words: electric vehicle, unit commitment, virtual electricity price, wind power, fuzzy chance constraint