DIANQI YU NENGXIAO GUANLI JISHU ›› 2020, Vol. 588 ›› Issue (3): 104-109.doi: 10.16628/j.cnki.2095-8188.2020.03.018

• Energy Management • Previous Articles    

Power System Risk Avoidance Assessment Model Considering Wind and Solar Forecasting Error

LIU Junchao1, FANG Shaofeng2, ZHANG Qun3, LIAO Shengtao1, NIU Ben1   

  1. 1.School of Electrical and Information Engineering,Changsha University of Science and Technology, Changsha 410004, China;
    2.Hunan Electric Power Design Institute Co.,Ltd.,China Energy Engineering Group, Changsha 410007, China;
    3.China Railway Signal & Communication (Changsha) Metro-Transportation Control Technology Co.,Ltd., Changsha 410000, China
  • Received:2019-12-23 Online:2020-03-30 Published:2020-04-21

Abstract: In order to evaluate the wind and solar power accomodation in power system in a short time accurately,it is necessary to consider the prediction error of wind-solar joint power.Therefore,a probabilistic optimization model considering the wind-solar joint output was proposed,and CVaR was introduced to measure the risk loss of wind/solar curtailment and loss of load caused by uncertainty of wind and solar power.In the model,each wind-solar joint output value corresponds to a distribution probability,which is used to measure the operational risk in the power system.Aiming at maximizing the operational benefit and risk aversion of the system,this paper evaluated the impact of wind/solar forecast errors on the system operation from benefit side and risk side,to obtain the optimal dispatching scheme weighing risks and benefits.Compared with the traditional interval optimization model,the results of the example verify the rationality and effectiveness of the model.

Key words: CVaR, wind and solar prediction error, probability optimization model, risk aversion

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