{"DOI":"10.1007/s42452-020-04130-x","abstract":"AbstractWind power's uncertainty is from the intermittency and fluctuation of wind speed, which brings a great challenge to solving the power system's dynamic economic dispatch problem. With the wind-storage combined system, this paper proposes a dynamic economic dispatch model considering AC optimal power flow based on Conditional Value-at-Risk ($$CVaR$$\n \n CVaR\n \n ). Since the proposed model is hard to solve, we use the big-M method and second-order cone description technique to transform it into a trackable mixed-integer second-order conic programming (MISOCP) model. By comparing the dispatching cost of the IEEE 30-bus system and the IEEE 118-bus system at different confidence levels, it is indicated that $$CVaR$$\n \n CVaR\n \n method can adequately estimate dispatching risk and assist decision-makers in making reasonable dispatching schedules according to their risk tolerance. Meanwhile, the optimal operational energy storage capacity and initial/final energy storage state can be determined by analyzing the dispatching cost risk under different storage capacities and initial/final states.","author":[{"family":"Zheng","given":"Yi"},{"family":"Bai","given":"Xiaoqing"}],"id":"unknown","issued":{"date-parts":[[2021,1,18]]},"language":"en","publisher":"Springer Science and Business Media LLC","title":"Dynamic economic dispatch of wind-storage combined system based on conditional value-at-risk","type":"article-journal"}