Uncertain optimization of wind-photovoltaic-liquid air energy storage cluster based on cooperative game in day-ahead market

YAN Cai-xin; QIU Zhi-feng; WANG Chun-sheng

doi:10.7641/CTA.2022.10668

Abstract：The spatial-temporal complementarity of wind-photovoltaic power generation can be realized in the wind-photovoltaic energy storage cluster,and the system fluctuation through energy storage can be stabilized,which make the cluster to be integrated into grid increasingly.However,there are many challenges about the reliable and economic operation of clusters,due to the fluctuation from wind-photovoltaic power energy inside cluster as well as the uncertainty of market prices and load demand outside cluster.To this end,a wind-photovoltaic-liquid air energy storage cluster optimization method based on the cooperative game considering multi-uncertainty is proposed in this paper.Firstly,by designing a cluster allocation model based on the cooperative game,the various cooperation modes and income distribution strategies between cluster participants are designed,and afterwards rationality of the model is discussed.Secondly,based on the information gap decision theory(IGDT),the optimization operation models for two type cluster market operators,i.e.,risk aversion vs.opportunity seeking,are established,taking full consideration of the risk constraints of wind energy,photovoltaic energy,day-ahead market electricity price and load uncertainty.Finally,the simulation results show that the cluster model based on the cooperative game improves the total and individual income of the cluster,compared with the cluster independent operation.The proposed optimal power purchase and energy scheduling strategies,which can adapt to the two preferences,takes into account the robustness and economy,and provides a reference for cluster operators to manage cluster energy.