考虑合作博弈的风–光–液态空气储能集群日前市场不确定性优化方法研究

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

中文关键词  风光储集群  合作博弈  信息间隙决策理论  不确定优化  能量管理

英文关键词  wind-photovoltaic-energy storage cluster  cooperative game  information gap decision theory  uncertain optimization  energy management

中文摘要

      风光储集群既可以发挥风光发电时空互补性, 同时, 储能又能平抑系统波动, 这些优势使得风光储集群越来越多的集成到电网中. 然而, 集群内风光的波动性, 集群外市场电价、系统负荷的不确定性, 都给集群可靠和经济运行带来了挑战. 针对这些问题, 本文提出了一种考虑多重不确定性, 基于合作博弈的风–光–液态空气储能集群优化方法. 首先, 文章建立了基于合作博弈的集群分配模型, 设计了集群各参与者的多种合作方式和收益分配方案;其次, 针对风、光、日前市场电价以及负荷不确定性风险约束, 本文建立了基于信息间隙决策理论的风险规避型和机会寻求型两类集群运营商的优化运行模型. 最后, 仿真结果表明, 相较于独立运行, 基于合作博弈的集群运行增加了总收益和个体收益. 构建的可适应两种偏好的最优购电及能源调度方案兼顾鲁棒性和经济性, 可为集群运营商进行集群能量管理提供参考依据.

英文摘要

      The spatial-temporal complementarity of wind-photovoltaic power generation can be realized in the windphotovoltaic 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.