广域储能电站定容-选址一体规划

针对储能电站在大规模风电并网电力系统中的容量和选址规划问题，提出广域储能电站定容-选址一体规划方法。首先，针对简单辐射网络与复杂网络，考虑储能四象限运行特性，基于PV曲线法，定量分析论证储能电站容量与位置对系统静态电压稳定和风电消纳能力的影响机理，提出储能电站定容和选址思路；其次，综合考虑系统静态电压稳定、风电消纳能力、网损及储能投资4方面，以风电消纳年收益最大，以及系统静态电压稳定裕度变化率、网损成本、储能电站等年值投资成本最小为目标构建广域储能电站定容-选址一体规划模型，提出嵌入潮流计算及粒子群算法的遗传算法求解模型。以新疆准东大型风电基地为例，验证了所提方法的有效性。

Integrated Planning of Optimal Sizing and Siting of Energy Storage Plants Across Wide Area

Aiming at optimal sizing and siting of energy storage plants in large-scale wind power systems, an integrated planning method was developed to realize the optimal sizing and siting of energy storage plants across wide area. First, based on the four-quadrant operation characteristics of energy storage devices, the effect mechanism of optimal sizing and siting of energy storage plants on static voltage stability and wind energy accommodation, facing simple radiant networks and complex networks, was comprehensively demonstrated by PV curve, and the concept of sizing and siting of energy storage plants was put forward. On this basis, the static voltage stability and wind energy accommodation in the company of network loss and energy storage investment were comprehensively considered. An integrated planning model was developed with annual income of wind power consumption maximal and static voltage stability margin change rate, loss cost and annual investment cost of energy storage plants minimal as the objective. Finally, a Genetic algorithm embedded power flow and particle swarm optimization was designed to solve this model. The validity of the proposed method was verified by the simulation tests carried out on large-scale wind power base in Zhundong, Xinjiang.