基于动态离散电价协约的风电-抽蓄联合日运行优化研究

Joint Daily Operational Optimization of Wind Power and Pumped-storage Based on Dynamic Discrete Price Agreement

鉴于风电场和抽水蓄能电站联合运行是电网提高风电消纳能力的有效方式,提出了风电-抽蓄联合与电网签订并网电量和多种动态离散成交价格的协约交易方式,建立了风电-抽蓄联合系统经济效益最大化为目标的调度模型,利用改进粒子群算法求解模型,得到联合系统的最优运行调度计划,分析协约条件对联合系统运行和收益的影响,进而通过实例仿真几种风电场典型日场景。结果表明,所提运行模式有助于减小弃风;降低基本并网功率、增大并网功率范围,可增加联合系统的收益。

It is effective for grid to improve the wind power consumption ability by jointing operation of wind farm and pumped-storage power station. A transaction mode is proposed, which the combined system of wind power and pumped-storage signs an agreement with the grid considering grid-connected electric quantity and a variety of dynamic discrete bargain prices. A scheduling model is established to achieve the maximal economic benefit for the combined system. And then, the model is solved by using the improved particle swarm optimization algorithm to obtain the scheduling plan of combined system at each period and analyzing the influence of agreement conditions on operation and income of the combined system. Simulation results of several typical days of wind farm validated that the proposed operation mode is helpful to reduce the abandoned wind. The example shows that the benefits of the combined system can be increased by reducing the basic grid-connected power and increasing the grid-connected power range.