风-光-火-抽蓄联合系统中抽水蓄能电站最佳容量配置

针对含风电、光伏、火电和抽蓄联合系统中抽水蓄能电站的容量配置问题,构建了联合系统双层规划模型,并提出了求解流程。上层模型以弃风、弃光电量之和最小为目标,确定抽水蓄能电站的容量配置问题,下层模型旨在最大化联合系统的经济效益、环境价值,同时改善系统运行条件,解决抽水蓄能电站的运行调度问题,上下层目标采用基于Tent映射混沌优化的改进灰狼算法进行求解。通过对某地区冬季和夏季2个典型日场景进行仿真分析,验证了模型与算法的有效性,结果表明,所构建的双层规划模型对科学确定联合系统中抽水蓄能电站的容量是有效的,并在满足运行调度优化的条件下,能够改善系统运行条件,实现经济效益与环境价值最大化的预期目标。

Optimal Capacity Configuration of Pumped-Storage Power Station in Wind-PV-Fire-Pump Storage System

Aiming at the capacity allocation of pumped-storage power stations in the association system of wind power, photovoltaic, thermal power and pumped storage, a bi-level programming of association system model is constructed and a solve loop is proposed. The upper-level model takes the minimum total curtailment of photovoltaic and wind power as the goal to determine the capacity allocation of the pumped-storage power station. The lower-level model aims to maximize the economic and environmental benefits of the association system, while improving the operating conditions of the system and solving the operation scheduling problem of pumped-storage power stations. The targets of the upper and lower-level are solved by the improved grey wolf optimizer (GWO) based on chaos optimization of Tent map. The effectiveness of the model and algorithm is verified by simulation analysis of two typical daily scenes in a certain area in winter and summer. The results show that the constructed bi-level programming model is effective for scientifically determining the capacity of pumped-storage power stations in the association system. And under the condition of satisfying the optimization of operation scheduling, it can improve the operating conditions of the system and realize the expected goal of maximizing economic and environmental benefits.