考虑多类型水电协调的风光电站容量优化配置方法

为减少风光出力波动性造成的弃风、弃光,利用梯级水电和抽水蓄能等不同类型水电之间的调蓄特性,提出一种多类型水电协调参与风光消纳的联合运行策略。考虑多类型水电站出力、水库库容和联络线传输功率等约束,以风光电站投资建设成本、系统运行维护成本及购电成本最小和风光发电占负荷需求比例最大为目标,建立一种多类型水电协调的风光电站容量优化配置模型,采用基于极限学习机的粒子群算法(ELM-PSO)对模型进行求解。以青海某地区为例,通过仿真分析,得出综合考虑系统经济性和风光发电占负荷需求比例最优的容量配置方案,验证了所提策略和所建模型的可行性及有效性。

Optimal capacity configuration method of wind-solar power station considering the coordination of multi-type hydropower

In order to reduce wind and solar power abandon caused by fluctuation of their output, this paper proposes a combined operation strategy that multi-type hydropower stations participate in wind-solar energy consumption by utilizing the regulation and storage characteristics between cascade hydropower, pumped storage and other types of hydropower. Considering the constraints of multi-type hydropower stations, reservoir capacity and transmission capacity of tie-lines, an optimal capacity configuration model of wind-solar power station coordinated by multi-type hydropower is established aiming at the minimum investment and construction cost, system operation and maintenance cost and power purchase cost and the maximum ratio of wind-solar power generation to load demand. The Extreme Learning Machine based Particle Swarm Optimization algorithm (ELM-PSO) is used to solve the model. Taking an area of Qinghai province as an example, the optimal capacity configuration scheme considering the system economy and the proportion of wind-solar power generation to load demand is obtained through simulation analysis, which verifies the feasibility and effectiveness of the proposed strategy. This work is supported by National Natural Science Foundation of China (No. 71420107027), Science and Technology Projects of Hunan Province (No. 2017CT5015 and No. 2017WK2053), Postgraduate Scientific Research Innovation Project of Hunan Province (No. CX2017B465 and No. CX2018B525), and Strategic Emerging Industries Project in Hunan Province (No. 2018GK4002).