含光热电站的源–储协调优化调度方法
Source-Storage Coordination Optimal Scheduling Method with Concentrating Solar Power

随着大规模新能源的并网发电，其运行特性给电网调度带来了极大的挑战，新能源发电受阻问题愈加严重。与此同时，光热电站及大容量储能的快速发展，显著提高了系统调峰能力，为解决新能源消纳问题提供了良好的条件。为提升电网对新能源的消纳能力，本文提出一种含光热电站的源–储协调优化调度方法。首先分析了含储热光热电站的工作原理及电化学储能电站的运行特性；其次揭示了光热电站及储能电站协调消纳新能源的作用机理；然后建立了以新能源消纳最大及系统运行成本最小为目标的源–储协调调度优化模型，并通过改进的粒子群算法进行求解；最后通过算例仿真计算，验证了所提源–储协调优化调度方法对提高新能源消纳水平及降低系统运行成本的有效性。
As large-scale new energy sources are integrated into the grid, their operational characteristics pose a significant challenge to the grid’s dispatch. The problem of blocked new energy generation is becoming more serious. At the same time, the rapid development of concentrating solar power station and large-capacity energy storage power station have significantly improved the system’s peaking capacity, providing good conditions for solving the problem of new energy consumption. This paper proposes a coordinated source-storage optimal dispatching method with concentrating solar power to improve the grid’s ability to consume new energy. Firstly, the working principle of concentrating solar power with thermal storage and the operating characteristics of electrochemical energy storage power station are analyzed; secondly, the mechanism of coordinating new energy consumption by concentrating solar power and energy storage power station is revealed; then, a source-storage coordinated scheduling optimization model to maximize new energy consumption and minimizing system operating costs is established and solved by an improved particle swarm optimization; finally, the effectiveness of the proposed method in improving the level of new energy consumption and reducing the system operation cost is confirmed through simulation.