多场景下梯级水-光-蓄容量配置与优化运行研究

四川省小金县地势东北高、西南低,且光照、水资源丰富,有利于修建梯级水-光-蓄互补电站,但是水-光-蓄的容量配置将极大地影响系统经济性。计及光伏分钟级尺度下出力波动性强,提出了在分钟级多场景下新的梯级水-光-蓄容量规划方法。从提高互补电站的经济效益与外送稳定性等角度,首先,建立投资最小与外送波动最小的梯级水-光-蓄互补电站容量配置与优化运行双层规划数学模型;其次,详细描述了基于粒子群与序列二次规划算法的双层规划算法模型求解方法与执行步骤;最后,在多场景下对双层规划模型的准确性和合理性进行了分析。分析表明,配置5 MW抽水蓄能机组能够使得梯级水-光-蓄互补系统具有最大投资效益比,且缓解外送功率波动高达11.7%。

Research on Capacity Allocation and Optimized Operation of Cascaded Hydropower-Photovoltaic-Pumped Hydro Storage Hybrid System Under Multi-scenario

Xiaojin county in Sichuan province is high in the northeast and low in the southwest, and is rich in light and water resource, which is conducive to the construction of a cascaded hydropower-photovoltaic-pumped hydro storage (HP-PV-PHS) complementary power plant. However, the HP-PV-PHS capacity ratio greatly affects the complementary benefits. Because PV output fluctuates frequently and the time scale is small, the multi-scenario cascaded HP-PV-PHS capacity allocation and optimized operation under the minutes time scale is proposed. From the view of improving the economic benefits and delivery stability of the complementary system, firstly, a bi-level mathematical model for capacity allocation and optimized operation of a cascaded HP-PV-PHS with minimal investment cost and minimal power fluctuation in delivery is established. Secondly, the method and execution steps of the bi-level programming model based on particle swarm optimization and sequential quadratic programming algorithm (PSO-SQP) are described in detail. Finally, the accuracy and reasonability of the bi-level programming model is analyzed in multiple scenarios. The case study reveals that 5 MW PHS can make the cascaded HP-PV-PHS complementary system have a maximum investment benefit ratio and mitigate the power fluctuation on tie-line by up to 11.7%.