多场景下梯级水-光-蓄容量配置与优化运行研究

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

摘要:

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５ＭＷ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%。

Abstract:

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%.