多场景下梯级水-光-蓄容量配置与优化运行研究
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国家重点研发项目(2018YFB0905200);国家自然科学基金项目(51909133,51907099)


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

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  • 在线发布日期: 2021-07-02
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