首页|基于SSA的抽水蓄能电站技术供水系统泵阀优化调度研究

基于SSA的抽水蓄能电站技术供水系统泵阀优化调度研究

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在"双碳"政策背景下,对于抽水蓄能电站在运维方面节能减排提出了新要求.为实现抽水蓄能电站技术供水系统的节能目标,提出了一种基于麻雀搜索算法(SSA)的以技术供水管网稳态模型为适应度计算的泵阀优化调度模型,并结合某抽水蓄能电站的实际运行数据,调控优化其中占比最大的用水设备(发电机空气冷却器)水量上升 10%的工况.结果显示,采用泵阀优化控制后,对比未采用方式可节约水量 103 m3/h,节约能耗 32.5 kW,实现节能率为 14.1%,节水率为 7.8%.在一定程度上验证了该优化调度模型在节能方面的可行性,为抽水蓄能电站技术供水系统在节水节电方面提供了经验.
Optimal Scheduling of Pump Valves for Pumped Storage Power Plant Technical Water Supply System Based on SSA
Under the background of"double carbon"policy,new requirements are put forward for energy saving and emission reduction in operation and maintenance of pumped storage power stations.In order to realize the energy saving target of technical water supply system of pumped storage power stations,this paper proposes a pump-valve optimal scheduling model based on the Sparrow Search Algorithm(SSA)with the steady-state model of the technical water sup-ply network as the adaptive calculation.Based on actual operation data of a pumped storage power station,the control and optimization of the working condition in which the water consumption of the equipment with the largest proportion of wa-ter consumption(the generator air cooler)rises by 10%is carried out.The results show that the optimized control of pump valves can save 103 m3/h of water and 32.5 kw of energy compared with the unused method,achieving an energy saving rate of 14.1%and a water saving rate of 7.8%.To a certain extent,it verifies the feasibility of the optimal sched-uling model in energy saving,which provides experience for the technical water supply system of pumped storage power plant in water and electricity saving.

technical water supply systemsparrow search algorithmoptimal schedulingenergy saving

吴加强、潘虹、郑源、杨佳

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河海大学能源与电气学院, 江苏 南京 210098

南瑞集团有限公司(国网电力科学研究院有限公司), 江苏 南京 211106

技术供水系统 麻雀搜索算法 优化调度 节能

国家自然科学基金重点项目

52339006

2024

水电能源科学
中国水力发电工程学会 华中科技大学 武汉国测三联水电设备有限公司

水电能源科学

CSTPCD北大核心
影响因子:0.525
ISSN:1000-7709
年,卷(期):2024.42(3)
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