抽水蓄能机组导叶关闭策略优化方法研究  

Research on optimization method of pumped-storage units guide vane closing law

作　　者：周建中[1] 武越越 许颜贺 郑阳[1] Zhou Jianzhong;Wu Yueyue;Xu Yanhe;Zheng Yang(School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, Chin)

机构地区：[1]华中科技大学水电与数字化工程学院,湖北武汉430074

出　　处：《华中科技大学学报（自然科学版）》2017年第12期123-127,共5页Journal of Huazhong University of Science and Technology(Natural Science Edition)

基　　金：国家重点研发计划资助项目(2016YFC0402205;2016YFC0401910);国家自然科学基金资助项目(51079057);国网新源公司科技项目(JXHP-YJB-JSFW[2017]80号)

摘　　要：为了解决水电站大波动过渡过程运行安全问题,综合考虑蜗壳水击压力极值和转速上升极值两个目标,建立了抽水蓄能机组导叶关闭策略多目标优化模型,提出了基于改进多目标引力搜索算法(IMOGSA)的抽水蓄能机组导叶关闭策略优化方法.利用该方法得到包含蜗壳水击压力极值和转速上升峰值的帕累托非劣解集,采用模糊满意度评价法在帕累托非劣解集中选出兼容性最好的解,并与多目标粒子群算法进行对比,结果表明利用IMOGSA优选的导叶关闭策略能有效提高对抽水蓄能机组水泵断电工况的控制水平.To solve the operation safety problem of hydropower station large fluctuation,a multi-objective optimization simulation model was established considering the two indexes of volute pressure maximum and the rising speed maximum,and a method was proposed to optimize the guide vane closing law of the pump storage units based on the improved multi-objective gravitational search algorithm（IMOGSA）.Using this method,the Pareto non-inferior solution set including the maximum of volute pressure and speed rise was obtained,then the fuzzy satisfaction evaluation method was used to select the best solution in Pareto non-inferior solution set.After that,the optimized results of IMOGSA and MOPSO（multi-objective particle swarm optimization）were compared.Experimental results show that the proposed method using the IMOGSA to optimize the gate vane closing law can improve the level of control for extreme work conditions effectively.

关 键 词：抽水蓄能水电站 导叶关闭策略优化 多目标引力搜索算法 水泵断电 模糊评价法 

分 类 号：TV743[水利工程—水利水电工程]