水电站事故切机条件下的闸门应急控制策略研究  

Study on Emergency Control Strategy of Gates under Accident Tripping Condition of Hydropower Station

作　　者：王利英[1,2] 张佳杰 曹庆皎 汪广明[3] 王孝群 WANG Liying;ZHANG Jiajie;CAO Qingjiao;WANG Guangming;WANG Xiaoqun(School of Water Conservancy and Hydropower Engineering,Hebei University of Engineering,Handan 056038,Hebei,China;Key Laboratory of Intelligent Water Resources of Hebei Province,Handan 056038,Hebei,China;CHN Energy Dadu River Shaping Power Generation Co.,Ltd.,Leshan 614300,Sichuan,China)

机构地区：[1]河北工程大学水利水电学院,河北邯郸056038 [2]河北省智慧水利重点实验室,河北邯郸056038 [3]国能大渡河沙坪发电有限公司,四川乐山614300

出　　处：《水力发电》2022年第9期92-97,共6页Water Power

基　　金：国家自然科学基金面上项目(11972144、12072098);河北省自然科学基金资助项目(E2018402092)。

摘　　要：以沙坪二级水电站为例,针对电站事故切机时的剩余库容与反应时间进行研究,计算了事故切机时极限反应时间和极限运行水位,提出了最佳水位运行范围和闸门应急控制策略。采用穷举法筛选和微粒群算法对理想情况下最优闸门开度进行了研究,结果表明,在取值相对较小的范围内,穷举法计算结果相对准确且迭代并不复杂,而微粒群算法的参数较少,易于编程实现,收敛速度快。采用微粒群算法计算了实际情况下最优闸门开度,计算结果表明,设计的闸门动作策略表可有效地实现电站在遭遇事故切机时的库水位精准控制,且计算过程并不复杂。Taking Shaping II Hydropower Station as an example,the remaining reservoir storage capacity and the reaction time of the power station under accident tripping condition are studied,the reaction time limit and the operating water level limit are calculated,and the optimal operating water level range and the emergency control strategy of gates are proposed.The optimal gate openings under ideal condition are studied by using exhaustive method and particle swarm optimization(PSO)respectively,and the results show that,in a relatively small range,the calculation result of exhaustive method is relatively accurate and the iteration is not complicated,while the PSO has fewer parameters,is easy to program,and has a fast convergence speed.The PSO is used to calculate the optimal gate openings in the actual situation,and the calculation results show that the designed gate action strategy sheet can effectively realize the precise control of reservoir water level under the condition of accident generator tripping,and the calculation process is not complicated.

关 键 词：事故切机 闸门水位控制 闸门动作策略表 闸门开度 穷举法 微粒群算法 沙坪二级水电站 

分 类 号：TV663[水利工程—水利水电工程] TV271