抽水蓄能机组导叶关闭策略优化方法研究

发布时间：2018-04-25 20:45

本文选题：抽水蓄能水电站 + 导叶关闭策略优化　；参考：《华中科技大学学报(自然科学版)》2017年12期

【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.
[Abstract]:In order to solve the problem of operation safety in the large fluctuation transition process of hydropower station, a multi-objective optimization model for guide vane closure strategy of pumped storage unit is established by considering two objectives: the maximum value of volute water hammer pressure and the maximum value of speed rise. Based on the improved multi-objective gravity search algorithm (IMOGSA), an optimization method for guide vane closure strategy of pumped storage units is proposed. By using this method, the Pareto noninferior solution set, which includes the maximum value of volute water hammer pressure and the peak value of speed rise, is obtained. The fuzzy satisfaction evaluation method is used to select the most compatible solution in the Pareto non-inferior solution set, and the results are compared with the multi-objective particle swarm optimization algorithm. The results show that the control level of pump power off condition of pumped storage unit can be effectively improved by using IMOGSA optimal guide vane closing strategy.
【作者单位】：华中科技大学水电与数字化工程学院;
【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)
【分类号】：TV743

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