基于NSGA-Ⅲ算法的长距离调水泵站多目标优化调度研究
Research on Multi-objective Optimization Operation of Long-distance Water Pump Station Based on NSGA-Ⅲ Algorithm
王永康 1吕谋 1李源 1冯鹏1
作者信息
- 1. 青岛理工大学环境与市政工程学院,山东 青岛 266500
- 折叠
摘要
针对长距离调水泵站运行过程中水泵运行效率低、安全隐患较大等问题,以调水泵站运行电费最小、水泵平均效率最大、水泵流量平均偏离度最小、水泵平均启停频次最小为目标建立优化模型.以华东某沿海城市调水工程为例,采用第三代非支配排序遗传算法(NSGA-Ⅲ)求解优化模型,运用层次分析法与 CRITIC法进行组合赋权,结合逼近理想解排序法(TOPSIS)进行方案优选.结果表明,相较于常规调度方案,优化调度方案中两泵站的运行电费和水泵流量平均偏离度均显著降低,水泵平均效率均显著提高,水泵平均启停频次均有所减少.表明在综合考虑泵站运行经济性的情况下,所建优化模型能够有效降低安全隐患.
Abstract
In response to the problems of low efficiency and significant safety hazards during the operation of long-dis-tance water pump stations,this article established an optimization model with the goal of minimized the operating electric-ity cost,maximized the average efficiency of water pumps,minimized the average deviation of water pump flow,and minimized the average start and stop frequency of water pump.Taking the water transfer project of a coastal city in East China as an example,the third generation non-dominated sorting genetic algorithm(NSGA-Ⅲ)was used to solve the op-timization model.The Analytic Hierarchy Process(AHP)and CRITIC method were used for combined weighting,and the TOPSIS method was used for scheme optimization.Compared to the conventional scheduling scheme,the results show that the optimal scheduling scheme significantly reduces the operating electricity cost and average deviation degree of water pump flow of the two pumping stations,significantly improves the average efficiency of water pumps,and reduces the average frequency of water pump start and stop.This indicates that the established optimization model can effectively reduce safety hazards,taking into account the economic operation of pump stations.
关键词
长距离调水泵站/NSGA-Ⅲ算法/多目标优化/多属性决策/优化调度Key words
long-distance water transfer pumping station/NSGA-Ⅲ algorithm/multi-objective optimization/multi-attribute decision-making/optimal scheduling引用本文复制引用
基金项目
国家自然科学基金(5177083164)
山东省重点研发计划(2019GSF111003)
出版年
2024
NETL
NSTL
万方数据