摘要
城市供水泵站在传统人工经验下制定的机组运行策略常导致机组效率下降、维护费用增加,造成能源浪费。建立了基于NSGA-Ⅱ算法的多目标能耗优化模型,考虑泵站机组相邻时段开机状态的影响,在满足用户用水需求的基础上,求解最优的水泵运行组合,降低能源浪费。以北京市某供水泵站为案例,按时段进行优化调度,对比优化前后能耗,结果表明多目标优化模型在控制机组开停机次数上具有显著优势,日节能比可达8.87%,且运行策略稳定。
The operational strategies for urban water supply pump stations formulated under traditional human experience often lead to reduced efficiency of the units,increased maintenance costs,and significant waste of energy.This paper establishes a multi-objective energy consumption optimization model based on the NSGA-Ⅱ algorithm,taking into account the impact of the operat-ing status of pump station units in adjacent time periods.The model aims to meet user water de-mand while solving for the optimal combination of pump operations to reduce energy waste.Tak-ing a water supply pump station in Beijing as a case study,optimization scheduling was conducted by the hour.A comparison of energy consumption before and after optimization reveals that the multi-objective optimization model offers a significant advantage in controlling the number of unit start-ups and shutdowns.The results of the operational strategies from multiple calculations are stable,with a daily energy saving rate still reaching 8.87%.
作者
张林
赵顺萍
刘阔
岳靖淋
陈哲
卢悦
ZHANG Lin;ZHAO Shunping;LIU Kuo;YUE Jinglin;CHEN Zhe;LU Yue(Beijing Waterworks Group Co.,Ltd.,Beijing 100031,China)
出处
《给水排水》
北大核心
2025年第8期147-152,共6页
Water & Wastewater Engineering
关键词
供水泵站
运行调控
遗传算法
多目标优化
智慧水务
Pump station
Operation and control
Genetic algorithm
Multi-objective optimization
Smart water technology
作者简介
通信作者:赵顺萍,女,1968年出生,北京人,研究生,教授级高级工程师。主要研究方向为给水排水。通信处:100031北京市西城区宣武门西大街甲121号,E-mail:609576350@qq.com。
