为了降低运营成本并提供更可靠的运营，水务行业已经开始研究在线遥测和优化计算机控制系统的集成。能源成本构成了全球几乎所有水务公司的最大支出，可以消耗高达65%的水务公司年度运营预算。节约能源成本的最大潜在领域之一是日常泵运行的调度。本文提出了一种新的管理模型，即H2ONET调度器，用于供水系统的优化控制和运行。该模型利用遗传算法优化的最新进展，在满足目标水力性能要求的同时，自动确定配水系统中每个泵站的最低成本水泵调度/运行策略。 泵站的运行策略代表一组时间规则或指南（单个泵的运行时间），指示特定泵或泵组在控制期内的开启和关闭时间。系统性能要求规定了节点压力的下限和上限；最大管道速度；最大泵送容量；最大和最小储罐液位；以及在指定时间段结束时的最终储罐容积，以确保水力周期性。由此产生的模型可以有效地用于评估各种速率计划，优化存储/泵送权衡，提高运行效率，并确保更可靠的运行。该方法对任何试图优化抽水操作和水库控制的水务公司都是有用的。 包括6个参考文献、图表。

The water utility industry has started investigating the integration of on-line telemetry and optimal computer control systems in an effort to reduce operating costs and provide more reliable operations. Energy costs constitute the largest expenditure for nearly all water utilities worldwide and can consume up to 65 percent of a water utility's annual operating budget. One of the greatest potential areas for energy cost-savings is the scheduling of daily pump operations. This paper presents a new management model, H2ONET Scheduler, for optimal control and operation of water distribution systems. The proposed model makes use of the latest advances in genetic algorithm optimization to automatically determine the least-cost pump scheduling/operation policy for each pump station in the water distribution system while satisfying target hydraulic performance requirements. The operation policy for a pump station represents a set of temporal rules or guidelines (individual pump operating times) that indicate when a particular pump or group of pumps should be turned on and off over the control period. System performance requirements prescribe lower and upper limits on nodal pressures; maximum pipe velocities; maximum pumped volumes; maximum and minimum storage tank levels; and, final tank volumes at the end of a specified time period to ensure hydraulic periodicity. The resulting model can be effectively used to evaluate various rate schedules, optimize storage/pumping trade-offs, improve operational efficiency, and assure more reliable operations. The method should prove useful to any water utility attempting to optimize pumping operations and reservoir control. Includes 6 references, figures.