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首页> 外文会议>First Joint Conference IAHR-IWA on Pumps, Electromechanical Devices and Systems Applied to Urban Water Management Vol.2; 2003; Polytechnic University of Valencia Spain >Optimization of water supply operation: Pump power rate reduction using genetic algorithm
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Optimization of water supply operation: Pump power rate reduction using genetic algorithm

机译：优化供水运行：使用遗传算法降低泵功率

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This paper shows that an optimal water supply operation reduces the operational cost with respect to pump power rates. It is necessary to significantly reduce operation costs as well as to meet water supply demands. It is very crucial to make good use of reservoir capacity and to shift the daytime electric power consumption of pumps to nighttime consumption. Such problems can be formulated as 0-1 integer programming as derived in this paper. They become large when applied to multiple water plants. A Genetic Algorithm (GA) is a promising approach to solving such problems, since it requires small calculation time. As a first step in optimizing the large programming problems, including those of multiple water plants, this paper investigates the applicability of GA to the optimization problem including a single water plant. The reduction of power rates is confirmed through several numerical simulations.
机译：本文表明，最佳的供水操作降低了泵功率率方面的运行成本。必须大大降低运营成本以及满足供水需求。充分利用储水库容量并将泵的白天电耗转换为夜间电耗至关重要。这些问题可以用本文中得出的0-1整数规划来表示。当应用于多个自来水厂时，它们会变大。遗传算法（GA）是解决此类问题的一种有前途的方法，因为它需要很少的计算时间。作为优化大型规划问题（包括多个自来水厂的规划问题）的第一步，本文研究了遗传算法对包含单个自来水厂的优化问题的适用性。通过几个数值模拟可以确定电费率的降低。

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