Optimization of maintenance planning for water distribution networks under random failures
Optimization of maintenance planning for water distribution networks under random failures
复制标题
随机故障下给水管网维护规划优化
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Xin Chen
中科院分区：
文献类型：
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作者：
Honggang Wang;Xin Chen
摘要 供水管网 (WDN) 的成本效益和预防性维护对于水资源的可持续和可靠利用至关重要。在这项工作中，开发了数学模型并使用优化程序来制定随机故障下的最佳 WDN 维护计划。导出了称为条件预期供应影响 (CESI) 的条件概率度量，该度量考虑了 WDN 基础设施条件和动态客户需求。为了寻求最佳的 WDN 维护计划，我们制定了一个整数规划问题，以通过二元决策变量和预算约束来最小化 CESI 度量。使用美国大城市的区域 WDN 演示了数学模型和优化方法。应用遗传算法（GA）来解决优化问题并找到WDN的最佳维护计划。最优方案平均将CESI 降低60%。
AbstractCost-effective and preventive maintenance for water distribution networks (WDN) is essential for the sustainable and reliable use of water resources. In this work, mathematical models were developed and optimization procedures were used for optimal WDN maintenance planning under random failures. A conditional probabilistic measure known as conditional expected supply impact (CESI) was derived, which took into account both WDN infrastructure conditions and dynamic customer demands. To seek an optimal WDN maintenance plan, an integer programming problem was formulated to minimize the CESI measure with binary decision variables and budget constraints. The mathematical models and optimization approach were demonstrated using a regional WDN in a large United States city. Genetics algorithms (GA) were applied to solve the optimization problem and find the optimum maintenance plan for the WDN. The optimum plan averaged a reduction of CESI by 60%.