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Resilience of Water Distribution Systems during Real-Time Operations under Limited Water and/or Energy Availability Conditions

机译:在有限的水和/或能量可利用条件下,实时运行期间配水系统的弹性

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A methodology for determining system operation resilience is presented for the real-time operation of water distribution systems (WDS) under critical conditions of limited water or electrical energy resulting from extreme drought or electric grid failure. Resilience for water distribution systems is defined as how quickly the WDS recovers or bounces back from emergency to normal operations. The algorithm for operational resilience was interfaced with an optimization-simulation model for the real-time optimal operation of water distribution systems. The resilience methodology considered both demand and water quality requirements of both the municipal WDS and the power plant cooling systems. The optimization-simulation modeling approach interfaced a genetic algorithm optimization procedure with the WDS hydraulic and water quality simulator (EPANET) in the framework of an optimal control problem. The interfacing of the genetic algorithm in MATLAB and the EPANET model was implemented using a MATLAB-EPANET toolkit. An example WDS including two cities, five power plants, and reclaimed water from a wastewater treatment plant was used to demonstrate the application of system operation resilience concepts to assess the performance. The resilience computation methodology presented in this study is applicable to both short-term and long-term failures of WDS. For the purposes of this study, the methodology was applied to three scenarios of short-term (2-6 h) power outages for the example WDS. A sensitivity analysis was performed for resilience of example WDSs under varying degrees of long-term system-level power and water shortages. Applications of the methodology are used to illustrate improved operation resilience of the system.
机译:提出了一种确定系统运行弹性的方法,用于在极端干旱或电网故障导致水或电能有限的关键条件下,对供水系统(WDS)进行实时运行。水分配系统的恢复能力定义为WDS从紧急状态恢复到正常运行或恢复反弹的速度。运营弹性算法与配水系统实时优化运行的优化仿真模型对接。弹性方法既考虑了市政WDS的需求,也考虑了电厂冷却系统的水质要求。优化模拟建模方法在最佳控制问题的框架内将遗传算法优化程序与WDS液压和水质模拟器(EPANET)进行了接口。使用MATLAB-EPANET工具包实现了MATLAB中的遗传算法与EPANET模型的接口。一个示例性的WDS(包括两个城市,五个发电厂和废水处理厂的中水)被用来演示系统操作弹性概念在评估性能方面的应用。这项研究中提出的弹性计算方法学适用于WDS的短期和长期故障。为了本研究的目的,该方法应用于示例WDS的三种短期(2-6 h)停电场景。在长期不同程度的系统级电力和水短缺情况下,对示例WDS的弹性进行了敏感性分析。该方法的应用被用来说明系统的改进的操作弹性。

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