Coordinated recovery of interdependent power and water distribution systems

IF 2.4 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
IET Smart Grid Pub Date : 2024-06-14 DOI:10.1049/stg2.12175
Luis Rodriguez‐Garcia, M. Panteli, M. Parvania
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Abstract

The interdependent nature of power and water distribution systems (WDSs), which magnifies the impact of power outages caused by extreme weather, offers an opportunity to coordinate recovery actions towards enhancing their resilience after a major outage event. The authors develop an approach for the coordinated recovery of interdependent power and WDSs, which enhances the resilience of both infrastructures from an operational standpoint based on the optimised dispatch of existing power and water resources after an extreme weather event. The proposed model allocates the available resources in both power and WDSs—including solar generation, battery energy storage systems, water stored in tanks, and small pumped‐storage hydropower—to minimise the energy and water demand curtailment. The proposed model is tested on the interconnection of IEEE 33‐bus test power distribution system with a 16‐node test WDS. Results for the test system show that, by coordinating the power and water operation during the recovery, the energy curtailment cost reduces by 8.9%, while the water curtailment cost is reduced by 33.5% from adequately allocating energy resources without negatively affecting the demand requirements during the restoration process, when compared to the uncoordinated approach where each infrastructure is operated independently.
协调恢复相互依存的配电和供水系统
配电系统和配水系统(WDS)相互依存的性质放大了极端天气造成的停电影响,这为协调恢复行动以提高重大停电事件后的恢复能力提供了机会。作者开发了一种协调恢复相互依存的电力和水分配系统的方法,该方法基于极端天气事件后现有电力和水资源的优化调度,从运行角度增强了这两种基础设施的恢复能力。所提出的模型可分配电力和水资源开发系统中的可用资源,包括太阳能发电、电池储能系统、水箱储水和小型抽水蓄能水电,从而最大限度地减少能源和水资源需求的削减。在 IEEE 33 总线测试配电系统与 16 节点测试水分配系统的互连中测试了所提出的模型。测试系统的结果表明,通过协调恢复期间的电力和水力运行,与不协调的方法(即各基础设施独立运行)相比,能源削减成本降低了 8.9%,而由于在恢复过程中在不对需求产生负面影响的情况下充分分配了能源资源,水力削减成本降低了 33.5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IET Smart Grid
IET Smart Grid Computer Science-Computer Networks and Communications
CiteScore
6.70
自引率
4.30%
发文量
41
审稿时长
29 weeks
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