Outage Management of Power Distribution Systems with Electricity-Dependent Medically-Vulnerable Critical Loads
Outage Management of Power Distribution Systems with Electricity-Dependent Medically-Vulnerable Critical Loads
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DOI：
10.1109/icps57144.2023.10142087
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发表时间：
2023-05
期刊：
影响因子：
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通讯作者：
M. Rostamzadeh;Mohammad Heidari Kapourchali;Long Zhao;V. Aravinthan
中科院分区：
文献类型：
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作者：
M. Rostamzadeh;Mohammad Heidari Kapourchali;Long Zhao;V. Aravinthan
通过部署移动电源并有效利用其网络拓扑结构，电力公司可以在停电期间提高恢复能力。本文针对配电系统开发了一种停电管理方法，其中将配备依赖电力的医疗设备的负载视为关键负载。负载的关键性由负载与避难所的距离、医疗设备的类型、客户的社会经济状况以及医疗脆弱负载点客户的平均年龄决定。基于混合整数线性规划的优化模型对网络重构、移动电源的安装以及最小关键负载的削减进行了优化。该模型包含用于实际电网表示的三相网络配置约束。通过在恢复过程中最大化恢复的加权负载来获得最优恢复方案。为了应对不确定性和不精确的判断，采用层次分析法的模糊修正（FAHP）对恢复过程中的负载进行优先级排序。所提出的方法在修改后的IEEE 34节点配电测试系统的几种场景下进行了测试。这项研究的结果可以为配电网运营商在存在依赖电力的医疗设备负载的情况下管理停电提供一种策略。
By deploying mobile power sources and using their network topology effectively, electric utilities can enhance resilience during power outages. This paper develops an outage management approach for power distribution systems in which loads equipped with electricity-dependent medical devices are considered as critical loads. Load criticality is determined by the distance of the load from shelters, the type of medical device, the socio-economic status of the customers, and the average age of the customers at medically vulnerable load points. The optimization model based on mixed-integer linear programming optimizes network reconfiguration, the installation of mobile power sources, and the curtailing of minimum critical loads. The model includes the constraints for a three-phase network configuration for practical grid representation. Optimal restoration schemes are obtained by maximizing restored weighted loads during restoration. In order to deal with uncertainty and imprecise judgments, a fuzzy modification of the analytical hierarchical process (FAHP) is used to prioritize the loads during restoration. The proposed method is tested on the modified IEEE 34-bus distribution test system under several scenarios. The outcome of this study can provide a strategy for power distribution grid operators to manage outages in the presence of loads with electricity-dependent medical devices.