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Resilience-Oriented Critical Load Restoration Using Microgrids in Distribution Systems

机译：配电系统中使用微电网的以弹性为导向的关键负荷恢复

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摘要

A resilience-oriented service restoration method using microgrids to restore critical load after natural disasters is proposed in this paper. Considering the scarcity of power generation resources, the concept of continuous operating time (COT) is introduced to determine the availability of microgrids for critical load restoration and to assess the service time. Uncertainties induced by intermittent energy sources and load are also taken into account. The critical load restoration problem is modeled as a chance-constrained stochastic program. A Markov chain-based operation model is designed to describe the stochastic energy variations within microgrids, based on which the COT is assessed. A two-stage heuristic is developed for the critical load restoration problem. First, a strategy table containing the information of all feasible restoration paths is established. Then the critical load restoration strategy is obtained by solving a linear integer program. Numerical simulations are performed on the IEEE 123-node feeder system under several scenarios to demonstrate the effectiveness of the proposed method. The impacts of fault locations, available generation resources, and load priority on the restoration strategy are discussed.
机译：提出了一种利用微电网恢复自然灾害后的临界负荷的面向弹性的服务恢复方法。考虑到发电资源的稀缺性，引入了连续运行时间（COT）的概念来确定用于临界负载恢复的微电网的可用性并评估服务时间。还应考虑间歇性能源和负载引起的不确定性。关键负荷恢复问题被建模为机会受限的随机程序。设计基于马尔可夫链的运行模型来描述微电网内的随机能量变化，并以此为基础评估COT。针对关键的负载恢复问题，开发了一种两阶段启发式方法。首先，建立包含所有可行还原路径信息的策略表。然后通过求解线性整数程序获得临界负荷恢复策略。在几种情况下，在IEEE 123节点馈线系统上进行了数值模拟，以证明该方法的有效性。讨论了故障位置，可用的发电资源和负载优先级对恢复策略的影响。

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