Microgrids Formation for Resiliency Improvement of Distribution Systems Considering Reconfiguration

Shaimaa Zalat, H. A. Abdelsalam, N. Abbasy
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Abstract

Distribution systems are exposed to many events, such as natural disasters which may lead to a major failure in feeding many loads as a result of the destruction of its poles, lines or other parts. The power supply may be affected and cannot operate. This paper proposes an approach to supply the critical loads from distributed energy resources (DERs) using mixed-integer linear programming (MILP) load restoration method combined with the reconfiguration dragonfly algorithm (DA) to restore the maximum number of critical loads. The first stage of the proposed approach is using the DERs to form microgrids when the main power is not in service. The reconfiguration of the distribution system is then applied in the second stage using the DA to supply the unrestored critical loads, considering minimum losses. The proposed method is tested on the IEEE 123-node feeder with 5 DERs. Simulation results show that the unrestored critical loads in the first stage can be re-energized by using the proposed method, hence the resiliency is enhanced.
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考虑重构的配电系统弹性改进的微电网形成
配电系统暴露在许多事件中,例如自然灾害,由于其极点,线路或其他部分的破坏,可能导致许多负载的馈电发生重大故障。可能影响供电,无法正常运行。本文提出了一种利用混合整数线性规划(MILP)负荷恢复方法结合重构蜻蜓算法(DA)从分布式能源(DERs)中提供临界负荷的方法,以恢复临界负荷的最大数量。所提出的方法的第一阶段是在主电源不工作时使用DERs形成微电网。然后在第二阶段应用配电系统的重新配置,使用DA来供应未恢复的临界负荷,考虑最小损失。该方法在IEEE 123节点馈线上进行了5个der的测试。仿真结果表明,采用该方法可以对第一阶段未恢复的临界负荷进行重新激励,从而增强了系统的弹性。
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