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Optimal reliable and resilient construction of dynamic self-adequate multi-microgrids under large-scale events

机译：大型事件下动态自足式微电网的最佳可靠和弹性构造

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摘要

Existence of distributed generators (DGs) makes it possible to split distribution systems into multi-microgrids (MGs) in emergency conditions. In this study, after optimal allocation of distributed generation sources with a multi-objective function, the test system is optimally sub-divided into some self-adequate MGs with the least not supplied active and reactive power during large-scale events. By using the proposed method, the network will be more resilient against large-scale events such as critical lines outages or big generation outage under natural events with the optimal voltage regulation for each MG. The multi-objective problem is solved by the fuzzy satisfying approach and Pareto optimality methods. The proposed method in this study is based on the exchange market algorithm and tested on two systems, IEEE 33- and 69-bus distribution systems. Also, under normal network conditions, operation of distribution networks is evaluated using different objective functions like micro-virtual networks with minimum power exchange and loss minimisation, to determine which function causes the network to have the best status in terms of reliability and resiliency. Obtained results confirm the efficiency of this method for partitioning distribution systems to increase network robustness before a fault occurrence and also improve reliability and resiliency after a fault occurrence.
机译：分布式发电机（DG）的存在使在紧急情况下将配电系统分成多个微电网（MG）成为可能。在这项研究中，在对具有多目标功能的分布式发电源进行最佳分配之后，将测试系统最佳地细分为一些自足的MG，它们在大规模事件中的无功和无功功率最少。通过使用提出的方法，网络将针对大型事件（例如临界线路中断或自然事件下的大型发电中断）在每个MG的最佳电压调节下具有更大的弹性。用模糊满足法和帕累托最优法解决了多目标问题。本研究中提出的方法基于交易所市场算法，并在两个系统（IEEE 33总线和69总线配电系统）上进行了测试。同样，在正常的网络条件下，将使用不同的目标功能（例如具有最小的功率交换和损耗最小的微虚拟网络）来评估配电网络的运行情况，以确定哪个功能使网络在可靠性和弹性方面处于最佳状态。所获得的结果证实了该方法对配电系统进行分区以提高故障发生前的网络鲁棒性并提高故障发生后的可靠性和弹性的效率。

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