Fast microgrids formation of distribution network with high penetration of DERs considering reliability

Microgrids (MGs) formation of distribution network with high penetration of distributed energy resources (DERs) affects not only the improvement of power supply reliability, but also the utilization efficiency of renewable resources. Here a fast partition method constructing MGs is proposed by combining depth search with a modified imperial competition algorithm (MICA). For the purpose of decreasing search space as well as assuring DERs maximum utilization, Candidate Island is investigated to determine the maximum reachability boundary of MGs in island mode. When in the dilemma of constructing Isolated Island (i.e., MGs with single DERs) or Jointed Island (i.e., MGs with multiple DERs), the reliability calculation method for MGs with multiple DERs and multisystem is available here. Also, the principle of MGs construction is presented by considering load grade, voltage loss and reliability. On this basis, MICA is employed to carry out the construction of MGs by competing for the intersection among multiple MGs and evolve the optimal island with high reliability accordingly. Furthermore, the parallel strategy improving the efficiency of island partition is given to guarantee an immediate response in abnormal, emergent and fault states. IEEE RBTS Bus 6 with additional DERs and several modified distribution networks with multiple DERs verified the effectiveness of the proposed method. (c) 2021 Published by Elsevier Ltd.

Automated summary

A fast partition method for constructing microgrids is proposed, using a combination of depth search and a modified imperial competition algorithm. The maximum reachability boundary of microgrids in island mode is determined by investigating Candidate Island. The reliability calculation method for microgrids with different numbers of distributed energy resources (DERs) is available, and the principle of microgrid construction considers load grade, voltage loss, and reliability to compete for the optimal island with high reliability.