Optimal Configuration of Microgrids Based on Fuzzy Scenario Clustering

Abstract

Considering the impact of extreme weather on the smooth operation of microgrids in remote areas, a microgrid optimization allocation strategy based on fuzzy scenario clustering is proposed. Using 8760 scenery scenarios in hours a year, the typical scenarios and extreme scenarios are obtained by distinguishing the affiliation characteristics unique to fuzzy scenario clustering. In this way, the impact of extreme scenarios on the optimal configuration of microgrids is considered. The impact of considering or not considering the extreme scenarios and the existing time-sharing tariff cases on the microgrid configuration results is compared. Through the analysis of the calculations, the strategy can ensure that the microgrid operates properly under the most economical conditions by considering the impact of extreme scenarios on the optimal configuration of the microgrid.