Optimal Configuration of Microgrids Based on Fuzzy Scenario Clustering

被引：0

作者：

Li, Haipeng ^{[1
]}

Mi, Yang ^{[1
]}

Deng, Jin ^{[1
]}

Chen, Boyang ^{[1
]}

机构：

[1] Shanghai Univ Elect Power, Sch Elect Engn, Shanghai, Peoples R China

来源：

2022 4TH ASIA ENERGY AND ELECTRICAL ENGINEERING SYMPOSIUM (AEEES 2022) | 2022年

关键词：

fuzzy C-means clustering; microgrid; optimized configuration; MODEL;

D O I：

10.1109/AEEES54426.2022.9759806

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：133 / 137

页数：5

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