| Title |
Clustering Method for Analyzing Load Patterns in Stand Alone Island Regions |
| Authors |
도경택(Gyeong-Taek Do) ; 손영건(Yeong-Geon Son) ; 황성욱(Sung-Wook Hwang) ; 김성열(Sung-Yul Kim) |
| DOI |
https://doi.org/10.5370/KIEEP.2021.70.4.250 |
| Keywords |
Clustering; DBSCAN; K-Means; Load Pattern; Island regions |
| Abstract |
Currently, most island regions have independent microgrids composed of distributed power sources, including renewable energy, and there are many restrictions on implementing power generation control individually for these independent microgrids. Therefore, for more efficient power generation control and operation, clustering between island regions with similar load patterns is necessary. In this paper, the load pattern was analyzed for the Korea Electric Power Corporation management island regions, and the clustering method used in the analysis process was explained in detail, and the reliability of clustering was improved by verifying whether the clustering results were valid. In addition, through the results of each clustering, the relationship between new and renewable energy, an independent microgrid, and the island region corresponding to each cluster, is analyzed to propose a power generation control and operation method for each cluster. |