Load Model Based on Integrative K-means Clustering For Reliability Evaluation in Operational Planning

Aiming the deficiency of traditional load model used for reliability assessment, this paper proposes a new integrative K-means clustering algorithm incorporating load characteristics information. Based on the clustering algorithm, this model adopts multi-dimension correlation sampling technique considering bus load correlation load forecasting uncertainty to determine the bus load in evaluation period. At last, the effects of number of clustering, bus load correlation, and load forecast uncertainty are discussed and compared by case studies. The feasibility and reasonableness of the proposed algorithm are proved.