Load Peak-valley Period Division Based on K-means Clustering Algorithm
The reasonable formulation of time-sharing electricity price strategy is conducive to peak load shifting and valley filling,and the safe,stable and economic operation of the power grid,so the peak and valley period divi-sion of load is an important work.In this paper,we first analyze the characteristics of different daily load fluctua-tions,study the principle of K-means algorithm,and study the division method of load peak and valley period based on K-means.The analysis of this paper shows that the division results of different seasons are different,so the sea-sonal factors should be considered when setting time-sharing electricity price.
clustering algorithmdemand side correspondingpeak and valley loadseasonal factors