Load Factor Improvement on Clustered Load Demand for Reducing Electrical Cost: A Case Study at Bangkhen Water Treatment Plant

Abstract

To manage load demand (LD) for reducing electrical cost efficiently, Load Shifting is the one of Demand Side Management (DSM) strategies to cut max load demand (MLD) at on-peak period (ON), and then shift it into off-peak period (OF) due to lower tariff by Time of Use meter (TOU). In this study, every l-hour-recorded LD each day in months of Bangkhen Water Treatment plant (BKP) is discussed as a case study. Then, they are clustered by K-Mean clustering technique to find optimal value as its hour. 24 hours are consequentially applied. After that, each value is plotted to polynomial algorithm to be a graph of clustered LD. 7 steps for Load Factor (LF) improvement by Load Shifting are presented in this study. As a consequence, the result shows the electrical cost decreasing from taking each step on clustered LD as Load Shifting for LF improvement.