Power Management using a modified WOA with Three Chaotic Maps

Abstract

Electrical devices have become an important part of modern daily life. They are widely used in household activities such as cleaning, laundry, refrigeration, cooling systems, and water pumping. The use of these devices increases electricity consumption.  A heavy load on the electrical grid is placed during peak hours because of working many electrical devices simultaneously, which results in higher electricity costs due to time-varying energy prices. To solve this problem, scheduling of household electrical devices has become one of the major research topics in energy management systems. Correct scheduling can prevent multiple devices from operating at the same time, which leads to reducing both peak demand and electricity costs by improving overall energy efficiency. This article proposed an enhanced Whale Optimization Algorithm (WOA) to determine the best scheduling for running the household appliances. The proposed approach aims to minimize electricity cost and power consumption while maintaining efficient device operation. In order to improve the exploration capability of the conventional WOA, three chaotic maps are incorporated into the algorithm with a mutation in some places to determine the search positions instead of using random numbers. This modification helps the algorithm converge faster and achieve better optimization performance.  The results show that the proposed method provides effective device scheduling and achieves significant reductions in electricity cost and energy consumption compared with the standard WOA approach.