Abstract
Many techniques have been proposed to manage the demand and supply of electricity. However, due to rapid increase in population, electricity demand becomes a serious issue. In this paper, we evaluated the performance of Home Energy Management System (HEMS) on the basis of two optimizing techniques: Elephant Herding Optimization (EHO) and Harmony Search Algorithm (HSA). For managing demand response, we apply our proposed technique in HEMS for electricity cost and PAR minimization with desirable user waiting time. Simulations results demonstrate the effectiveness of our proposed technique in terms of electricity cost and PAR minimization. However, trade-off occurs between electricity cost and waiting time, when electricity cost is high, than user waiting time is minimized and vice versa.
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