An Efficient Scheduling Using Meta Heuristic Algorithms for Home Demand-side Management in Smart Grid
Energy consumption demand is comparatively higher than available energy, new approaches are being discovered to fulfill energy demand. This problem can be solved by assimilating Demand Side Management (DSM) with Smart Grid (SG). In this work, we observe the working of Home Energy Management System (HEMS) by using three meta-heuristic techniques; Harmony Search Algorithm (HSA) and Firefly Algorithm (FA) and Bacterial Foraging Algorithm (BFA). Time Of Use (TOU) is used as a pricing signal for calculation of electricity bill. The main concern of this paper is to minimize cost, reduce Peak to Average Ratio (PAR), maximization of user comfort and load management. Load management can be done by shifting load from on-peak hours to off-peak hours. Simulation results show that implemented techniques successfully achieve the defined goals.
KeywordsSmart Grid Demand Side Management Demand Response Heuristic techniques Harmony Search Algorithm Firefly Algorithm Bacterial Foraging Algorithm
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