Home Energy Management by Differential Evolution and Enhanced Differential Evolution in Smart Grid Environment
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This paper introduces Home Energy Management System (HEMS) which is the most revolutionary application of Smart Grid (SG) technology. It allows consumers to schedule the appliances according to their desires and requirements without effecting their living comfort along with the advantage of reducing electricity expenses. As a result, Peak to Average Ratio (PAR) is reduced for the benefit of utility. This paper focuses on optimizing power consumption in residential sector using Demand Side Management (DSM) strategy. Authors estimate the performance of Home Energy Management System (HEMS) by using optimization techniques: Differential Evolution (DE) and Enhanced Differential Evolution (EDE) and Real Time Pricing (RTP) signal is used for the calculation of electricity bills. As there is always a tradeoff between two parameters, so in our approach there exists a tradeoff between User Comfort (UC) and electricity cost. Simulation results show that in terms of waiting time DE performs better than EDE, however EDE performs better in terms of cost.
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