Home Energy Management Using Enhanced Differential Evolution and Chicken Swarm Optimization Techniques
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Energy optimization is important aspect of smart gird (SG). SG integrates communication and information technology in traditional grid. In SG there is two-way communication between consumer and utility. It includes smart meter, Energy Management Controller (EMC) and smart appliances. Users can shift load from on peak hours to off peak hours by adapting Demand Side Management (DSM) strategies, which effectively reduce electricity cost. The objectives of this paper are the minimization of power consumption, electricity cost, reduction of Peak to Average Ratio (PAR) using Enhanced Differential Evolution (EDE) and Chicken Swarm Optimization (CSO) algorithms. For the calculation of cost Critical Peak Pricing (CPP) is used. The simulations result show that proposed schemes reduce electricity cost, reduce power consumption and PAR.
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