Implementing Critical Peak Pricing in Home Energy Management Using Biography Based Optimization and Genetic Algorithm in Smart Grid

Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 12)


In domestic area, demand of an electricity has been growing with the increase of energy consumed by appliances. So, there must be a mechanism for scheduling the appliances and reducing a power consumption in Home Energy Management System (HEMS). In this regard, we integrate two heuristic techniques Genetic Algorithm (GA) and Biography Based Optimization (BBO) in HEMS by using smart grid. Our discussion and simulations results clearly shows the effect on cost minimization, peak to average reduction and load reduction from on-peak to off- peak hours. We have used a Critical Peak Pricing (CPP) model for electricity bill calculation. Both GA and BBO outperforms for the reduction of cost Peak to Average Ratio (PAR) and load, by achieving user comfort maximization.


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.COMSATS Institute of Information TechnologyIslamabadPakistan

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