Implementing Critical Peak Pricing in Home Energy Management Using Biography Based Optimization and Genetic Algorithm in Smart Grid
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.
- 8.Ma, K., Yao, T., Yang, J., Guan, X.: Residential power scheduling for demand response in smart grid. Int. J. Electr. Power Energy Syst. 78, 320–325 (2016). VancouverGoogle Scholar
- 10.Zhu, Z., Tang, J., Lambotharan, S., Chin, W.H., Fan, Z.: An integer linear programming based optimization for home demand-side management in smart grid. In: Innovative Smart Grid Technologies (ISGT), 2012 IEEE PES, pp. 1–5. IEEE, January 2012Google Scholar