Abstract
Demand Side Management (DSM) is an efficient and robust strategy for energy management, Peak to Average Ratio (PAR) reduction and cost minimization. Many DSM techniques have been proposed for industrial, residential and commercial areas in last years. In this paper, we have design Home Energy Management Scheduler (HEMS) using two algorithms Genetic Algorithm (GA) and Crow Search Algorithm (CSA) for electricity cost and PAR minimization. Real Time Pricing (RTP) signals are used for electricity bill calculation. Simulation results demonstrate that our proposed scheme efficiently achieved our targeted objectives. However, GA performs superior than CSA due to high convergence rate. Furthermore, a trade-off exists between electricity cost and user waiting time; when electricity cost is low, user waiting time is high and vice versa.
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Butt, A.A. et al. (2018). Energy Efficiency Using Genetic and Crow Search Algorithms in Smart Grid. In: Xhafa, F., Caballé, S., Barolli, L. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-319-69835-9_6
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DOI: https://doi.org/10.1007/978-3-319-69835-9_6
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