Abstract
In this paper, we analyse the scheduling of residential appliances to: 1) reduce cost, and 2) reduce Peak to Average Ratio (PAR) by smoothing load profile. We consider 10 different residential appliances which are categorized into three different groups: shiftable interruptible, shiftable uninterruptible and regular appliances to flexibly control the load. To schedule appliances, Home Energy Management (HEM) systems are designed by using four different heuristic algorithms: Bacterial Forging Optimization Algorithm (BFOA), Genetic Algorithm (GA), Binary Particle Swarm Optimization (BPSO) and Wind Driven Optimization (WDO).
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Naseem, M., Abid, S., Khalid, R., Hafeez, G., Hussain, S.M., Javaid, N. (2017). Towards Heuristic Algorithms: GA, WDO, BPSO, and BFOA for Home Energy Management in Smart Grid. In: Barolli, L., Xhafa, F., Yim, K. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2016. Lecture Notes on Data Engineering and Communications Technologies, vol 2. Springer, Cham. https://doi.org/10.1007/978-3-319-49106-6_25
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DOI: https://doi.org/10.1007/978-3-319-49106-6_25
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