Abstract
In this study, problem of scheduling of appliances in Home Energy Management System (HEMS) is analyzed and a solution is proposed. Although there are many heuristic algorithms for solving the scheduling problem however we considered a swarm based heuristic algorithm Elephant Herding Optimisation (EHO). EHO uses the herding behaviour of elephants to handle the problem. To validate our research work, we simulate the single home with 12 appliances and scheduling is performed using EHO. We divided the appliances into two categories Interruptible and non-interruptible. Time of Use (TOU) pricing signal is used. Simulation results show that EHO is efficient as compare to Enhanced Differential Evolution (EDE) and unscheduled case. EHO technique is efficient in scheduling the appliances and reducing the waiting time.
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References
Litos Strategic Communication: The Smart Grid: An Introduction. U.S. Dept. Energy, Washington, DC, USA, Technical report 560.01.04 (2009). http://energy.gov/oe/downloads/smart-grid-introduction-0
Javaid, N., Javaid, S., Abdul, W., Ahmed, I., Almogren, A., Alamri, A., Niaz, I.A.: A hybrid genetic wind driven heuristic optimization algorithm for demand side management in smart grid. Energies 10, 319 (2017)
Rahim, S., Javaid, N., Ahmad, A., Khan, S.A., Khan, Z.A., Alrajeh, N., Qasim, U.: Exploiting heuristic algorithms to efficiently utilize energy management controllers with renewable energy sources. Energy Build. 129, 452–470 (2016)
Zhao, Z., Lee, W.C., Shin, Y., Song, K.B.: An optimal power scheduling method for demand response in home energy management system. IEEE Trans. Smart Grid 4(3), 1391–1400 (2013). doi:10.1109/TSG.2013.2251018
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: IEEE PES Innovative Smart Grid Technologies (ISGT), Washington, DC, pp. 1–5 (2012). doi:10.1109/ISGT.2012.6175785
Ma, K., Yao, T., Yang, J., Guan, X.: Residential power scheduling for demand response in smart grid. Int. J. Electric. Power Energy Syst. 78, 320–325 (2016). ISSN 0142-0615. http://doi.org/10.1016/j.ijepes.2015.11.099
Samadi, P., Wong, V.W.S., Schober, R.: Load scheduling and power trading in systems with high penetration of renewable energy resources. IEEE Trans. Smart Grid 7(4), 1802–1812 (2016). doi:10.1109/TSG.2015.2435708
Afar, S., Brotcorne, L., Marcotte, P., Savard, G.: Achieving an optimal trade-off between revenue and energy peak within a smart grid environment. Renew. Energy 91, 293–301 (2016). ISSN 0960-1481. http://doi.org/10.1016/j.renene.2016.01.055
Gholian, A., Mohsenian-Rad, H., Hua, Y.: Optimal industrial load control in smart grid. IEEE Trans. Smart Grid 7(5), 2305–2316 (2016). doi:10.1109/TSG.2015.2468577
Li, C., Yu, X., Yu, W., Chen, G., Wang, J.: Efficient computation for sparse load shifting in demand side management. IEEE Trans. Smart Grid 8(1), 250–261 (2017). doi:10.1109/TSG.2016.2521377
Yu, M., Hong, S.H.: A real-time demand-response algorithm for smart grids: a Stackelberg game approach. IEEE Trans. Smart Grid 7(2), 879–888 (2016). doi:10.1109/TSG.2015.2413813
Hansen, T.M., Roche, R., Suryanarayanan, S., Maciejewski, A.A., Siegel, H.J.: Heuristic optimization for an aggregator-based resource allocation in the smart grid. IEEE Trans. Smart Grid 6(4), 1785–1794 (2015). doi:10.1109/TSG.2015.2399359
Kuppannagari, S.R., Kannan, R., Chelmis, C., Tehrani, A.S., Prasanna, V.K.: Optimal customer targeting for sustainable demand response in smart grids. Procedia Comput. Sci. 80, 324–334 (2016). ISSN 1877-0509. http://dx.doi.org/10.1016/j.procs.2016.05.324
Wang, G.G., Deb, S., Coelho, L.D.S.: Elephant herding optimization. In: 3rd International Symposium on Computational and Business Intelligence (ISCBI 2015), Bali, pp. 1–5 (2015). doi:10.1109/ISCBI.2015.8
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Sarwar, M.A., Amin, B., Ayub, N., Faraz, S.H., Khan, S.U.R., Javaid, N. (2018). Scheduling of Appliances in Home Energy Management System Using Elephant Herding Optimization and Enhanced Differential Evolution. In: Barolli, L., Woungang, I., Hussain, O. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 8. Springer, Cham. https://doi.org/10.1007/978-3-319-65636-6_12
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DOI: https://doi.org/10.1007/978-3-319-65636-6_12
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