Abstract
The performance and comparative analysis of home energy management controller using three optimization techniques; genetic algorithm (GA), enhanced differential evolution (EDE) and optimal stopping rule (OSR) has been evaluated in this paper. In this regard, a generic system model consisting of home area network, advanced metering infrastructure, home energy management controller, and smart appliances has been proposed. Price threshold policy and priority of appliance have also been considered to depict monthly and yearly average electricity bill savings and appliance delay using day-ahead real-time pricing (DA-RTP). Simulation results validate that all our proposed schemes successfully shifts the appliance operations to off-peak times and results in reduced electricity bill with reasonable waiting time.
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References
Tuballa, M.L., Abundo, M.L.: A review of the development of smart grid technologies. Renew. Sustain. Energy Rev. 59, 710–725 (2016)
Vardakas, J.S., Zorba, N., Verikoukis, C.V.: A survey on demand response programs in smart grids: pricing methods and optimization algorithms. IEEE Commun. Surv. Tutorials 17(1), 152–178 (2015)
Hossain, M.S., Madlool, N.A., Rahim, N.A., Selvaraj, J., Pandey, A.K., Khan, A.F.: Role of smart grid in renewable energy: an overview. Renew. Sustain. Energy Rev. 60, 1168–1184 (2016)
Vardakas, J.S., Zorba, N., Verikoukis, C.V.: Performance evaluation of power demand scheduling scenarios in a smart grid environment. Appl. Energy 142, 164–178 (2015)
Moon, S., Lee, J.-W.: Multi-Residential Demand Response Scheduling with Multi-Class Appliances in Smart Grid. IEEE Trans. Smart Grid (2016)
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)
Yi, P., Dong, X., Iwayemi, A., Zhou, C., Li, S.: Real-time opportunistic scheduling for residential demand response. IEEE Trans. Smart Grid 4(1), 227–234 (2013)
Rasheed, M.B., Javaid, N., Ahmad, A., Awais, M., Khan, Z.A., Qasim, U., Alrajeh, N.: Priority and delay constrained demand side management in real time price environment with renewable energy source. Int. J. Energy Res. 40(14), 2002–2021 (2016)
Shirazi, E., Jadid, S.: Optimal residential appliance scheduling under dynamic pricing scheme via HEMDAS. Energy Build. 93, 40–49 (2015)
Storn, R., Price, K.: Differential evolution a simple and efficient heuristic for global optimization over continuous spaces. J. Global Optim. 11(4), 341–359 (1997)
Arafa, M., Sallam, E.A., Fahmy, M.M.: An enhanced differential evolution optimization algorithm. In: 2014 Fourth International Conference on Digital Information and Communication Technology and Its Applications (DICTAP), Bangkok, pp. 216–225 (2014). doi:10.1109/DICTAP.2014.6821685
Iwayemi, A., Yi, P., Dong, X., Zhou, C.: Knowing when to act: an optimal stopping method for smart grid demand response. IEEE Netw. 25(5), 44–49 (2011)
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Khan, A., Javaid, N., Ahmed, A., Kazmi, S., Hussain, H.M., Khan, Z.A. (2018). Efficient Utilization of HEM Controller Using Heuristic Optimization Techniques. In: Barolli, L., Zhang, M., Wang, X. (eds) Advances in Internetworking, Data & Web Technologies. EIDWT 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 6. Springer, Cham. https://doi.org/10.1007/978-3-319-59463-7_57
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DOI: https://doi.org/10.1007/978-3-319-59463-7_57
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