Abstract
In this paper, we present a Home Energy Management System (HEMS) using two meta-heuristic optimization techniques: Bacterial Foraging Optimization Algorithm (BFOA) and Bat Algorithm (BA). HEMS will provide different services to end user to manage and control their energy usage with time of use. The proposed model used for load scheduling between peak hour and off-peak hour. In this regard, we perform appliances scheduling to manage the frequent demand from the consumer. The aim of the proposed scheduling is to minimize peak to average ratio and the cost while having some trade-off in user comfort to achieve an optimal management of load. Simulation results show that the BA outperform than BFOA in selected performance parameters.
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References
Ahmad, A., Khan, A., Javaid, N., Hussain, H.M., Abdul, W., Almogren, A., Alamri, A., Niaz, I.A.: An optimized home energy management system with integrated renewable energy and storage resources. Energies 10(4), 549 (2017)
Bahmani-Firouzi, B., Azizipanah-Abarghooee, R.: Optimal sizing of battery energy storage for micro-grid operation management using a new improved bat algorithm. Int. J. Electr. Power Ener. Syst. 56, 4254 (2014)
Barbato, A., Capone, A., Chen, L., Martignon, F., Paris, S.: A distributed demand-side management framework for the smart grid. Comput. Commun. 57, 1324 (2015)
Javaid, N., Javaid, S., Abdul, W., Ahmed, I., Almogren, A., Alamri, A., Niaz, I.: A hybrid genetic wind driven heuristic optimization algorithm for demand side management in smart grid. Energies 10(3), 319 (2017)
Muratori, M., Rizzoni, G.: Residential demand response: dynamic energy management and time-varying electricity pricing. IEEE Trans. Power Syst. 31(2), 1108–1117 (2016)
Ma, K., Yao, T., Yang, J., Guan, X.: Residential power scheduling for demand response in smart grid. Int. J. Electr. Power Ener. Syst. 78, 320–325 (2016)
Seyedali, M., Mirjalili, S.M., Yang, X.-S.: Binary bat algorithm. Neural Comput. Appl. 25, 663–681 (2014)
Bin, N., Nawi, M., Atika, N., Razali, B., Rehman, M.Z., Khan, A.: Echo-location in bat algorithm. ARPN J. Eng. Appl. Sci. 11(22), 13252–13258 (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. Ener. Buildings 129, 452–470 (2016)
Rehman, N., Rahim, H., Ahmad, A., Khan, Z.A., Qasim, U., Javaid, N.: Heuristic algorithm based energy management system in smart grid (2016)
Abushnaf, J., Rassau, A., Gornisiewicz, W.: Impact on electricity use of introducing time-of-use pricing to a multi-user home energy management system. Int. Trans. Electr. Ener. Syst. 26(5), 993–1005 (2016)
Shariatzadeh, F., Mandal, P., Srivastava, A.K.: Demand response for sus-tainable energy systems: a review, application and implementation strategy. Renew. Sustain. Ener. Rev. 45, 343–350 (2015)
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, 1391–1400 (2013). https://doi.org/10.1109/TSG.2013.2251018
Ullah, I., Javaid, N., Khan, Z.A., Qasim, U., Khan, Z.A., Mehmood, S.A.: An incentive-based optimal energy consumption scheduling algorithm for residential users. Proc. Comput. Sci. 52(Seit), 851–857 (2015)
Zhu, Z., Tang, J., Lambotharan, S., Chin, W.H., Fan, Z.: An integer linear pro-gramming based optimization for home demand-side management in smart grid. In: 2012 IEEE PES Innovative Smart Grid Technologies (ISGT), p. 15 (2012)
Priya Esther, B., Shivarama Krishna, K., Sathish Kumar, K., Ravi, K.: Demand side management using bacterial foraging optimization algorithm. In: Information Systems Design and Intelligent Applications, pp. 657–666, Springer India (2016)
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Razzaq, S. et al. (2018). Demand Side Management Using Meta-Heuristic Optimization Techniques. In: Barolli, L., Xhafa, F., Conesa, J. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-319-69811-3_5
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DOI: https://doi.org/10.1007/978-3-319-69811-3_5
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