Abstract
In smart grid, Demand Side Management (DSM) plays a vital role in dealing with consumer’s demand and making communication efficient. DSM not only reduces electricity cost but also increases the stability of the grid. In this regard, we introduce an energy management system model for a home and office, then propose efficient scheduling techniques for power usage in both. This system schedule the appliances on the basis of four different optimization techniques to achieve objectives that are electricity cost minimization, reduction in Peak to Average Ratio and energy consumption management. Moreover, we use Real Time Pricing because it is highly flexible and provides an understanding to consumer about price signal variations. Simulation results show that the proposed model for energy management work efficiently to achieve the objectives and provide cost-effective solution to increase the stability of smart grid.
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References
Gungor, V.C., Sahin, D., Kocak, T., Ergut, S., Buccella, C., Cecati, C., Hancke, G.P.: Smart grid technologies: communication technologies and standards. IEEE Trans. Ind. Inf. 7(4), 529–539 (2011)
Shi, W., Xie, X., Chu, C.-C., Gadh, R.: A distributed optimal energy management strategy for microgrids. In: 2014 IEEE International Conference on Smart Grid Communications (SmartGridComm), pp. 200–205. IEEE (2014)
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)
Ju, L., Li, H., Zhao, J., Chen, K., Tan, Q., Tan, Z.: Multi-objective stochastic scheduling optimization model for connecting a virtual power plant to wind-photovoltaic-electric vehicles considering uncertainties and demand response. Energy Convers. Manage. 128, 160–177 (2016)
Mary, G.A., Rajarajeswari, R.: Smart grid cost optimization using genetic algorithm. Int. J. Res. Eng. Technol. 3(07), 282–287 (2014)
Soares, J., Silva, M., Sousa, T., Vale, Z., Morais, H.: Distributed energy resource short-term scheduling using Signaled Particle Swarm Optimization. Energy 42(1), 466–476 (2012)
Ma, K., Yao, T., Yang, J., Guan, X.: Residential power scheduling for demand response in smart grid. Int. J. Electr. Power Energy Syst. 78, 320–325 (2016)
Faria, P., Soares, J., Vale, Z., Morais, H., Sousa, T.: Modified particle swarm optimization applied to integrated demand response and DG resources scheduling. IEEE Trans. Smart Grid 4(1), 606–616 (2013)
Rahim, S., Iqbal, Z., Shaheen, N., Khan, Z.A., Qasim, U., Khan, S.A., Javaid, N.: Ant colony optimization based energy management controller for smart grid. In: 2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA), pp. 1154–1159. IEEE (2016)
Mehrshad, M., Tafti, A.D., Effatnejad, R.: Demand-side management in the smart grid based on energy consumption scheduling by NSGA-II. Int. J. Eng. Pract. Res. 2, 197–200 (2013)
Motevasel, M., Seifi, A.R.: Expert energy management of a micro-grid considering wind energy uncertainty. Energy Convers. Manage. 83, 58–72 (2014)
Logenthiran, T., Srinivasan, D., Shun, T.Z.: Demand side management in smart grid using heuristic optimization. IEEE Trans. Smart Grid 3(3), 1244–1252 (2012)
Barbato, A., Capone, A., Chen, L., Martignon, F., Paris, S.: A distributed demand-side management framework for the smart grid. Comput. Commun. 57, 13–24 (2015)
Yuce, B., Rezgui, Y., Mourshed, M.: ANN-GA smart appliance scheduling for optimised energy management in the domestic sector. Energy Build. 111, 311–325 (2016)
Lu, X., Zhou, K., Chan, F.T.S., Yang, S.: Optimal scheduling of household appliances for smart home energy management considering demand response. Nat. Hazards 88, 1–15 (2017)
Ahmed, M.S., Mohamed, A., Homod, R.Z., Shareef, H.: Hybrid LSA-ANN based home energy management scheduling controller for residential demand response strategy. Energies 9(9), 716 (2016)
Awais, M., Javaid, N., Shaheen, N., Iqbal, Z., Rehman, G., Muhammad, K., Ahmad, I.: An efficient genetic algorithm based demand side management scheme for smart grid. In: 2015 18th International Conference on Network-Based Information Systems (NBiS), pp. 351–356. IEEE (2015)
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Zahoor, S., Javaid, N., Yasmeen, A., Shafi, I., Khan, A., Khan, Z.A. (2018). Optimized Energy Management Strategy for Home and Office. In: Barolli, L., Xhafa, F., Javaid, N., Spaho, E., Kolici, V. (eds) Advances in Internet, Data & Web Technologies. EIDWT 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 17. Springer, Cham. https://doi.org/10.1007/978-3-319-75928-9_21
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DOI: https://doi.org/10.1007/978-3-319-75928-9_21
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