Abstract
In Home Energy Management System (HEMs), consumer has the opportunity to schedule home appliances. In this paper, we have purposed an efficient HEMs by using two heuristic techniques: Bacterial Foraging Optimization Algorithm (BFA) and Strawberry Algorithm (SBA). We divide the appliances into three categories. The primary objective of this work is electricity cost and Peak to Average Ratio (PAR) minimization. Simulation results show that our optimization schemes reduce the total electricity cost and peak to average ratio by shifting the load from on peak hours to off peak hours. Results show that BFA performs better than SBA regarding electricity cost minimization. However, a trade-off always exists between cost and user comfort.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Muralitharan, K., Sakthivel, R., Shi, Y.: Multiobjective optimization technique for demand side management with load balancing approach in smart grid. Neurocomputing 177, 110–119 (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)
Zafar, A., Shah, S., Khalid, R., Hussain, S.M., Rahim, H., Javaid, N.: A meta-heuristic home energy management system. In: 2017 31st International Conference on Advanced Information Networking and Applications Workshops (WAINA), pp. 244–250. IEEE, March 2017
Derakhshan, G., Shayanfar, H.A., Kazemi, A.: The optimization of demand response programs in smart grids. Energy Policy 94, 295–306 (2016)
Yang, J., Zhang, G., Ma, K.: A nonlinear control method for price-based demand response program in smart grid. Int. J. Electr. Power Energy Syst. 74, 322–328 (2016)
Samadi, P., Wong, V.W., 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)
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: Innovative Smart Grid Technologies (ISGT), 2012 IEEE PES, pp. 1–5. IEEE, January 2012
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(3), 319 (2017)
Lujano-Rojas, J.M., Dufo-Lpez, R., Bernal-Agustn, J.L., Catalo, J.P.: Optimizing daily operation of battery energy storage systems under real-time pricing schemes. IEEE Trans. Smart Grid 8(1), 316–330 (2017)
Meng, F.L., Zeng, X.J.: A profit maximization approach to demand response management with customers behavior learning in smart grid. IEEE Trans. Smart Grid 7(3), 1516–1529 (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)
Samadi, P., Mohsenian-Rad, A.H., Schober, R., Wong, V.W., Jatskevich, J.: Optimal real-time pricing algorithm based on utility maximization for smart grid. In: 2010 First IEEE International Conference on Smart Grid Communications (SmartGridComm), pp. 415–420. IEEE, October 2010
Nguyen, D.B., Scherpen, J.M., Bliek, F.: Distributed optimal control of smart electricity grids with congestion management. IEEE Trans. Autom. Sci. Eng. 14(2), 494–504 (2017)
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)
Merrikh-Bayat, F.: A Numerical Optimization Algorithm Inspired by the Strawberry Plant (2014). arXiv preprint arXiv:1407.7399
Khalid, A., Javaid, N., Mateen, A., Khalid, B., Khan, Z.A., Qasim, U.: Demand side management using hybrid bacterial foraging and genetic algorithm optimization techniques. In: 2016 10th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS), pp. 494–502. IEEE, July 2016
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Khan, H.N., Iftikhar, H., Asif, S., Maroof, R., Ambreen, K., Javaid, N. (2018). Demand Side Management Using Strawberry Algorithm and Bacterial Foraging Optimization Algorithm in Smart Grid. In: Barolli, L., Enokido, T., Takizawa, M. (eds) Advances in Network-Based Information Systems. NBiS 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-319-65521-5_17
Download citation
DOI: https://doi.org/10.1007/978-3-319-65521-5_17
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-65520-8
Online ISBN: 978-3-319-65521-5
eBook Packages: EngineeringEngineering (R0)