A New Meta-heuristic Optimization Algorithm Inspired from Strawberry Plant for Demand Side Management in Smart Grid
In recent years, different Demand Side Management (DSM) techniques have been proposed to involve users in decision making process of Smart Grid (SG). Power consumption pattern of shiftable home appliances is schedule to achieve desired benefits of high User Comfort (UC) and low energy consumption. In this paper, an Energy Management Controller (EMC) is designed by using two meta-heuristic algorithms: Strawberry Algorithm (SBA) and Enhanced Differential Evolution (EDE). The main objectives are electricity bill minimization, reduction in Peak to Average Ratio (PAR) and maximization of UC. However, there always exist a trade-off between cost minimization and UC maximization. Simulation results verify that, SBA perform better then EDE in terms of cost reduction while EDE perform far better than SBA in terms of UC maximization.
KeywordsDemand side management Smart grid Meta-heuristic techniques Strawberry algorithm Enhanced differential evolution Real time pricing scheme
- 3.Zhu, Z., et al.: An integer linear programming based optimization for home demand-side management in smart grid. In: 2012 IEEE PES Innovative Smart Grid Technologies (ISGT). IEEE (2012)Google Scholar
- 5.Merrikh-Bayat, F.: A numerical optimization algorithm inspired by the strawberry plant. arXiv preprint arXiv:1407.7399 (2014)
- 7.Ma, J., et al.: Residential load scheduling in smart grid: a cost efficiency perspective. IEEE Trans. Smart Grid 7(2), 771–784 (2016)Google Scholar
- 13.Zafar, A., et al.: A meta-heuristic home energy management system. In: 2017 31st International Conference on Advanced Information Networking and Applications Workshops (WAINA). IEEE (2017)Google Scholar