Synchronizing of Smart Homes in Microgrids using Whale Optimization Algorithm
Subject Areas : International Journal of Smart Electrical Engineering
Farhad Nourozi
1
(Department of Electrical Engineering, Ahrar Institute of Technology and Higher Education, Rasht, Iran)
Navid Ghardash khani
2
(Department of Electrical Engineering, Bandar Anzali Branch, Islamic Azad University, Bandar Anzali, Iran)
Keywords: Chaos Whale optimization (CWOA), Distributed Energy Resources (DER), Household Energy Management System (HEMS), Particle Swarm Optimization (PSO), Renewable Energy Systems (RES), Smart time Scheduling (SS),
Abstract :
The household energy management system (HEMS) can optimally schedule home appliances for transferring loads from peak to off-peak times. Consumers of smart houses have HEM, renewable energy sources and storage systems to reduce the bill. In this article, a new HEM model based on the time of usage pricing planning with renewable energy systems is proposed to use the energy more efficiently. The new meta-heuristic whale optimization algorithm (WOA) and the common meta-heuristic of particle swarm optimization (PSO) are used to achieve that. To improve the performance, a mapping chaos theory (CWOA) is proposed. Also, an independent solar energy source is used as a support of the microgrid to achieve a better performance. It is concluded that the energy saving achieved by the proposed algorithm is able to decrease the electricity bill by about 40-50% rather than the WOA and PSO methods. The proposed system is simulated in MATLAB environment.