Synchronizing of Smart Homes in Microgrids using Whale Optimization Algorithm

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Nourozi Farhad; Ghardash khani Navid

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Journal Paper

Paper Information

Journal: INTERNATIONAL JOURNAL OF SMART ELECTRICAL ENGINEERING Year:2024 | Volume:13 | Issue:1 Page(s): 1-8

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Information Journal Paper

Title

Synchronizing of Smart Homes in Microgrids using Whale Optimization Algorithm

Author(s)

Nourozi Farhad | Ghardash khani Navid | Issue Writer Certificate

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.

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