Document Type : Research article
Author
Department of Electrical Engineering, Dolatabad Branch, Islamic Azad University, Isfahan, Iran.
10.61186/jgeri.1.1.65
Abstract
In this study, optimal energy management is addressed in the residential building. The residential building is equipped with renewable energies including wind turbines (WT) and photovoltaic (PV) systems. Stochastic programming is used to model the uncertainty of renewable energy resources. To manage these uncertainties and reduce the total daily cost of energy, the load control program is adopted. In this respect, five different types of loads are modeled in the building, including interruptible, uninterruptible, constant-energy, constant-power and movable loads. The above charges are properly adjusted and shipped to minimize energy costs and address the uncertainties of renewable energy by hybrid sine cosine shuffled frog leaping algorithm. The residential building is considered as later active in the network, which transfers energy from network to the building and vice versa. The simulation results show that the proposed model can efficiently harness all the energy possible from WT-PV systems, manage uncertainties, minimize total daily costs and operate as an island. All of these objectives are achieved by optimal load distribution and control within the proposed load control program.
Graphical Abstract
Highlights
- Integration of WT and PV systems in residential building is modeled.
- Different loading models are incorporated as load control program.
- Both connected and island operation of residential building are considered.
- Daily energy cost is minimized by using HSFL algorithm.
- Load control handles generation uncertainty of renewable energy resources.
Keywords
Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. The ethical issues, including plagiarism, informed consent, misconduct, data fabrication and/or falsification, double publication and/or submission, redundancy, have been completely observed by the authors.
Credit Authorship Contribution Statement
Behdad Arandian: Conceptualization, Formal analysis, Project administration, Supervision, Validation, Roles/Writing - original draft, Investigation, Methodology, Resources, Visualization, Writing - review & editing.
Bibliography
Behdad Arandian received the Ph.D. degree in electrical engineering from the Amirkabir University of Technology, Tehran, Iran, in 2017. He is currently an Associate Professor with the Electrical Engineering Department, Islamic Azad University, Isfahan, Iran. His current research interests include the energy planning (renewable and non-renewable resources), optimization methods, and power system planning.
Citation
B. Arandian, "Utilizing Hybrid Sine Cosine Shuffled Frog Leaping Algorithm for Optimal Energy Management in the Residential building with Renewable Energy Resources and Corresponding Uncertainties," Journal of Green Energy Research and Innovation, vol. 1, no. 1, pp. 66-79, 2024.
