Journal of Green Energy Research and Innovation
Quarterly

Design of a Power Management Strategy in Smart Distribution Networks with Wind Turbines and EV Charging Stations to Reduce Loss, Improve Voltage Profile, and Increase Hosting Capacity of the Network

Document Type : Research article

Authors

Javad Ebrahimi 1
Mahyar Abasi 2

1 Department of Education and Training of Isfahan Province, District 4 Management, Isfahan, 81458-13331, Iran.

2 Department of Electrical Engineering, Faculty of Engineering, Arak University, Arak 38156-8-8349, Iran.

https://doi.org/10.61186/jgeri.1.1.1
Abstract
Today, due to environmental and political reasons, countries around the world are required to use green energies, such as wind and solar energy. Also, most countries have switched to using electric vehicles (EVs) to reduce environmental pollution. Since smart distribution systems’ distributed generation (DG) power output is limited, this paper addresses this issue by planningcharging parking lots of EVs. The problem was formulated as a nonlinear optimization model. The objective function was to increase the power output, reduce the loss cost, and reduce the bus voltage deviations. Also, technical and economic limitations were considered in solving the planning problem. The uncertainty of consumption load, the behavior of EVs, and the output power of wind DGs were modeled using a combination of Monte Carlo and means methods. The improved gray wolf optimization (IGWO) algorithm was adopted to optimize the objective function. A standard IEEE 33-bus smart distribution system was studied to show the efficacy of the suggested solution. The results demonstrated the proposed solutions' high performance in improving the wind DG power output of the distribution system (PODS).

Graphical Abstract

Design of a Power Management Strategy in Smart Distribution Networks with Wind Turbines and EV Charging Stations to Reduce Loss, Improve Voltage Profile, and Increase Hosting Capacity of the Network

Highlights

  • Increasing hosting capacity by utilizing green energy sources
  • Uncertainty analysis using the Monte Carlo method
  • Optimal design of smart grids based on the IGWO method

Keywords

Wind turbine
Renewable energy
Grey wolf algorithm
Electric vehicles
Distributed generation

 

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

Javad Ebrahimi: Conceptualization, Formal analysis, Project administration, Supervision, Validation, Roles/Writing - original draft. Mahyar Abasi: Conceptualization, Investigation, Methodology, Resources, Visualization, Writing - review & editing.

 

Bibliography

Javad Ebrahimi was born in Iran in 1988. He received his Ph.D. degree in Electrical Engineering (Power system) from Khomeinishahr Branch, Islamic Azad University, Khomeinishahr /Isfahan, Iran, in 2020. He currently works as a technical teacher in the Technical and Vocational Academy of Isfahan province. Also, he has taught for ten years at Borujerd Islamic Azad University and Ayatollah Borujerd University. He has published ten research papers, eight conference papers, and one industrial research project. His research interests include power quality, smart grids, demand-side management, and microgrids.

Mahyar Abasi was born in Iran in 1989. He graduated with a Ph.D. in Electrical Power Engineering from the Shahid Chamran University of Ahvaz, Ahvaz, Iran, in 2021. His research background is more than 60 published journal and conference papers, more than 10 authored books, 11 industrial research projects, and a patent in power systems. In 2021, he was introduced as the top researcher of Khuzestan province, Iran, and in the years 2021 to 2023, he successfully received four titles from the membership schemes of the National Elite Foundation in Iran. He is currently an Assistant Professor at the Electrical Engineering Department of Arak University, Arak, Iran. His specialized interests are fault protection, detection, classification, and location in HVAC and HVDC transmission lines, control of reactive power and FACTS devices, evaluation and improvement of power quality, and power system studies.


Citation
J. Ebrahimi, and M. Abasi, "Design of a Power Management Strategy in Smart Distribution Networks with Wind Turbines and EV Charging Stations to Reduce Loss, Improve Voltage Profile, and Increase Hosting Capacity of the Network," Journal of Green Energy Research and Innovation, vol. 1, no. 1, pp. 1-15, 2024.


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Journal of Green Energy Research and Innovation
Volume 1, Issue 1
Winter 2024
Pages 1-15

  • Receive Date 04 November 2023
  • Revise Date 10 December 2023
  • Accept Date 02 January 2024
  • Publish Date 04 March 2024

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