Journal of Green Energy Research and Innovation
Quarterly

Improving the Technical and Economic Indexes of Distribution Network by Three-Stage Enhanced Imperialist Competitive Algorithm

Document Type : Research article

Authors

Babak Rostami 1
Javad Ebrahimi 2
Zeinab Sabzian Molaee 3
Vahid Davatgaran 4
Seyed Arash Alavi 5

1 Bakhtar Regional Company, Arak, Iran.

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

3 Department of Electrical Engineering, Afarinesh University, Borujerd, Lorestan, Iran.

4 Department of Electrical Engineering, Technical and Vocational University (TVU), Tehran, Iran.

5 School of Electrical and Electronic Engineering University College Dublin, Dublin, Ireland.

https://doi.org/10.61186/jgeri.1.3.1
Abstract
Restructuring the distribution system in the presence of distributed generation (DG) sources is an effective solution to reduce the cost of power generation and improve the technical and economic parameters of networks. This paper models the optimal design of the location and capacity of DGs in a distribution system as a multi-objective optimization problem. The technical parameters of the problem include network losses, voltage stability index, and voltage profile improvement. Moreover, the economic parameters of the problem are the capital and operation costs of the system. The optimization problem presented in this paper is of mixed-integer nonlinear programming (MINLP) type, so the enhanced imperialist competition algorithm (EICA) is adopted to minimize the objective function. In this algorithm, adding a new implementation phase to the ICA increases searchability and thus enhances the algorithm's efficiency over ICA. The proposed method is first implemented on a standard IEEE 33-bus system. Then, a real network is incorporated to optimize the technical and economic parameters. The analysis and comparison of the results demonstrate the efficacy of the suggested algorithm in the optimal design of the system compared to the original ICA. In this article, we are finally able to bring the voltage profile and voltage stability index of the "Rahdarkhaneh" distribution feeder close to 1 pu and significantly reduce the network losses.

Graphical Abstract

Improving the Technical and Economic Indexes of Distribution Network by Three-Stage Enhanced Imperialist Competitive Algorithm

Highlights

 

  • Location and sizing of renewable resources
  • Using Enhanced Imperialist Competitive Algorithm
  • Carrying out the proposed design on a practical feeder

Keywords

Optimal location
Distributed generation source
Enhanced imperialist competition ‎algorithm‏


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

Babak Rostami‎: Data curation, Funding acquisition, Methodology, Resources, Validation, Visualization. Javad Ebrahimi‎: Formal analysis, Project administration, Resources, Software, Supervision, Roles/Writing original draft, Writing-review & editing. Zeinab Sabzian-Molaee: Data ‎curation, Methodology, Project ‎administration, Supervision, Validation. Vahid Davatgaran: Investigation, Resources, Visualization. Seyed Arash Alavi: Formal analysis, Visualization.

Bibliography

 Babak Rostami ‎ was born in Iran, in 1986 He received his M.Sc. degrees in Electrical Engineering (Power system) from ‎Afarinesh Higher Education Institute of Borujerd, in 2021. He is currently working as power ‎transmission shift operation expert in Bakhtar Regional Company. His current research interest ‎includes power system operation, distributed generation and microgrids‎.

 Javad Ebrahimi ‎ was born in Iran, in 1988. He received his Ph.D. degrees in Electrical Engineering ‎from Khomeinishahr Branch, Islamic Azad University, Khomeinishahr/Isfahan, Iran, in 2020. He is ‎currently working as a technical teacher in Technical and Vocational Academy of Isfahan province. ‎Also, he taught for 10 years at Borujerd Islamic Azad University and Ayatollah Borujerd University. ‎he has published 10 research paper, 8 conference paper and 1 industrial research project. His current ‎research interest includes power quality, smart Grid, demand side management and microgrids.‎

Zeinab Sabzian-Molaee received the B.Sc. degree in power system engineering from Tabriz University, Tabriz, Iran, in 2008. She received the M.Sc. and Ph.D. degrees from Islamic Azad University, Iran, in 2014 and 2022, respectively. Her research interests include power system planning, hybrid ac–dc distribution systems, and renewable distributed generation.

Vahid Davatgaran was born in 1987 in Iran. He received his B.Sc., M.Sc., and Ph.D. degrees in Electrical Engineering (Power Systems) from Shahid Chamran University of Ahvaz, Iran, in 2010, 2013, and 2019, respectively. He is currently an assistant professor at Department of Electrical Engineering, Technical and Vocational University (TVU), Tehran, Iran. His fields of interest include operation and planning of power systems, microgrids and renewable energies, smart grids, and reactive power control in power systems.

Seyed Arash Alavi, a senior energy policy researcher at University College Dublin, holds a Ph.D. and ‎bachelor's degrees from Shahid Chamran University, along with a master's degree from Khaje Nasir Toosi ‎University of Technology, all in Electrical Engineering with a focus on Power Systems. His research ‎currently centers on decarbonizing the electricity sector through the integration of renewable energies into ‎the power systems. Additionally, he explores the electrification of heat and transportation by incorporating ‎low-carbon technologies such as heat pumps (HPs) and electric vehicles (EVs).‎

Citation

B. Rostami, J. Ebrahimi, Z. Sabzian Molaee, V. Davatgaran, and S. A. Alavi, "Improving the Technical and Economic Indexes of Distribution Network by Three-‎Stage Enhanced Imperialist Competitive Algorithm," Journal of Green Energy Research and Innovation, vol. 1, no. 3, pp. 1-15, 2024.

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Journal of Green Energy Research and Innovation
Volume 1, Issue 3
Summer 2024
Pages 1-15

  • Receive Date 24 January 2024
  • Revise Date 24 February 2024
  • Accept Date 01 March 2024
  • Publish Date 01 September 2024

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