*(0086) Optimal Transmission Expansion Planning considering Distributed Generations by using Non- dominated sorting genetic algorithm-II (NSGA-II)

  • Mehrdad Ahmadi Kamarposhti Head of Research Group, Assistant Professor and Member of Faculty, Department of Electrical Engineering, Jouybar Branch, Islamic Azad University Jouybar, Iran ::---------------::::::::::::---------------:: Associate Editor, Journal of Power Technologies (http://papers.itc.pw.edu.pl/index.php/JPT) http://orcid.org/0000-0003-4581-1619
  • Ersan Kabalci Department of Electrical and Electronics Engineering, Nevsehir Haci Bektas Veli University, Nevsehir, Turkey http://orcid.org/0000-0002-7964-9368

Abstract

Reconstructing power systems has changed the traditional planning of power systems and has raised new challenges in Transmission Expansion Planning (TEP). Because of these reason, new methods and criteria have been formed for planning transmission in reconstructed environments. Thus, a dynamic programming was used for transmission efficiency based on multi-objective optimization in this research. In this model, investment cost, cost of density and dependability have been considered three objectives of optimization. In this paper, NSGAII multi-objective genetic algorithm was used to solve this non-convex and mixed integer problem. A fuzzy decision method has been used to choose the final optimal answer from the Pareto solutions obtained from NSGAII. Moreover, to confirm the efficiency of NSGAII multi-objective genetic algorithm in solving TEP problem, this algorithm was implemented in an IEEE 24 bus system and the gained results were compared with previous works in this field.

Author Biography

Mehrdad Ahmadi Kamarposhti, Head of Research Group, Assistant Professor and Member of Faculty, Department of Electrical Engineering, Jouybar Branch, Islamic Azad University Jouybar, Iran ::---------------::::::::::::---------------:: Associate Editor, Journal of Power Technologies (http://papers.itc.pw.edu.pl/index.php/JPT)
Mehrdad Ahmadi Kamarposhti was born in Qaemshahr, Mazandaran, Iran in 1984. He received the B.E. degree from Mazandaran University, Iran, in 2006, and the M.S. degree from South Branch, Islamic Azad University, Tehran, Iran, in 2008, both in power electrical engineering, and also He received the Ph.D. degree in power electrical engineering from Science and Research Branch, Islamic Azad University, Tehran, Iran, in 2015. He is currently an Assistant Professor with Department of Electrical Engineering, Jouybar Branch, Islamic Azad University, Jouybar, Iran. His research interests are FACTS devices, allocation of disturbed generation, renewable energy, optimization algorithm, Micro grid, power reactive compensation.

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Published
2021-03-19
How to Cite
AHMADI KAMARPOSHTI, Mehrdad; KABALCI, Ersan. *(0086) Optimal Transmission Expansion Planning considering Distributed Generations by using Non- dominated sorting genetic algorithm-II (NSGA-II). Journal of Power Technologies, [S.l.], v. 101, n. 1, p. 70-77, mar. 2021. ISSN 2083-4195. Available at: <https://papers.itc.pw.edu.pl/index.php/JPT/article/view/1615>. Date accessed: 21 nov. 2024.
Citation Formats
Issue
Vol 101 No 1 (2021)
Section
Electrical Engineering

Keywords

dynamic programming for transmission efficiency network, multi-objective optimization, multi-objective genetic algorithm, fuzzy decision method.
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