Optimal Transmission Expansion Planning considering Distributed Generations by using Non-dominated sorting genetic algorithm-II (NSGAII)-Reference-Cited by-同舟云学术

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

Published:2020-12-15 Issue: Volume: Page:
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Author:

Kamarposhti Mehrdad Ahmadi¹^ORCID,Kabalci Ersan²^ORCID,Alayi Reza^ORCID

Affiliation:

1. Department of Electrical Engineering, Jouybar Branch, Islamic Azad University, Jouybar, Iran. Corresponding Author Emails: m.ahmadi@jouybariau.ac.ir, mehrdad.ahmadi.k@gmail.com

2. Department of Electrical and Electronics Engineering, Nevsehir Haci Bektas Veli University, Nevsehir, Turkey. Email: kabalci@nevsehir.edu.tr

Abstract

Reconstructing power systems has changed the traditional planning of power systems and has raised new challenges in transmission expansion planning (TEP). In this paper, investment cost, cost of density and dependability have been considered three objectives of optimization. Also, multi-objective genetic algorithm NSGAII 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, the algorithm was implemented in an IEEE 24 bus system and the gained results were compared with previous works in this field.

Publisher

Authorea, Inc.

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