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Evolutionary Intelligence
Published in: Evolutionary Intelligence 1/2022

21-11-2020 | Research Paper

A multi-objective approach for solving transmission expansion planning problem considering wind power uncertainty

Authors: Basir Rashedi, Alireza Askarzadeh

Published in: Evolutionary Intelligence | Issue 1/2022

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Abstract

Security-constrained transmission expansion planning (SCTEP) is a vital power system problem. In last years, to attain energy sustainability, wind power has received significant attention as one of the popular renewable energy resources. This paper solves multi-objective optimization of TEP considering uncertainty of wind power. The uncertainty is modelled by Weibull probability distribution function and Monte-Carlo simulation is employed to consider the uncertainty into the problem. In the problem, the objectives are investment cost of new lines and expected energy not supplied obtained by N-1 security constraint criterion. Since SCTEP is a complex, large-scale, mixed-integer and non-linear combinatorial optimization problem, multi-objective crow search algorithm and multi-objective particle swarm optimization are utilized to find Pareto front. On modified 24-bus IEEE system, the optimization framework is investigated and the results are discussed.
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Appendix
Available only for authorised users
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Metadata
Title
A multi-objective approach for solving transmission expansion planning problem considering wind power uncertainty
Authors
Basir Rashedi
Alireza Askarzadeh
Publication date
21-11-2020
Publisher
Springer Berlin Heidelberg
Published in
Evolutionary Intelligence / Issue 1/2022
Print ISSN: 1864-5909
Electronic ISSN: 1864-5917
DOI
https://doi.org/10.1007/s12065-020-00525-2

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