Research Article | OPEN ACCESS
Application of Particle Swarm Optimization for Transmission Network Expansion Planning with Security Constraints
Ehsan Sarrafan
Fars Regional Electric Company (FREC), Shiraz, Iran
Research Journal of Applied Sciences, Engineering and Technology 2014 13:2605-2611
Received: March 28, 2013 | Accepted: May 21, 2013 | Published: April 05, 2014
Abstract
In this study, a new discrete parallel Particle Swarm Optimization (PSO) method is presented for long term Transmission Network Expansion Planning (TNEP) with security constraints. The procedure includes obtaining the expansion planning with the minimum investment cost using a model based on DC load flow formulation. (N-1) contingency is included in this model. The Particle Swarm Optimization algorithm presented in this study is used to solve the planning problem for two different models: without security constraints and with security constraints. Also to solve the problem of transmission expansion planning for a medium network, new improved particle swarm optimization algorithms, the so called, Parallel Particle Swarm Optimization (PPSO) is proposed in this research. The algorithm presents high performances for such networks. The performances with this new algorithm are shown to be better than the ones with the standard PSO. Simulation results show the effectiveness of the parallel particle swarm optimization algorithm.
Keywords:
Parallel PSO, particle swarm optimization algorithm, transmission network expansion planning,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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