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2014 (Vol. 7, Issue: 13)
Article Information:

Application of Particle Swarm Optimization for Transmission Network Expansion Planning with Security Constraints

Ehsan Sarrafan
Corresponding Author:  Ehsan Sarrafan 

Key words:  Parallel PSO, particle swarm optimization algorithm, transmission network expansion planning, , , ,
Vol. 7 , (13): 2605-2611
Submitted Accepted Published
March 28, 2013 May 21, 2013 April 05, 2014

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.
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  Cite this Reference:
Ehsan Sarrafan, 2014. Application of Particle Swarm Optimization for Transmission Network Expansion Planning with Security Constraints.  Research Journal of Applied Sciences, Engineering and Technology, 7(13): 2605-2611.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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