DocumentCode
1995298
Title
Novel Levy Based Particle Swarm Optimization Algorithm for Electrical Power Grid
Author
Ismail, B. ; Nakib, Amir ; Heliodore, Frederic ; Poullain, Serge ; Siarry, Patrick
Author_Institution
Lab. LISSI, Univ. de Paris Est Creteil, Vitry-sur-Seine, France
fYear
2013
fDate
20-24 May 2013
Firstpage
466
Lastpage
473
Abstract
Various events such as the difficulty of constructing new transport´ saxes or natural phenomena encourage managers of the power systems to operate in their limit conditions. Consequently, in some unbalanced distribution of loads, it generates overloads of some electrical lines and a reduction of the stability margin of the electrical system. FACTS (Flexible Alternative Current Transmission System) allow to control transits of potencies in an uninterrupted manner on a network. In this paper, we address the optimal placement and sizing of FACTS problem. We demonstrated that by choosing carefully the number of FACTS, their type, their location in the network and their sizing, we perform very well the security of the power grid. Moreover we proposed a new particle swarm optimization algorithm based on Levy distribution. The obtained results show that Levy PSO provides good results.
Keywords
flexible AC transmission systems; load distribution; particle swarm optimisation; power grids; power system security; FACTS; FACTS problem; Levy PSO; Levy based particle swarm optimization algorithm; Levy distribution; electrical lines; electrical power grid; electrical system; flexible alternative current transmission system; natural phenomena; optimal placement; power grid security; power systems; unbalanced load distribution; Electricity; Equations; Mathematical model; Optimization; Particle swarm optimization; Probability distribution; Standards; Levy distibution; Metaheuristics; Particle Swarm Optimization; optimization; placement and sizing FACTS;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel and Distributed Processing Symposium Workshops & PhD Forum (IPDPSW), 2013 IEEE 27th International
Conference_Location
Cambridge, MA
Print_ISBN
978-0-7695-4979-8
Type
conf
DOI
10.1109/IPDPSW.2013.201
Filename
6650920
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