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Velocity feedback adaptive particle swarm optimization for optimal congestion management
Joint Authors
Erukulla, Muneender
Vinodkumar D. M.
Source
Issue
Vol. 8, Issue 2 (30 Jun. 2012), pp.160-177, 18 p.
Publisher
Publication Date
2012-06-30
Country of Publication
Algeria
No. of Pages
18
Main Subjects
Topics
Abstract EN
In a deregulated electricity market one of the most important tasks of System Operator is to manage congestion.
One of the most practical and obvious technique of congestion management (CM) is rescheduling the power outputs of generators in the system.
The optimal rescheduling of powers in a pool model is formulated as a constrained nonlinear optimization problem.
This paper proposes a novel Velocity Feedback Adaptive Particle Swarm Optimization (VFAPSO) for solving the constrained nonlinear optimization problem of the congestion management problem to minimize the Congestion Cost using the optimal rescheduling of reactive power generation of both generator and capacitor along with the rescheduling of active power.
In the proposed VFAPSO method the inertia weight is dynamically adjusted using the information of average velocity of swarm as feedback.
The proposed method deals with an adaptive strategy for tuning the parameters of Particle Swarm Optimization method based on the analysis of the dynamics of PSO.
The effectiveness of the proposed method has been tested on 39-bus New England Test system.
The simulation experiments reveal that the proposed method performs better than the Standard Particle Swarm Optimization (SPSO), Linearly Decreasing Inertia Weight PSO and other Evolutionary Algorithms such as Binary Coded Genetic Algorithm (BCGA) and Real Coded Genetic Algorithm (RCGA).
American Psychological Association (APA)
Erukulla, Muneender& Vinodkumar D. M.. 2012. Velocity feedback adaptive particle swarm optimization for optimal congestion management. Journal of Electrical Systems،Vol. 8, no. 2, pp.160-177.
https://search.emarefa.net/detail/BIM-313983
Modern Language Association (MLA)
Erukulla, Muneender& Vinodkumar D. M.. Velocity feedback adaptive particle swarm optimization for optimal congestion management. Journal of Electrical Systems Vol. 8, no. 2 (Jun. 2012), pp.160-177.
https://search.emarefa.net/detail/BIM-313983
American Medical Association (AMA)
Erukulla, Muneender& Vinodkumar D. M.. Velocity feedback adaptive particle swarm optimization for optimal congestion management. Journal of Electrical Systems. 2012. Vol. 8, no. 2, pp.160-177.
https://search.emarefa.net/detail/BIM-313983
Data Type
Journal Articles
Language
English
Notes
Includes appendices : p. 177
Record ID
BIM-313983