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Decline of Real Power Loss by the Combination of Ant Colony Optimization and Simulated Annealing Algorithm

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Abstract:

Combination of ant colony optimization (ACO) algorithm and simulated annealing (SA) algorithm has been done to solve the reactive power problem.In this proposed combined algorithm (CA), the leads of parallel, collaborative and positive feedback of the ACO algorithm has been used to apply the global exploration in the current temperature. An adaptive modification threshold approach is used to progress the space exploration and balance the local exploitation. When the calculation process of the ACO algorithm falls into the inactivity, immediately SA algorithm is used to get a local optimal solution. Obtained finest solution of the ACO algorithm is considered as primary solution for SA algorithm, and then a fine exploration is executed in the neighborhood. Very importantly the probabilistic jumping property of the SA algorithm is used effectively to avoid solution falling into local optimum. The proposed combined algorithm (CA) approach has been tested in standard IEEE 30 bus test system and simulation results show obviously about the better performance of the proposed algorithm in reducing the real power loss with control variables within the limits.

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International Journal of Engineering Research in Africa Vol. 23

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Periodical:

International Journal of Engineering Research in Africa (Volume 23)

Pages:

113-119

DOI:

https://doi.org/10.4028/www.scientific.net/JERA.23.113

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Online since:

April 2016

Authors:

K. Lenin*, B. Ravindhranath Reddy, M. Suryakalavathi

Keywords:

Ant Colony Optimization, Optimal Reactive Power, Simulated Annealing, Transmission Loss

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© 2016 Trans Tech Publications Ltd. All Rights Reserved

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