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An Approach for Optimal Allocation of Fixed and Switched Capacitor Banks in Distribution Systems Based on the Monkey Search Optimization Method

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Abstract

This work presents an algorithm based on the bio-inspired optimization technique known as monkey search (MS) for the optimal allocation of fixed and switched capacitor banks in distribution systems. The objectives are to minimize the energy loss, to improve the voltage levels and to reduce the carbon dioxide emission. The monkey search technique is a metaheuristic method that is inspired by the behavior of a monkey searching for food in a jungle. The applied method consists of a modified monkey search (MMS), which presents modifications and improvements for the original MS technique to represent in a suitable manner the features and constraints of the capacitor allocation problem. The proposed model considers different load levels, voltage limit constraints and practical values for fixed and switched capacitor banks, as well as for unit costs and emission coefficient. Case studies are performed by using test systems of the literature in order to assess the efficiency of the proposed algorithm, including a tutorial on the MMS algorithm.

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Acknowledgments

The authors thank the “Foundation for Supporting Research in of Minas Gerais” (FAPEMIG), “Coordination for the Improvement of Higher Education Personnel” (CAPES), “Brazilian National Research Council” (CNPq), “Electric Power National Institute” (INERGE) and the “Bio-inspired and Heuristic Optimization” research group of UFJF for supporting this work.

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Authors and Affiliations

  1. Department of Electrical Engineering, Federal University at Juiz de Fora (UFJF), Juiz de Fora, MG, Brazil

    Felipe G. Duque, Leonardo W. de Oliveira & Edimar J. de Oliveira

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  1. Felipe G. Duque
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  2. Leonardo W. de Oliveira
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  3. Edimar J. de Oliveira
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Correspondence to Felipe G. Duque.

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Duque, F.G., de Oliveira, L.W. & de Oliveira, E.J. An Approach for Optimal Allocation of Fixed and Switched Capacitor Banks in Distribution Systems Based on the Monkey Search Optimization Method. J Control Autom Electr Syst 27, 212–227 (2016). https://doi.org/10.1007/s40313-015-0225-z

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  • DOI: https://doi.org/10.1007/s40313-015-0225-z

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