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Optimal Loss Reduction and Reconfiguration of Distribution System with Distributed Generation Using Harmony Search Algorithm

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Book cover Swarm, Evolutionary, and Memetic Computing (SEMCCO 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8947))

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Abstract

Recently, to enhance the power system performance, integration of DGs at distribution level and the rearrangement of feeders in distribution network is done. This paper presents a harmony search algorithm approach for the reconfiguration of radial distribution system with distributed generation (DG). The DG placement problem and reconfiguration problem is formulated as a non-linear optimization problem with the objective of loss minimization and voltage profile improvement. Particle swarm optimization (PSO) algorithm is used to find the optimal location and sizing of multiple DGs. To find the optimal set of feeders to be opened, harmony search algorithm (HSA) is proposed. The proposed approaches are tested on IEEE 33 bus radial distribution system using MATLAB and the results are presented.

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Authors and Affiliations

  1. EEE Department, Latha Mathavan Engineering College, Madurai, Tamilnadu, India

    S. Muthubalaji

  2. EEE Department, Anna University Regional Office, Madurai, Tamilnadu, India

    V. Malathi

Authors
  1. S. Muthubalaji
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  2. V. Malathi
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Corresponding author

Correspondence to S. Muthubalaji .

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Editors and Affiliations

  1. Department of Electrical Engineering, IIT, New Delhi, India

    Bijaya Ketan Panigrahi

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Ponnuthurai Nagaratnam Suganthan

  3. Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India

    Swagatam Das

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Muthubalaji, S., Malathi, V. (2015). Optimal Loss Reduction and Reconfiguration of Distribution System with Distributed Generation Using Harmony Search Algorithm. In: Panigrahi, B., Suganthan, P., Das, S. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2014. Lecture Notes in Computer Science(), vol 8947. Springer, Cham. https://doi.org/10.1007/978-3-319-20294-5_27

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  • DOI: https://doi.org/10.1007/978-3-319-20294-5_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20293-8

  • Online ISBN: 978-3-319-20294-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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