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Power Distribution Network Reconfiguration Using an Improved Sine–Cosine Algorithm-Based Meta-Heuristic Search

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Book cover Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 816))

Abstract

This paper proposes an improved sine–cosine algorithm for solving power distribution network reconfiguration (PDNR) problem. The sine–cosine algorithm is a recently proposed population-based meta-heuristic optimization algorithm which uses the mathematical sine and cosine functions for searching the solution space. The search procedure looks for the best solution by repeatedly making small changes to an initial solution until no further improved solutions are found. To maintain a balance between local and global search, four random variables (r1, r2, r3 and r4) are integrated into this algorithm. For applying this algorithm to the PDNR problem, some improvements are proposed in this meta-heuristic search algorithm along with a new data structure-based load flow method to minimize power loss as the single objective. The effectiveness of the proposed PDNR algorithm is tested by considering five standard test distribution systems (33, 69, 84, 119 and 136 buses).

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Authors and Affiliations

  1. International Institute of Information Technology, Bhubaneswar, Odisha, India

    Usharani Raut & Sivkumar Mishra

Authors
  1. Usharani Raut
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  2. Sivkumar Mishra
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Corresponding author

Correspondence to Sivkumar Mishra .

Editor information

Editors and Affiliations

  1. Department of Mathematics, South Asian University New Delhi , New Delhi, India

    Jagdish Chand Bansal

  2. Department of Mathematics, National Institute Of Technology Silchar Department of Mathematics, Silchar, Assam, India

    Kedar Nath Das

  3. Department of Mathematics and Computer Science, Faculty of Science, , Liverpool Hope University, Liverpool, UK

    Atulya Nagar

  4. Department of Mathematics, Indian Institute of Technology Roor Department of Mathematics, Roorkee, Uttarakhand, India

    Kusum Deep

  5. School of Basic Sciences, Indian Institute of Technology Bhubanesw School of Basic Sciences, Bhubaneswar, Odisha, India

    Akshay Kumar Ojha

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Raut, U., Mishra, S. (2019). Power Distribution Network Reconfiguration Using an Improved Sine–Cosine Algorithm-Based Meta-Heuristic Search. In: Bansal, J., Das, K., Nagar, A., Deep, K., Ojha, A. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 816. Springer, Singapore. https://doi.org/10.1007/978-981-13-1592-3_1

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