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Modified Grey Wolf Optimization Algorithm for Transmission Network Expansion Planning Problem

  • Research Article - Electrical Engineering
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Abstract

Transmission network expansion planning (TNEP) problem is a large-scale, complex mixed integer nonlinear programming problem. The solution of TNEP problem is essential to fulfill the load demand in an economical manner. A grey wolf optimization (GWO) algorithm which is a nature-inspired metaheuristic algorithm is used to solve the TNEP problem. Further, a modified GWO is developed, and to validate its result, it is tested on 20 standard benchmark test functions. The basic and modified version of GWO algorithms is applied to solve TNEP problem for Graver’s six-bus and Brazilian 46-bus systems. The obtained results are compared with other state-of-the-art algorithms. The results demonstrate the accuracy as well as proficiency of the proposed algorithm.

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Authors and Affiliations

  1. Rajasthan Technical University, Kota, India

    Ashish Khandelwal, Annapurna Bhargava & Harish Sharma

  2. Government Engineering College, Jhalawar, India

    Ajay Sharma

Authors
  1. Ashish Khandelwal
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  2. Annapurna Bhargava
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  3. Ajay Sharma
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  4. Harish Sharma
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Correspondence to Ashish Khandelwal.

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Khandelwal, A., Bhargava, A., Sharma, A. et al. Modified Grey Wolf Optimization Algorithm for Transmission Network Expansion Planning Problem. Arab J Sci Eng 43, 2899–2908 (2018). https://doi.org/10.1007/s13369-017-2967-3

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  • DOI: https://doi.org/10.1007/s13369-017-2967-3

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