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Multi-area economic dispatching using improved grasshopper optimization algorithm

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Abstract

In this study a new optimization algorithm is presented to solve the multi-area economic dispatching (MAED) problem. The studied system includes the tie-line constraints including transmission losses, prohibited operating zones, multiple fuels, and valve-point loading. For optimized solving the MAED algorithm, grasshopper optimization algorithm (GOA) is utilized. GOA is a newly introduced swarm-based optimization algorithm that is inspired by the swarming behavior of the grasshopper insects. For validating the proposed method, it is compared with three different case studies and the results have been compared with some different meta-heuristics such as particle swarm optimization, artificial bee colony, evolutionary programming, and differential evolution to demonstrate the capability of the presented system to solve the MAED problems.

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Authors and Affiliations

  1. Department of Business Administration, Weifang University of Science and Technology, Shouguang, 262700, China

    Peng Zhang, Weiwei Ma & Yanli Dong

  2. Department of Industrial Engineering, Ankara Yıldırım Beyazıt University (AYBU), 06010, Ankara, Turkey

    Babak Daneshvar Rouyendegh

Authors
  1. Peng Zhang
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  2. Weiwei Ma
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  3. Yanli Dong
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  4. Babak Daneshvar Rouyendegh
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Correspondence to Peng Zhang.

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Zhang, P., Ma, W., Dong, Y. et al. Multi-area economic dispatching using improved grasshopper optimization algorithm. Evolving Systems 12, 837–847 (2021). https://doi.org/10.1007/s12530-019-09320-6

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