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Optimal setting of TCSCs in power systems using teaching–learning-based optimisation algorithm

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Abstract

Teaching–learning-based optimisation (TLBO) is an emerging gradient-free optimisation algorithm inspired by interactions between students and teacher in classrooms. TLBO has no control parameter to be tuned by user. This property makes it popular in research community. It has been successfully applied to challenging optimisation problems in different areas. In this study, TLBO is assisted to find optimal setting of thyristor-controlled series compensators in electric power systems. The experiments have been done for both N-1 and N-2 line outage contingencies. The results show that TLBO performs well in solving this problem.

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Authors and Affiliations

  1. Department of Electrical Engineering, University Putra Malaysia (UPM), 43400, Serdang, Selangor, Malaysia

    A. Rezaee Jordehi

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  1. A. Rezaee Jordehi
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Correspondence to A. Rezaee Jordehi.

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Rezaee Jordehi, A. Optimal setting of TCSCs in power systems using teaching–learning-based optimisation algorithm. Neural Comput & Applic 26, 1249–1256 (2015). https://doi.org/10.1007/s00521-014-1791-x

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  • DOI: https://doi.org/10.1007/s00521-014-1791-x

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