Optimal power flow using the AMTPG-Jaya algorithm

This work proposes the implementation of a recently invented meta-heuristic optimization solver namely, an adaptive multiple teams perturbation-guiding Jaya (AMTPG-Jaya) technique to tackle with diverse single goal optimum power flow (OPF) forms. The AMTPG-Jaya solver employs numerous populations na...

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Bibliographic Details
Published inApplied soft computing Vol. 91; p. 106252
Main Author Warid, Warid
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.06.2020
Subjects
AMTPG-Jaya
Artificial intelligence
Meta-heuristic algorithms
Optimization
Optimum power flow
AMTPG-Jaya
Optimum power flow
Meta-heuristic algorithms
Artificial intelligence
Optimization
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Summary:This work proposes the implementation of a recently invented meta-heuristic optimization solver namely, an adaptive multiple teams perturbation-guiding Jaya (AMTPG-Jaya) technique to tackle with diverse single goal optimum power flow (OPF) forms. The AMTPG-Jaya solver employs numerous populations named as teams to investigate the search domain. Each team is guided by a number of movement equations (exploration pathways). The algorithm adjusts the number of teams along with the approaching to the finest so-far nominee solution. In this study, an original AMTPG-Jaya inspired approach to handle the OPF formulation is suggested. The efficacy of the AMTPG-Jaya solver is scrutinized and tested on two well-known standard power systems with different goal functions. The optimization outcomes reveal that the AMTPG-Jaya is able to reach an optimal solution with brilliant convergence speed. In addition, a robustness examination is implemented to evaluate the reliability of the AMTPG-Jaya solver. The simulation results disclose the dominance and potential of the AMTPG-Jaya over many solvers recently stated in the previous publications with regard to solution quality and validity. •A novel AMTPG-Jaya based scheme to cope with the OPF problem is developed.•The efficacy of the AMTPG-Jaya algorithm is scrutinized and tested on two well-known standard power systems.•A robustness study is performed to evaluate the reliability of the AMTPG-Jaya algorithm.•The simulation results disclose the dominance and potential of the AMTPG-Jaya over many solvers recently reported in the literature.
ISSN:1568-4946
1872-9681
DOI:10.1016/j.asoc.2020.106252