Nature-Inspired Algorithms Applications to Power System Optimization | ||
| Aswan University Journal of Sciences and Technology | ||
| Volume 1, Issue 1, June 2021, Pages 74-109 PDF (2.37 M) | ||
| Document Type: Review papers | ||
| DOI: 10.21608/aujst.2021.226479 | ||
| Authors | ||
| Tomonobu Senjyu1; Salem Alkhalaf* 2; Al-Attar Mohamed3 | ||
| 1Electrical Engineering Department, Faculty of Engineering, University of the Ryukyus, Japan. | ||
| 2Computer Sciences Department, Faculty of Arts and Sciences, Qassim University, Saudi Arabia | ||
| 3Electrical Engineering Department, Faculty of Engineering, Aswan University, Aswan, Egypt | ||
| Abstract | ||
| Nature has been evolving for several hundred million years, and it has found various ingenious solutions to problem-solving and adaption to ever-changing environments. From Darwinian evolution point of view, survival of the fittest will result in the variations and success of species, which can survive and optimally adapt to environments. Nature-inspired algorithms are still at a very early stage with a relatively short history, it has come up as a new era in comparing with many traditional methods; however, natureinspire algorithms have already shown their great potential, flexibility and efficiency with ever-increasing diverse ranges of applications. Nature is the best tutor and its designs and strengths are extremely massive and strange that it gives inspiration to us to imitate nature to solve hard and complex problems in power system. Different Algorithms are presented for solving power system optimization problems | ||
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