A survey of big bang big crunch optimisation in power systems

N. Mbuli and W.S. Ngaha

Renewable and Sustainable Energy Reviews, 2022, vol. 155, issue C

Abstract: Big Bang Big Crunch (BBBC) is a metaheuristic algorithm that was first published in 2006 and has since been applied in solving a variety of optimisation problems. In this paper, the authors present a survey of the use of BBBC for solving power system optimisation problems. The survey established that the BBBC has been used extensively in studying a broad variety of power system problems. In addition to the standard BBBC algorithm, researchers have introduced several variants and hybrids of the BBBC with a view to expanding its capability to solve particular problems and/or improve the quality of the solutions obtained. The type of power system optimisation problems that the BBBC algorithm has been used to solve is broad, spanning generation, transmission, and distribution. In many publications, researchers have reported the efficiency of the BBBC algorithm in solving the optimisation problems, and have found it to outperform many competing techniques in terms of the optimal values of the objective function obtained and the speed of convergence to the optimal solution.

Keywords: Big bang big crunch; Controllers; Distributed generation (DG); Generation dispatch; Maximum power point tracking; Optimal power flow; Reconfiguration (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)

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DOI: 10.1016/j.rser.2021.111848

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