A survey of big bang big crunch optimisation in power systems. (March 2022)

• Record Type: Journal Article
• Authors: Mbuli, N.; Ngaha, W.S.
• Is Part Of: Renewable & sustainable energy reviews. Volume 155(2022)
• Publication Date: 2022-03
• Subjects: Big bang big crunch -- Controllers -- Distributed generation (DG) -- Generation dispatch -- Maximum power point tracking -- Optimal power flow -- Reconfiguration; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.rser.2021.111848
• Languages: English
• ISSNs: 1364-0321

Abstract

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. Highlights: Relevant publications were identified, reviewed, summarised and categorised. They focus on optimisation problems in generation, transmission, & distribution. Several variants and hybrids of BBBC are discussed. Efficiency of BBBC is compared to that of alternative algorithms and techniques. Possible future areas where BBBC algorithm can be utilised are explored.