Improving power system damping using a combination of optimal control theory and differential evolution algorithm

Reliability reallocation for cost uncertainty of fuel cell vehicles via improved differential evolution algorithm

“…DE is essentially an unconstrained optimization algorithm. The evolutionary process of DE includes population initialization, mutation, crossover, and selection operations . The population size is 50, the initial variation factor is 0.50, and the crossover factor is 0.90.…”

Optimal design of power system stabilizer for multimachine power system using farmland fertility algorithm

“…Recently, intelligent metaheuristic optimization technique has grown and gain attention due to its superiority in solving complex high dimension, nonlinear, nondifferentiable, nonconvex, and multimodal real world problems. 15,16 Various metaheuristic optimization technique such as differential evolution (DE), 17 evolutionary programming (EP) 18 genetic algorithm (GA), 19 particle swarm optimization (PSO), 20 whale optimization algorithm (WOA), 21 salp swarm algorithm (SSA), 22 kidney-inspired algorithm (KA), 23 grasshopper optimization algorithm (GOA), 13 bacteria foraging optimization (BF), 24 sine cosine algorithm (SCA), 25 BAT algorithm (BA), 26 cuckoo search optimization (CSO), 27 artificial bee colony (ABC), 28 general relativity search algorithm (GRSA) 29 and others were developed for multimachine PSSs design. These algorithms provides good performance in to the problem of PSSs design.…”

Intelligent coordinators for automatic voltage regulator and power system stabiliser in a multi‐machine power system

“…In [10], optimisation of PSS gains and a unified power flow controller was considered to improve the stability. In [11, 12], static var compensator and thyristor‐controlled series capacitors, respectively, were considered with the AVR and PSS controllers. However, adding a new device such as ESS or FACTS to improve the stability is not an economic solution.…”