Comparison of performances of several Cuckoo search algorithm based 2DOF controllers in AGC of multi-area thermal system

Damping Force Control of A Semi-active Suspension System Using Cuckoo Search Optimized PID Method

“…In order to find the optimum PID gains, the CS algorithm is proposed to further optimize the PID controller. The basic action of the CS algorithm is to get a new population P' with P by carrying out three important rules: 1) Every cuckoo lays one egg only and is dumped in a arbitrarily chosen nest; 2) The best nests with eggs of high fitness take along the potential solution and are moved onto a next generation; 3) Number of available hosts is finite and a host can become aware of an alien egg with a probability that is from 0 to 1 [6,7].…”

“…7 can explain that the Lévy flight complies with the Lévy distribution with an limitless variance and limitless mean [6]. Determination of the PID gains using CS.…”

“…Taking this point a step further, modern optimization algorithm is considered. Cuckoo search, as one of the modern optimization techniques with more efficient randomization property (with the use of Levy flight) and fewer parameters (population size and discovery probability only), has been proved to achieve more robust performance than other famous techniques, such as genetic algorithms, particle swarm optimization and artificial bee colony algorithm in PID controller optimization [6,7]. Therefore, a CS-based optimal PID (CS-PID) controller is developed for the SAS system.…”

Hybrid BFPSO Approach for Effective Tuning of PID Controller for Load Frequency Control Application in an Interconnected Power System

“…Further, the least fitness value among J local is computed as J global and corresponding positional value is termed as P global . Certain velocity, which progressively gets close to P local and P global is then calculated (8) and the current position can be modified (9) for the next iteration employing this velocity.…”

AGC of a multi-area multi-source hydrothermal power system interconnected via AC/DC parallel links under deregulated environment

“…Various aspects of AGC of conventional interconnected power systems are discussed in . Several control strategies, like optimal control [4,5,[8][9][10][11][12], variable structure control [11,12], continuous-discrete mode control [13], sliding mode [14], beta wavelet artificial neural networks [15], differential evolution [16], non-dominated sorting genetic algorithm-II [17], bacteria foraging [18,19], hybrid bacterial foraging-particle swarm optimization [19], craziness based particle swarm optimization [20], teaching-learning technique [14,21], fuzzy logic control [21][22][23][24][25], bat algorithm [23], big bang-big crunch [24], quasi-oppositional harmony search [25], cuckoo search algorithm [26,27] and firefly algorithm [28] are applied to design various AGC controllers for different single and multi-area interconnected conventional electrical power systems.…”