Determining firefly ideal parameter for tuning Kp, Ki, And Kd parameter in photovoltaic application

Abstract

The Firefly Algorithm (FA) method is presented inspired by the social behavior of fireflies and the phenomenon of bioluminescent communication. There are three FA parameters used in the program, beta is used to determine firefly speed, alpha is used for flexibility of movement, and gamma is used for more complex constraints or problems. In this dual axis photovoltaic tracking study using the beta value determination. By changing the Bêta value from 0.1 to 0.9. From the results of 10 models, it was found that the PID constant values were varied. On the horizontal axis, the best results if the beta is given at 0.4 and the worst result if the beta is given at 0.8. On the vertical axis, the best results if the beta is given at 0.3 and the worst result if the beta is given at 0.8.

Hybrid System of Dual Axis Photovoltaic Tracking System Using Pid-Ces-Aco

“…Several artificial intelligence methods have been carried out to obtain optimization of various systems, optimization of micro hydro [4], wind turbines [7] [8], water level control [9], vehicle steering control [10] [11], and other system optimizations. Artificial intelligence methods that are often used include Fuzzy Logic [12], Firefly Algorithm [13], Ant Colony Optimization (ACO) [14], Bat Algorithm (BA) [2], Imperalis Competitive Algorithm (ICA) [15], and Particle swarm Optimization (PSO) [16]. Using Power Point Tracking (MPPT).…”

Hybrid System of Dual Axis Photovoltaic Tracking System Using ANFIS-ACO

“…Several artificial intelligence methods have been carried out to obtain optimization of various systems, optimization of micro hydro [4], wind turbines [5] [6], water level control [7], vehicle steering control [8][9], and other system optimizations. Artificial intelligence methods that are often used include Fuzzy Logic [10], Firefly Algorithm [11], Ant Colony Optimization (ACO) [12], Bat Algorithm (BA) [2], Imperials Competitive Algorithm (ICA) [13], Particle swarm optimization (PSO) [14], and ANFIS [7]. Using PowerPoint Tracking (MPPT).…”