Grey Wolf Optimization Algorithm based PID controller design for AVR Power system

2019 ◽  
Author(s):  
Rvindra kumar Kuri ◽  
Deepak Paliwal ◽  
D. K. Sambariya
Keyword(s):  
Power System ◽  
Optimization Algorithm ◽  
Pid Controller ◽  
Controller Design ◽  
Grey Wolf ◽  
Grey Wolf Optimization ◽  
Pid Controller Design

Grey wolf optimization for PID controller design with prescribed robustness margins

2016 ◽  
Vol 20 (11) ◽  
pp. 4243-4255 ◽  
Author(s):  
P. B. de Moura Oliveira ◽  
Hélio Freire ◽  
E. J. Solteiro Pires
Keyword(s):  
Pid Controller ◽  
Controller Design ◽  
Grey Wolf ◽  
Grey Wolf Optimization ◽  
Pid Controller Design

Grey Wolf Optimization to Solve Load Frequency Control of an Interconnected Power System

2016 ◽  
Vol 5 (4) ◽  
pp. 62-83 ◽  
Author(s):  
Dipayan Guha ◽  
Provas Kumar Roy ◽  
Subrata Banerjee
Keyword(s):  
Power System ◽  
Pid Controller ◽  
Frequency Control ◽  
Thermal Power ◽  
Load Frequency Control ◽  
Fine Tuning ◽  
Average Error ◽  
Grey Wolf ◽  
Grey Wolf Optimization ◽  
Load Frequency

In this article, a novel optimization algorithm called grey wolf optimization (GWO) with the theory of quasi-oppositional based learning (Q-OBL) is proposed for the first time to solve load frequency control (LFC) problem. An equal two-area thermal power system equipped with classical PID-controller is considered for this study. The power system network is modeled with governor dead band and time delay nonlinearities to get better insight of LFC system. 1% load perturbation in area-1 is considered to appraise the dynamic behavior of concerned power system. Integral time absolute error and least average error based fitness functions are defined for fine tuning of PID-controller gains employing the proposed method. An extensive comparative analysis is performed to establish the superiority of proposed algorithm over other recently published algorithms. Finally, sensitivity analysis is performed to show the robustness of the designed controller with system uncertainties.

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