2016
DOI: 10.1016/j.isatra.2016.04.021
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Design of a fractional order PID controller using GBMO algorithm for load–frequency control with governor saturation consideration

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Cited by 130 publications
(51 citation statements)
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“…Javad et al carried out work in AGC using FO PID controller for a multiarea multisource system with consideration of nonlinearities GRC and GDB. Zamani et al proposed the use of FO PID controller for mitigating system deviations for a 2‐area AGC system in the presence of generation saturation limit. Ismayil et al applied FO PID controller for a single‐area AGC system with nonreheat turbines.…”
Section: Introductionmentioning
confidence: 99%
“…Javad et al carried out work in AGC using FO PID controller for a multiarea multisource system with consideration of nonlinearities GRC and GDB. Zamani et al proposed the use of FO PID controller for mitigating system deviations for a 2‐area AGC system in the presence of generation saturation limit. Ismayil et al applied FO PID controller for a single‐area AGC system with nonreheat turbines.…”
Section: Introductionmentioning
confidence: 99%
“…The proportion integral derivative (PID) controllers, due to their simple structure and easy to implementation, were widely utilized to design load frequency controllers. In [18][19][20][21], controller parameter selections are posed as a multi-objective constraints problem and solved by optimization algorithms, but the robust stability and robust performance of PID controllers are not satisfactory. In [22,23], fuzzy methods are utilized to design a frequency controller to keep the micro-grid frequency stable, and this method has better performance robustness towards system parameter perturbations, but the control precision cannot be guaranteed because of the fuzziness of this method.…”
Section: Introductionmentioning
confidence: 99%
“…A nonlinear controller is suggested by Su in 2005 which enhances the performance of the standard linear PID controller [8]. The PID controllers are also combined with fuzzy logic [9][10][11][12], neural networks [13][14][15][16], or implemented based on fractional order [17][18][19]. This paper proposes a nonlinear controller known as Improved nonlinear state error feedback controller.…”
Section: Introductionmentioning
confidence: 99%