A novel optimized hybrid fuzzy logic intelligent PID controller for an interconnected multi-area power system with physical constraints and boiler dynamics

Haroun, A. H. Gomaa; Li, Yinya

doi:10.1016/j.isatra.2017.09.003

Cited by 69 publications

(34 citation statements)

References 31 publications

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“…The GRC for the hydro and thermal utilities as well as the GDB for the thermal plants in both control areas are addressed in the system model. Referring to Reference [4], the Fourier coefficients of the governor dead band (GDB) are taken as N 1 = 0.8 and N 2 = −0.2/π. A suitable GRC model of 10%/minute for the thermal utility of Figure 1 is applied to both raising and falling rates.…”

Section: Mathematical Modelling Of Investigated Power Systemmentioning

confidence: 99%

“…From Figure 1, the input to the controller is their respective ACEs, and the output is the signal u i . Based on References [3,4], the area control errors (ACEs) of both areas can be formulated as:…”

Section: G1mentioning

confidence: 99%

“…Then adjust the valve settings of generators accordingly, so as to maintain ACE at its minimum value. The main objective of LFC is to regulate power produced from various utilities in each area such that the frequency and tie-line power are kept within stated limits [2,4].…”

Section: Introductionmentioning

confidence: 99%

“…Thus, the designed controller for such power systems must overcome these limitations. So far, several control strategies like a fuzzy logic controller, optimal control, adaptive control, self-tuning control, robust, intelligent control and storage devices, and so forth, have been proposed for the power plant to ameliorate the dynamic performances under load perturbations (LPs) and parameter variations [2,4,[6][7][8][9][10][11][12]. A Feedback controller strategy based on battery storage is proposed for the frequency stabilization of the island wind power plant to predict the power balance variations [8].…”

Section: Introductionmentioning

confidence: 99%

“…As a result, several researchers have proposed the different design architectures of FLCs and applied to several systems among which some of them are considered in the following. A novel hybrid FLC based intelligent proportional-integral-derivative (PID) (FLiPID) controller is proposed for load frequency stabilization of interconnected large-scale power plant with the consideration of nonlinearities [4]. In Reference [10], the authors designed a controller based on a fuzzy PID controller to solve the LFC problem for interconnected power plants, where the controller gains are tuned via the Firefly algorithm (FA).…”

Section: Introductionmentioning

confidence: 99%

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Ant Lion Optimized Fractional Order Fuzzy Pre-Compensated Intelligent Pid Controller for Frequency Stabilization of Interconnected Multi-Area Power Systems

Haroun

2019

ASI

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Load frequency control (LFC) is considered to be the most important strategy in interconnected multi-area power systems for satisfactory operation and distribution. In order to transfer reliable power with acceptable quality, an LFC mechanism requires highly efficacy and intelligent techniques. In this paper, a novel hybrid fractional order fuzzy pre-compensated intelligent proportional-integral-derivative (PID) (FOFP-iPID) controller is proposed for the LFC of a realistic interconnected two-area power system. The proposed FOFP-iPID controller is incorporated into the power system as a secondary controller. In doing so, the parameters of the suggested FOFP-iPID controller are optimized using a more recent evolutionary computational technique called the Ant lion optimizer (ALO) algorithm utilizing an Integral of Time multiplied Absolute Error (ITAE) index. Simulation results demonstrated that the proposed FOFP-iPID controller achieves better dynamics performance under a wide variation of load perturbations. The supremacy of the proposed FOFP-iPID controller is demonstrated by comparing the results with some existing controllers, such as fractional order PID (FOPID) and fractional order intelligent PID (FOiPID) controllers for the identical system. Finally, the sensitivity analysis of the plant is examined and the simulation results showed that the suggested FOFP-iPID controller is robust and performs satisfactorily despite the presence of uncertainties.

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Section: Mathematical Modelling Of Investigated Power Systemmentioning

confidence: 99%

Section: G1mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Ant Lion Optimized Fractional Order Fuzzy Pre-Compensated Intelligent Pid Controller for Frequency Stabilization of Interconnected Multi-Area Power Systems

Haroun

2019

ASI

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Automatic generation control of small hydro plants integrated multi‐area system using fuzzy based symbiotic organism search optimized hybrid PI ^λ D fuzzy‐PI ^λ D controller

Nayak

Shaw

Sahu

2021

Int Trans Electr Energ Syst

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Summary In a complex power system, the power quality in terms of reliability and stability is highly influenced by generation regulation. The frequency or power deviation caused by the imbalance between generation and load can be minimized by automatic generation control (AGC). For this purpose, a new hybrid PIλD‐Fuzzy PIλD (hPIλD‐FPIλD) controller is introduced by concocting the property of both PIλD and Fuzzy PIλD controllers. A fuzzy based Symbiotic Organism Search (FSOS) is proposed by using fuzzy inference system to decide some parameters of the SOS algorithm. The renewable energy source such as small hydro plant (SHP) integrated with power system (Two area thermal‐hydro‐nuclear and three area thermal system) are considered. The proposed approaches (hPIλD‐FPIλD and FSOS) are substantiated by contributing improved performance of SHP and power systems integrated with SHP. The impact of hPIλD‐FPIλD, FSOS, and SHP in the power system is demonstrated in three test systems. The efficacy of the proposed hPIλD‐FPIλD controller is demonstrated with improves responses of second, third, and fourth order systems. The proposed algorithm (FSOS) is demonstrated by solving nine benchmark equations. Further, sensitivity and robustness analysis of the system with and without SHPs are observed by varying some parameters of the system. The evidence to validate the superiority of proposed approaches is achieved from the simulation analysis.

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Discrete‐time extended state observer‐based model‐free adaptive constrained sliding mode control with modified prescribed performance via CFDL and PFDL

Huang,

Dong,

Zhang

et al. 2023

Asian Journal of Control

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To tackle the trajectory tracking problem and achieve high control accuracy in many actual nonlinear systems with unknown dynamics and input saturation, a novel discrete‐time extended state observer‐based model‐free adaptive constrained sliding mode control with modified prescribed performance is investigated via compact‐form dynamic linearization (CFDL) and partial‐form dynamic linearization (PFDL). Firstly, the original non‐affine system is turned into an affine one comprising an unknown nonlinear term and a linearly parametric term affine to the input via both PFDL and CFDL. Then, a discrete‐time extended state observer (DESO) is used to estimate the lumped disturbance containing the unknown nonlinear time‐varying term and the term relevant to the estimation error of pseudo partial derivative (PPD) parameter. Furthermore, a modified prescribed performance function is introduced in the model‐free adaptive sliding mode control scheme to keep the output tracking error in the prescribed bound without causing any asymmetric offset error in the steady‐state. Meanwhile, to suppress the influence of input saturation on the control system, an anti‐windup compensator is used. Finally, rigorous theoretical analyses show the robust convergence of the tracking error via the proposed CFDL and PFDL‐based methods under external disturbances. Simulations verify the superiority of the modified prescribed performance function, DESO, and anti‐windup compensator in the proposed method. Also, the effects of the PFDL‐based method and the CFDL‐based one are compared during the simulation.

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A novel optimized hybrid fuzzy logic intelligent PID controller for an interconnected multi-area power system with physical constraints and boiler dynamics

Cited by 69 publications

References 31 publications

Ant Lion Optimized Fractional Order Fuzzy Pre-Compensated Intelligent Pid Controller for Frequency Stabilization of Interconnected Multi-Area Power Systems

Ant Lion Optimized Fractional Order Fuzzy Pre-Compensated Intelligent Pid Controller for Frequency Stabilization of Interconnected Multi-Area Power Systems

Automatic generation control of small hydro plants integrated multi‐area system using fuzzy based symbiotic organism search optimized hybrid PI ^λ D fuzzy‐PI ^λ D controller

Discrete‐time extended state observer‐based model‐free adaptive constrained sliding mode control with modified prescribed performance via CFDL and PFDL

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A novel optimized hybrid fuzzy logic intelligent PID controller for an interconnected multi-area power system with physical constraints and boiler dynamics

Cited by 69 publications

References 31 publications

Ant Lion Optimized Fractional Order Fuzzy Pre-Compensated Intelligent Pid Controller for Frequency Stabilization of Interconnected Multi-Area Power Systems

Ant Lion Optimized Fractional Order Fuzzy Pre-Compensated Intelligent Pid Controller for Frequency Stabilization of Interconnected Multi-Area Power Systems

Automatic generation control of small hydro plants integrated multi‐area system using fuzzy based symbiotic organism search optimized hybrid PI λ D fuzzy‐PI λ D controller

Discrete‐time extended state observer‐based model‐free adaptive constrained sliding mode control with modified prescribed performance via CFDL and PFDL

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Automatic generation control of small hydro plants integrated multi‐area system using fuzzy based symbiotic organism search optimized hybrid PI ^λ D fuzzy‐PI ^λ D controller