PID controller for automatic voltage regulator using teaching–learning based optimization technique

Chatterjee, Shamik; Mukherjee, V.

doi:10.1016/j.ijepes.2015.11.010

Cited by 187 publications

(100 citation statements)

References 17 publications

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“…In the past literature, the separate investigations on ALFC and AVR had been carried out in interconnected power system without considering the cross‐coupling of ALFC and AVR . A very few authors studied the combined ALFC‐AVR system under conventional environment in the recent literatures .…”

Section: Introductionmentioning

confidence: 99%

“…Authors proposed integral (I), proportional plus integral (PI), proportional plus integral plus derivative (PID), and FOPID controller in ALFC problem under conventional and deregulated environment . Few controllers such as PID, PID plus double derivative, and FOPID had been reported in the study of AVR system. For combined ALFC‐AVR system, I, PI, and PID were applied.…”

Section: Introductionmentioning

confidence: 99%

“…Optimization technique plays an important role to find the optimal controller parameters. In previous literature, authors reported some optimization techniques like cuckoo search algorithm (CSA), teaching learning–based optimization, particle swarm optimization (PSO), bacteria foraging algorithm for the analysis of ALFC, and AVR. Very limited optimization techniques such as PSO and simulated annealing were used in combined ALFC‐AVR system.…”

Section: Introductionmentioning

confidence: 99%

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Performance of coordinated interline power flow controller and power system stabilizer in combined multiarea restructured ALFC and AVR system

Rajbongshi

Saikia

2019

Int Trans Electr Energ Syst

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Summary This article analyzed the performance of coordinated interline power flow controller (IPFC) and power system stabilizer (PSS) in the combined two‐area restructured automatic load frequency control (ALFC) and automatic voltage regulator (AVR) system. Each area of the system has three generating companies as reheat thermal, wind, and diesel and three distribution companies (DISCOs). Appropriate physical constraints are included in thermal plant. Proportional plus fractional integral plus derivative with filter (PIλDF) controller is introduced as secondary controller for both ALFC and AVR loop. Lightning search algorithm is employed for optimization of the parameters of controller as well as PSS. The control performance of the proposed controller is compared with some classical integer‐order controllers and reflects the dominance of the former over others with less peak deviation, settling time, and figure of demerit in all three transactions of restructured power system. The investigation of the impact of combined controlling action of IPFC and PSS reveals that the integration of the same improves the system dynamics effectively than the individual inclusion of IPFC and PSS. The coordinated IPFC‐PSS provides less peak deviation, oscillation, as well as faster settling time and enhances the system performance. The sensitivity analysis of PIλDF controller and PSS parameters for different DISCO participation matrix and amount of contract violation derived the robustness of the same.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Performance of coordinated interline power flow controller and power system stabilizer in combined multiarea restructured ALFC and AVR system

Rajbongshi

Saikia

2019

Int Trans Electr Energ Syst

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“…Fractional order proportional integral derivative (FOPID) controllers are being used in different fields of engineering, such as stabilizing fractional order time delay systems, automatic voltage regulator system, etc. Several optimization techniques plays an important role to find the optimal controller parameters, for example, Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Bacterial Foraging Optimization (BFO), Krill Herd Algorithm (KHA), and Teaching Learning Based Optimization (TLBO) ) algorithm have been planned to resolve the control parameters of a several standard controllers to solve the AGC problem [9][10][11][12]. A later intense meta-heuristic algorithm called Lightning Search Algorithm (LSA) is a great and adaptable advancement strategy that was propelled by the characteristic wonder of lightning [13,14].…”

Section: Introductionmentioning

confidence: 99%

“…ℎ (4) ∆12 vanishes in the steady as the actual tie-line power flow reaches the scheduled power flow. This error signal is used to generate the respective Area Control Error (ACE) signals as in the traditional scenario[3].…”

mentioning

confidence: 99%

Fractional Order Pid Controller for Agc Loop of a Two-Area Solar-Thermal Deregulated Power System With RFB and Ipfc Unit

Baskar¹,

Paramasivam²

2019

IJEET

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This paper presents the Fractional Order Proportional-Integral-Derivative (FOPID) controller for Automatic Generation Control (AGC) of an interconnected twoarea solar-thermal deregulated power system. In this investigation, the thermal plants are considered with reheat tandem compound steam turbine rather than steam turbine dynamic model parameters are thought to be consistent. Concentrated solar power can store vitality in the type of thermal energy. The stored thermal energy can be utilized to produce electricity in the absence of solar irradiance. Thus, AGC of a multi-area power system incorporating solar thermal power plant (STPP) is vital for these examinations. A FOPID controller is an established PID aside from its derivative and integral orders are fractional numbers in place of being integers. The control parameters of FOPID controller are tuned utilizing Lightning Search Algorithm (LSA) and its execution is contrasted and Proportional-Integral (PI), Proportional-Integral-Derivative (PID) controllers based AGC loop. A sophisticated application of Redox Flow Batteries (RFB) coordinates with Interline Power Flow Controller (IPFC) for the improvement of AGC loop of a two-area solar-thermal power system is also considered. Simulation reveals that the proposed FOPID controller tuned with LSA algorithm liven up the dynamic output response of the test system as far as less pinnacle deviation and settling time of area frequencies and tie-line power oscillations in various exchanges of the deregulated power system. The execution of the RFB and IPFC unit captures the underlying fall in frequency and additionally the tie-line power deviations after a sudden load unsettling influence.

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Equilibrium optimizer tuned novel FOPID‐DN controller for automatic voltage regulator system

Paliwal

Srivastava

Pandit

2021

Int Trans Electr Energ Syst

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Summary This paper presents a novel fractional‐order PID plus derivative with filter coefficient (FOPID‐DN) controller for automatic voltage regulator (AVR) system using the MATLAB/Simulink environment. An AVR system is employed in the power system to maintain the terminal voltage at the desired level. Parameters of the proposed FOPID‐DN controller are optimally tuned by the recently developed Equilibrium Optimizer (EO) algorithm. Performance of the designed FOPID‐DN controller for an AVR system is compared with various controllers which are optimally tuned by different optimization algorithms. Comparative transient response analysis of the proposed technique has been carried out by considering vital transient response indicators like maximum overshoot, rise time, and settling time. Performance analysis of the proposed technique for an AVR system has been done by considering several input conditions. Robustness analysis of the EO algorithm tuned FOPID‐DN controller has been performed by varying the time constants of different components in an AVR system. The capability of the FOPID‐DN controller to handle nonlinearities of an AVR system has been investigated. The stability of the FOPID‐DN controlled AVR system has been analyzed. In addition, the disturbance rejection capability of the FOPID‐DN controlled AVR system has also been investigated. From the various simulation results obtained using the MATLAB/Simulink environment, it has been observed that the proposed FOPID‐DN‐based AVR system provided better performance as compared to different existing controllers.

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PID controller for automatic voltage regulator using teaching–learning based optimization technique

Cited by 187 publications

References 17 publications

Performance of coordinated interline power flow controller and power system stabilizer in combined multiarea restructured ALFC and AVR system

Performance of coordinated interline power flow controller and power system stabilizer in combined multiarea restructured ALFC and AVR system

Fractional Order Pid Controller for Agc Loop of a Two-Area Solar-Thermal Deregulated Power System With RFB and Ipfc Unit

Equilibrium optimizer tuned novel FOPID‐DN controller for automatic voltage regulator system

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