Application of policy iteration technique based adaptive optimal control design for automatic voltage regulator of power system

Prasad, Lal Bahadur; Gupta, Hari Om; Tyagi, Barjeev

doi:10.1016/j.ijepes.2014.06.057

Cited by 30 publications

(10 citation statements)

References 27 publications

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“…The variables named K P , K I and K D in PID controller and K P , K I , K D , and µ in FOPID controller are tuned by proposed algorithm, keeping in view minimum objective function in Eq. (24). The best agent is selected in each iteration with minimum objective function, and over the course of iterations, the best position is evaluated and ranking of agents are done.…”

Section: Overview Of Mfo Algorithmmentioning

confidence: 99%

“…on LFC and AVR loop [24][25][26][27][28][29][30][31][32][33][34][35][36][37] independently. Because the prime mover time constant is much higher than the excitation system time constant, the transients in the excitation system settle down quickly and never influence the LFC dynamics.…”

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confidence: 99%

“…Similarly, adaptive optimal control design for AVR is proposed in Ref. [24]. PID controllers have wide application in industries on account of its simple concept and robustness.…”

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confidence: 99%

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Combined load frequency and terminal voltage control of power systems using moth flame optimization algorithm

Lal

Barisal

2019

Journal of Electrical Systems and Inf Technol

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IntroductionStability of nominal frequency and voltage level in an electric power system is the primary control issue of practicing engineers. Any deterioration in these two parameters will affect the performance and life expectancy of the associated machinery to the power system. In power system, controllers are installed and set for a specific working situation and deal with small variations in load demand to keep the frequency and terminal voltage magnitude within the permissible limits. Therefore, two numbers of loops are provided for each generator. The load frequency control (LFC) loop regulates the real power and frequency, whereas the automatic voltage regulator (AVR) loop takes care of the reactive power and voltage magnitude [1,2]. Earlier, researchers have done a study Abstract Stability of nominal frequency and voltage level in an electric power system is the primary control issue of practicing engineers. Any deterioration in these two parameters will affect the performance and life expectancy of the associated machinery to the power system. Hence, controllers are installed and set for a specific working situation and deal with small variations in load demand to keep the frequency and terminal voltage magnitude within the permissible limits. As the system performance can be improved with selecting suitable controller, an attempt has been made to design fractional-order PID (FOPID) controller for combined frequency and voltage control problems. This paper presents plan and execution examination of FOPID controller for simultaneous load frequency and voltage control of power system using recently developed nature-motivated powerful optimization technique, i.e., moth flame optimization algorithm. The first part of the present work demonstrates the implementation of the proposed technique on frequency stabilization of isolated power system with AVR for excitation voltage control. The superiority and effectiveness of the proposed approach are tested by comparing the dynamic response of the system with PID controllers optimized by other intelligent techniques. Then the present work is extended to multi-unit two-area power system. The tuning ability of the algorithm is extensively and comparatively investigated.

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Section: Overview Of Mfo Algorithmmentioning

confidence: 99%

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confidence: 99%

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Combined load frequency and terminal voltage control of power systems using moth flame optimization algorithm

Lal

Barisal

2019

Journal of Electrical Systems and Inf Technol

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“…So, the high performance of the AVR system depends on the controlling mechanism. Many control techniques have been used for controlling the voltage such as the proportional‐integral‐derivative (PID) controller [3–11], fuzzy logic, neural networks, and adaptive control [12–17]. The PID controller is used widely in small and large industrial applications due to its simple structure in implementation.…”

Section: Introductionmentioning

confidence: 99%

“…In [4], another technique based on the genetic algorithm (GA) is applied to find the parameters of the PID controller. Furthermore, a GA with fuzzy logic is used in [5], particle swarm optimization (PSO) with gravitational search algorithm (GSA) introduced in [6], PSO [7,8], improved PSO [9], and other optimization algorithms to tune the PID controller are suggested in [10–17]. All these tuning algorithms are similar and give a good performance.…”

Section: Introductionmentioning

confidence: 99%

Optimal design of non‐fragile PID controller

Elsisi

2019

Asian Journal of Control

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This paper solves the controller gains uncertainty problem, which may lead to undesirable responses and an unstable system when implemented. A non‐fragile or resilient controller can overcome this problem. The paper suggests a new method to design a non‐fragile proportional‐integral‐derivative (PID) controller for voltage regulation. This method is carried out by applying a constrained genetic algorithm (GA) as a powerful optimization technique to determine the optimal gains of the PID controller. In addition, new developed conditions from the Routh– Kharitonov theorem are taken into account during the optimization operation to ensure system stability and system response. A new time domain objective function is proposed to establish the optimal permissible limits of controller gains to ensure a constraint of good response. The results of the proposed non‐fragile PID controller are compared with the non‐constrained GA‐based PID controller, artificial bee colony (ABC) algorithm‐based PID controller, and Ziegler Nichols (ZN)‐based PID controller. This achieves better results compared with different methods. The controller gains uncertainties test is applied to ensure the non‐fragility of the proposed controller. Furthermore, the system parameters variation test is applied to check the robustness of the controller based on the suggested method. The designed PID controller by this method is more resilient and less design time is required. The proposed controller and the system are carried out and studied by utilizing MATLAB/Simulink.

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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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Application of policy iteration technique based adaptive optimal control design for automatic voltage regulator of power system

Cited by 30 publications

References 27 publications

Combined load frequency and terminal voltage control of power systems using moth flame optimization algorithm

Combined load frequency and terminal voltage control of power systems using moth flame optimization algorithm

Optimal design of non‐fragile PID controller

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

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