Fractional‐order PID and internal model control‐based dual‐loop load frequency control using teaching–learning optimization

Veerendar, Tejavath; Kumar, Deepak; Sreeram, Victor

doi:10.1002/asjc.3022

Cited by 5 publications

(3 citation statements)

References 30 publications

(155 reference statements)

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“…been proposed, such as proportion integration differentiation (PID) control, predictive control, fuzzy control, and so on. In Veerendar et al (2023), a dual-loop control method was proposed by using teaching-learning optimization (TLO) for the LFC of a multi-area non-heating thermal power system (NRTPS), which prominently improved the response of the system. In Sharma et al (2022), a proportion integration (PI) controller was designed to determine the parametric uncertainty margin (PUM) to cope with problems caused by the changes of parameters.…”

Section: Introductionmentioning

confidence: 99%

Load frequency control of new energy power system based on adaptive global sliding mode control

Liang,

Jiaming,

Xinxin

2024

Front. Energy Res.

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Owing to the challenges of unstable generation and random load disturbance in new energy power system, this paper integrates the battery energy storage model into the traditional load frequency control (LFC) framework, and proposes a LFC scheme based on adaptive global sliding mode control to stabilize the frequency of power systems amid unpredictable load frequency deviation. First of all, the nonlinear time-varying function is added to the sliding mode surface to make the system globally robust. Then, an adaptive sliding mode control law is crafted to dynamically adjust the frequency variations caused by random load disturbance. Moreover, by utilizing the improved Lyapunov function and Bessel-Legendre inequality, the stabilization criteria of multi-area interconnected power system are built. Finally, the efficacy of the proposed method is demonstrated through single and double area LFC simulation experiments with the common system parameters.

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Section: Introductionmentioning

confidence: 99%

Load frequency control of new energy power system based on adaptive global sliding mode control

Liang,

Jiaming,

Xinxin

2024

Front. Energy Res.

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“…In addition, Sahu et al [30,31] proposed the robust T2 FPID controller to regulate the frequency and TLPE deviation of two-and five-area multiunit nonlinear PSs. Recently, TLBO and IMC-based LFC methods [32,33] are presented as dual-loop configurations incorporating FO-PID. Considering the above study, we show the motivation, research gap, objective, and contribution of the proposed work in the following subsections.…”

Section: Introductionmentioning

confidence: 99%

Maiden application of colliding bodies optimizer for load frequency control of two‐area nonreheated thermal and hydrothermal power systems

Veerendar

Kumar

Sreeram

2023

Asian Journal of Control

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This article presents a novel load frequency control (LFC) approach using colliding bodies optimizer (CBO) for frequency stabilization of interlinked multiarea electric power systems. The optimal parameters of the suggested CBO‐based proportional–integral–derivative‐filter controller ascertain an effective LFC solution. First, a well‐known and widely used linearized two‐area nonreheated thermal power system is examined to demonstrate the efficacy of the proposed approach. The effectiveness of the proposed method is analyzed by comparing the outcomes of several recently presented LFC schemes. The performance analysis shows a settling time improvement of 3.10%, 14.29%, and 18.66% in the case of area‐1 and area‐2 frequencies and tie‐line power deviations compared with an imperialist competitive algorithm (ICA)‐based controller. The robustness of the proposed scheme is also evaluated in the presence of various operating scenarios. Additionally, the work is extended to a two‐area nonreheated hydrothermal power system. The proposed method shows an improvement of over 60% in the performance index compared with several existing techniques‐based controllers such as optics‐inspired optimization, gray‐wolf optimization, quasi‐oppositional differential search algorithm, bacterial foraging optimization algorithm, and ICA.

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“…Articles [18,19] propose a novel method for estimating controller parameters of industrial processes, with [19] using a cascaded lag filter for lag-dominant processes. The implementation of FOPID controllers is reported in [20,21], where the controller parameters are determined with the teaching-learning optimization method and the Harris Hawks optimization algorithm, respectively. A multi-objective PID controller and a novel technique for maintaining the height of a QTS by reducing loop interactions with a feedback linearization controller are described in [22,23].…”

mentioning

confidence: 99%

Design of a decentralized control law for variable area coupled tank systems using H_∞ complimentary sensitivity function

K. R.,

Mahapatra,

Ranjan Mahapatro

2023

Asian Journal of Control

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This paper proposes a novel graphical approach to control the liquid levels of the different variable area coupled tank systems using a decentralized controller. The coupled tank systems are common benchmark systems that consist of two tanks interconnected with each other. The primary goal is to maintain the liquid level in the tank at the desired set point by controlling the flow rate. This is attained with a decentralized method wherein the controller values are obtained from the plane. Besides, the robust criteria is enforced to guarantee the robustness. The proposed controller design approach aims to improve the performance of the system in terms of disturbance rejection and tracking. The decentralized control structure uses a distributed control strategy, thereby reducing the computational load which leads to improving the control performance. The loop interactions are minimized with decouplers. Furthermore, first‐order plus dead‐time (FOPDT) models are derived for each of the decoupled subsystems. Besides, the servo and regulatory responses of the controller are verified with input and output disturbances. Additionally, the response of the controller to system uncertainties and parameter variations is also studied. The simulation results demonstrate the effectiveness and robustness of the proposed approach.

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Fractional‐order PID and internal model control‐based dual‐loop load frequency control using teaching–learning optimization

Cited by 5 publications

References 30 publications

Load frequency control of new energy power system based on adaptive global sliding mode control

Load frequency control of new energy power system based on adaptive global sliding mode control

Maiden application of colliding bodies optimizer for load frequency control of two‐area nonreheated thermal and hydrothermal power systems

Design of a decentralized control law for variable area coupled tank systems using H_∞ complimentary sensitivity function

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Fractional‐order PID and internal model control‐based dual‐loop load frequency control using teaching–learning optimization

Cited by 5 publications

References 30 publications

Load frequency control of new energy power system based on adaptive global sliding mode control

Load frequency control of new energy power system based on adaptive global sliding mode control

Maiden application of colliding bodies optimizer for load frequency control of two‐area nonreheated thermal and hydrothermal power systems

Design of a decentralized control law for variable area coupled tank systems using H∞ complimentary sensitivity function

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Design of a decentralized control law for variable area coupled tank systems using H_∞ complimentary sensitivity function