Adaptive Super Twisting Sliding Mode Load Frequency Control for an Interconnected Power Network with Nonlinear Coupling Between Control Areas

Dev, Ark; Anand, Sumant; Sarkar, Mrinal Kanti

doi:10.1016/j.ifacol.2020.06.059

Cited by 10 publications

(9 citation statements)

References 20 publications

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“…This paper has presented an optimal adaptive solution to the LFC problem by a new STSMC TSO-based to refine the dynamic behaviour of the interconnected system during the power mismatch intervals. To study the effect of the new controller, the controller with a three-pool power system has FIGURE 47 The output pattern of the BES.…”

Section: Discussionmentioning

confidence: 99%

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Optimal sliding mode control for frequency stabilization of hybrid renewable energy systems

Elsaied

Hameed

Hasanien

et al. 2023

IET Renewable Power Gen

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The constant changes in the load power lead permanently to a power mismatch between the power generation and the power consumption. So, the system frequency due to the power imbalance deviates from the nominal value. Consequently, a control loop should be implemented to stabilize the system frequency whenever a load change occurs. This paper presents a new super‐twisting sliding mode control methodology for obtaining an optimal frequency performance in a multi‐pool system. The paper presents a three‐pool system for frequency deviation problems using an optimal gain Super Twisting Sliding Mode Controller (STSMC), which regulates the frequency change and the line power change to zero in a minimal time. The extent of the excellence of the study proposed is evaluated by comparing it with three Benchmark classical controllers, which are the Tilt‐Integral‐Derivative (TID), Proportional‐Integral‐Derivative (PID), and Fractional‐Order PID (FOPID). The parameters of the four controllers are determined by a proposed physical meta‐heuristic optimization technique called Transient Search Optimizer (TSO), inspired by the dynamic behaviour in the electrical circuits comprising storage elements such as capacitors and inductors during the switching actions. The system simulation is performed, and the STSMC proved overwhelming superiority over other controllers, as it deals better with the transient interval of the system response. Renewable Energy sources (RESs) like photovoltaic and wind energy systems are established, and the STSMC is tested with industrial and residential load models. Finally, energy storage devices such as batteries and superconducting magnetic energy storage are implemented to suppress the rapid fluctuations in the system response, and it succeeded in doing that as the system oscillations are greatly damped with the energy storage devices.

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Section: Discussionmentioning

confidence: 99%

“…The sliding manifold's derivative should be zero to derive the system's control law, as shown in Equation (15) [47,48].…”

Section: Design Of Optimal Super Twisting Sliding Mode Controlmentioning

confidence: 99%

Optimal sliding mode control for frequency stabilization of hybrid renewable energy systems

Elsaied

Hameed

Hasanien

et al. 2023

IET Renewable Power Gen

View full text Add to dashboard Cite

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“…Theorem 2. Suppose that the unknown estimators 􏽢 θ 1 and 􏽢 θ 2 are bounded, the closed-loop control (19) is robustly stable under the law (21) conjointly with the parameter update law (22) if the vector c fulflls the output condition (23).…”

Section: Adaptive Dynamic Backstepping Controllermentioning

confidence: 99%

“…As, from (15), _ V 1 + e 2 _ e 2 � _ V 2 < 0, it remains to fnd the condition for which e T θ (Γ −1 _ 􏽢 θ − ψ 2 e 2 ) < 0. Using the adaptive law (22), we obtain…”

Section: Te Control Law Ismentioning

confidence: 99%

“…Neither external disturbances nor measurement noises were accounted for in this system. Under load disturbances, Dev et al [22] proposed an adaptive super-twisting sliding mode controller for two sections of interconnected power networks. Te authors implemented the dynamic adaptive rule proposed by Gutierrez et al [23] to deal with the unknown limits of disturbances and prevent overestimating control advantages.…”

Section: Introductionmentioning

confidence: 99%

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Coordinate Control for an SMIB Power System with an SVC

Kada

Bensenouci

2023

Applied Computational Intelligence and Soft Computing

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To improve power quality in power systems vulnerable to current disturbances and unbalanced loads, a hybrid control scheme is proposed in the present paper. A hybrid adaptive robust control strategy is devised for an SMIB power system equipped with a static VAR compensator to ensure robust transient stability and voltage regulation (SVC). High-order sliding mode control is combined with a dynamic adaptive backstepping algorithm to form the basis of this technique. To create controllers amenable to practical implementation, this method uses a high-order SMIB-SVC model and introduces dynamic constraints, in contrast to prior approaches. Improved transient and steady-state performances of the turbine steam-valve system are the goals of the dynamic backstepping controller. A Lyapunov-based adaptation law is developed to address the ubiquitous occurrence of parametric and nonparametric uncertainty in electrical power transmission systems due to the damping coefficient, unmodeled dynamics, and external disturbance. High-order sliding mode (HOSM) control is used for generator excitation and SVC devices to construct finite-time controllers. The necessary derivatives for HOSM control are calculated using high-order numerical differentiators to prevent simulation instability and convergence issues. Simulations demonstrate that the suggested method outperforms conventionally coordinated and hybrid adaptive control schemes regarding actuation efficiency and stability.

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Robust integration of fault estimation and sliding mode fault‐tolerant control for interconnected systems against sensor fault

Abdul‐Jaleel,

Shaker

2023

Asian Journal of Control

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This paper provided a robust strategy for controlling nonlinear interconnected large‐scale systems subject to a sensor fault. The inherent challenge in controlling such systems is to sustain robust closed‐loop stability and performance in nonlinear interactions, faults, and exogenous inputs. A new closed‐loop structure has been devised to tackle this challenge by integrating the sliding mode controller with the unknown input observer. By exploiting the decoupling capability of the controller and observer, this integration ensures the robustness of the closed‐loop system against the simultaneous effect of interaction, fault, and disturbance. In this context, the unknown input observer has been constructed to supply the controller with an accurate sensor fault assessment despite additional unknown inputs. A novel approach is proposed for designing a decentralized fault‐tolerant control system that utilizes sliding mode control and proportional‐integral‐derivative controller tuning via a bacterial foraging optimization algorithm to compensate for the fault effect, leading to a robust output performance. The observer and controller gains are accomplished by utilizing the H∞ performance and linear matrix inequality formulation. The Lyapunov technique is used to demonstrate stability. A power system model emphasizes the proposed approach's robustness and effectiveness. The system performance with and without the proposed controller was compared, where the simulation results show a fast reaction to offset undesirable impacts, whereas the state estimation error approaches to zero in each subsystem.

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Adaptive Super Twisting Sliding Mode Load Frequency Control for an Interconnected Power Network with Nonlinear Coupling Between Control Areas

Cited by 10 publications

References 20 publications

Optimal sliding mode control for frequency stabilization of hybrid renewable energy systems

Optimal sliding mode control for frequency stabilization of hybrid renewable energy systems

Coordinate Control for an SMIB Power System with an SVC

Robust integration of fault estimation and sliding mode fault‐tolerant control for interconnected systems against sensor fault

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