Output Feedback Fuzzy Sliding Mode Control Technique Based Power System Stabilizer (PSS) For Single Machine Infinite Bus (SMIB) System

Bandal, Vitthal; Bandyopadhyay, B.; Kulkarni, A. M.

doi:10.1109/icit.2005.1600661

Cited by 7 publications

(3 citation statements)

References 20 publications

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“…Different techniques are mixed with robust technique to provide sufficient damping for small signal oscillation in power system such as periodic output feedback, pole placement method [21][22][23], variable structure method, quantitative feedback theory [24,25] and sliding mode control [26][27][28][29]. Tuning of power system stabilizer using fuzzy logic has been investigated in [30][31][32][33].…”

Section: -Introductionmentioning

confidence: 99%

Robust Damping Controller for Synchronous Generators under Operational Uncertainties

2022

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Power system stabilizers have been widely used to create sufficient damping against low-frequency oscillations in power systems. Due to appearing uncertainties in operational conditions of power systems, robust design of power system stabilizers is a crucial requirement for small signal stability. In this paper, a robust local damping controller is developed considering the possible uncertainties in operational conditions. The developed damping controller is optimized based on the H-infinity method in presence of uncertainties in electrical variables of the synchronous machine. In the proposed robust damping controller, only the practically available control signals such as the deviation of the rotor speed of the synchronous generators are used. To fulfill the robust and internal stabilities of the damping controller under a given horizon of operational uncertainties, a novel design based on the combination of the developed robust damping controller and the conventional power system stabilizer is introduced. Simultaneous damping of local oscillatory modes and the internal stability of the proposed robust controller is achieved via a multi-objective function. The efficacy of the proposed local dampingcontroller is compared with the conventional power system stabilizer and a damping controller that is designed using the pole placement approach.

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Section: -Introductionmentioning

confidence: 99%

Robust Damping Controller for Synchronous Generators under Operational Uncertainties

2022

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“…Power system stabilizer (PSS) technique minimizes the limitations of the PID controller. It provides better protection of the power system against different uncertainties by restoring it [31], [32]. This control algorithm is deigned based on the control principle of fuzzy logic and sliding mode controller.…”

Section: Introductionmentioning

confidence: 99%

Transient Stabilization Improvement of Induction Generator Based Power System using Robust Integral Linear Quadratic Gaussian Approach

Badal¹,

Sarker²,

Das³

2019

ijSmartGrid

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Interconnected power system consisting of a number of power generation units are able to fulfil the demand of electricity throughout the world. A safe and reliable operation of interconnected power system is possible when all the generators remain at synchronism state. Stability problem arises when the damping torque of these generators is reduced due to the effect of different uncertainties, faults and dynamic loads. The result of insufficient damping torque may deviate the speed of the generators and produce unsafe operation of power system due to the loss of stability and robustness of terminal voltage and rotor angle. In this paper, a novel integral linear-quadratic Gaussian (ILQG) controller is designed to regulate the oscillation of the power system for increasing stability and robustness. The better performance of the proposed controller is ensured by comparing it with the linear-quadratic regulator (LQR) and the linear-quadratic Gaussian (LQG) controllers. The comparison results ensure the optimum performance of the proposed controller against uncertainties and fault as compared to the LQR and LQG controller.

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“…The problem is left for the discrete time case. [n [6], the authors propose a new design of power system stabilizer based on fuzzy logic and output feedback sliding mode controller. Therefore, the control rules are constructed according to the concepts of output feedback sliding mode control, where the fuzzy sets, whose membership functions are identified.…”

Section: Introductionmentioning

confidence: 99%

Robust design of fractional order PID Sliding Mode based Power System Stabilizer in a power system via a new metaheuristic Bat algorithm

Choucha

Chaib

Arif

et al. 2015

2015 International Workshop on Recent Advances in Sliding Modes (RASM)

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In this paper, Power System Stabilizer (PSS) based on hybrid Sliding Mode Controller (SMC) and fractional order PID controller (pIAn 11) is proposed for optimal control of power system, using a new metaheuristic optimization Bat algorithm (BA) inspired by the echolocation behavior to improve power system stability. The aim of this study is to find robust controller for demonstrating the availability of the proposed controller, and to achieve best desired output. Here, we have chosen SMC as one of the most effective control methodologies for adjusting the states of the system to their preferred values to supply the excellent damping under severe disturbances. The problem of SMC-FOPID design is transformed to an optimization problem based on performance index, which is Integral of the Time Weighted Absolute Error (lTAE). Where, BA has been employed to adjust the optimal controller parameters. The effectiveness of SMC-FOPID has been tested on a Single Machine Infinite Bus (SMIB) power system under different cases, including operating. The performance of SMC-FOPID controller in power system is compared with a conventional PSS. The simulation results greatly indicate the validity and effectiveness of the proposed controller, and superior robust performance for improvement power system stability compared with the PSS controller for each case.

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Output Feedback Fuzzy Sliding Mode Control Technique Based Power System Stabilizer (PSS) For Single Machine Infinite Bus (SMIB) System

Cited by 7 publications

References 20 publications

Robust Damping Controller for Synchronous Generators under Operational Uncertainties

Robust Damping Controller for Synchronous Generators under Operational Uncertainties

Transient Stabilization Improvement of Induction Generator Based Power System using Robust Integral Linear Quadratic Gaussian Approach

Robust design of fractional order PID Sliding Mode based Power System Stabilizer in a power system via a new metaheuristic Bat algorithm

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