Design of robust Power System Stabilizer using H&amp;#x221E; mixed sensitivity technique

Sil, Amitava; Gangopadhyay, T. K.; Paul, Subrata; Maitra, Ashok Kumar

doi:10.1109/icpws.2009.5442746

Cited by 25 publications

(5 citation statements)

References 10 publications

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“…At the nominal operating conditions, the conventional power system stabilizer (CPSS) works efficiently, but its performance decreases if the operating point has changed [20]. In this case, the CPSS does not guarantee the power system robustness for different ranges of operating points.…”

Section: Introductionmentioning

confidence: 99%

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Stabilisateur De Système d'ALIMENTATION Robuste Basé Sur Un Contrôle H∞ Structuré Pour La Stabilité d'UN Système Multi-Machine

KHELLOUFI,

SARI,

CHOUABA

2024

RRST-EE

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A robust design of power system stabilizers (PSSs) using H∞ output feedback control has been introduced in this work. To facilitate the implementation of the designed PSSs, the proposed technique employs the H∞ to tune the fixed-structure conventional lead-lag PSS parameters of the multi-machine system. These PSSs are used to improve the damping of the local and inter-area low-frequency oscillations in power systems under different operating conditions. The proposed control is tested on a multi-machine system, which is a three-machine nine-bus system. A comparative simulation study shows a significant enhancement and good performance of the proposed design compared to an IEEE conventional power system stabilizer.

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Section: Introductionmentioning

confidence: 99%

“…Robust control methods based on H2 and H∞ Norm designed in [19,20] have been only applied on an SMIB.…”

Section: Introductionmentioning

confidence: 99%

Stabilisateur De Système d'ALIMENTATION Robuste Basé Sur Un Contrôle H∞ Structuré Pour La Stabilité d'UN Système Multi-Machine

KHELLOUFI,

SARI,

CHOUABA

2024

RRST-EE

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“…feedback configuration and is implemented on a hardware-in-the-loop simulation. Also, recent applications based on the non-iterative approach are the works of Sutyasadi and Parnichkun (2016) and Sil et al (2009). In the work of Sutyasadi and Parnichkun (2016) to overcome the uncertainties and disturbances, an MSC was proposed to control a quadruped robot legs positions, and a power system stabilizer is designed by Sil et al (2009), using weighted MSC.…”

Section: Introductionmentioning

confidence: 99%

Mixed sensitivity control: a non-iterative approach

Galindo

2020

Systems Science & Control Engineering

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Recent analytical solutions to Mixed Sensitivity Control (MSC) are developed and compared with standard MSC based on γ-iteration. The proposed MSC solution gives conditions for strong stability and overcomes the pole-zero cancellations between the plant and the controller of non-iterative solutions, keeping the low-computational effort advantage of non-iterative solutions. The proposed MSC is based on the minimization of the most common closed-loop sensitivity functions in lowfrequencies and the free-parameters of the stabilizing-controllers solve an algebraic equation of restriction that assigns the same value to the infinity-norms of the sensitivity functions at low and high-frequencies, guaranteeing robust stability and robust performance. It is assumed that the plant state dimension is double the plant input dimension and that the linear time-invariant nominal plant has a stabilizable and detectable realization and is strongly stabilizable. This MSC problem is solved in a one-parameter observer-controller configuration and reference tracking-control of positions is realized on a two-degrees of freedom feedback-configuration. An approximated optimal value of the location of the closed-loop poles is proposed based on Glover and McFarlane's optimal stability margin [(1989)] which in turn is based on Nehari's Theorem. Simulations of a mechanical system illustrate the results.

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“…System sensitivity has always been widely used as a powerful tool for system stability analysis. In [1] and [2], sensitivity is used to determine the optimal placement of devices for system stability maintaining, such as power system stabilizer (PSS), as well as the performance evaluation of these devices. A modeling approach for macro-scale power system was presented in [3].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Power System Zone Division Scheme using Sensitivity Analysis

Li¹,

Liu

et al. 2014

Journal of International Council on Electrical Engineering

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A dynamic zone division scheme is presented in this paper based on sensitivity analysis of power system. The concept of this scheme is to divide a large power system into small potential areas, which enclose strong correlated buses and have weak connections with each other. These areas can be considered as different individual zones in system analysis. In N-1 contingency analysis, the computation burden is largely reduced by operating in the level of potential areas, and the system cross-section distribution is determined dynamically. Analysis result can be used as an aid of power system operation and control. In this paper, IEEE-118 bus system is chosen as testing system, and this scheme is proved to be feasible and effective for large scale power system, it will be used to build the functional module of next generation EMS in Guangdong power grid and will serve as a function in power grid operation in the future.

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Design of robust Power System Stabilizer using H∞ mixed sensitivity technique

Cited by 25 publications

References 10 publications

Stabilisateur De Système d'ALIMENTATION Robuste Basé Sur Un Contrôle H∞ Structuré Pour La Stabilité d'UN Système Multi-Machine

Stabilisateur De Système d'ALIMENTATION Robuste Basé Sur Un Contrôle H∞ Structuré Pour La Stabilité d'UN Système Multi-Machine

Mixed sensitivity control: a non-iterative approach

Dynamic Power System Zone Division Scheme using Sensitivity Analysis

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