Inverse additive perturbation-based optimization of robust PSS in an interconnected power system with wind farms

Supriyadi, Ade; Ngamroo, Issarachai; Kunakorn, A.; Dechanupaprittha, Sanchai; Watanabe, Masayuki; Mitani, Yasunori; Hashiguchi, Takuhei; Goda, Tadahiro

doi:10.1109/sice.2008.4654658

Cited by 6 publications

(4 citation statements)

References 10 publications

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“…The unstructured uncertainty constitutes the lumped dynamic perturbations that may occur in different parts of a system. For linear time invariant systems, the configuration of unstructured uncertainty can be additive perturbation, inverse additive perturbation (see the application in wind farms in [20]), input multiplicative perturbation, output multiplicative perturbation, inverse input multiplicative, inverse output multiplicative perturbation, left coprime factor perturbations and right coprime factor perturbations [19]. On the other hand, the parametric uncertainties affect the low-frequency range performance that are normally caused by dynamic perturbations due to variations of certain system parameters.…”

Section: Uncertainties and Disturbancesmentioning

confidence: 99%

Brief note on match and miss-match uncertainties

Kamarudin¹,

Rozali²,

Hairi³

et al. 2023

TELKOMNIKA

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The appearance of uncertainties and disturbances often effects the characteristics of either linear or nonlinear systems. Plus, the stabilization process may be deteriorated thus incurring a catastrophic effect to the system performance. As such, this manuscript addresses the concept of matching condition for the systems that are suffering from miss-match uncertainties and exogeneous disturbances. The perturbation towards the system at hand is assumed to be known and unbounded. To reach this outcome, uncertainties and their classifications are reviewed thoroughly. The structural matching condition is proposed and tabulated in the proposition 1. Two types of mathematical expressions are presented to distinguish the system with matched uncertainty and the system with miss-matched uncertainty. Lastly, two-dimensional numerical expressions are provided to practice the proposed proposition. The outcome shows that matching condition has the ability to change the system to a design-friendly model for asymptotic stabilization.

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Section: Uncertainties and Disturbancesmentioning

confidence: 99%

Brief note on match and miss-match uncertainties

Kamarudin¹,

Rozali²,

Hairi³

et al. 2023

TELKOMNIKA

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show abstract

“…In this study, output error (OE) identification method is used to construct the estimated model of each generator because the OE model is easily computed, familiarly used and has high accuracy. To consider the robust control, the inverse additive perturbation is applied in this study [25], [26]. By minimizing ‖𝐺(𝑠)/(1 + 𝐺(𝑠)𝐾(𝑠))‖ ∞ , the robust stability value of the closed-loop system is near optimum.…”

Section: Proposed Adaptive Robust Controllermentioning

confidence: 99%

Adaptive robust control design to enhance smart grid power system stabilization using wind characteristics in Indonesia

Herbandono

Nandar

2021

IJPEDS

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<span lang="EN-US">This paper is interested to study power system stability in smart grid power system using wind characteristic in south of Yogyakarta, Indonesia. To overcome the intermittent of wind characteristics, this paper presents adaptive robust control design to enhance power system stabilization. The online identification system is used in this research, which updated whenever the estimated model mismatch exceeds predetermined bounds. Then genetic algorithm (GA) is applied to re-tune parameters controller based on the estimated model. The structure of controller is proportional integral (PI) controller due to the most applicable in industry, simple structure, low cost and high reliability. Robustness of controller is guaranteed by taking system uncertainties into consideration. The performance of the proposed controller has been carried out in a hybrid wind-diesel power system in comparison with previous work controller. Simulation results confirm that damping effect of the proposed controllers are much better that of the conventional controllers against various operating.</span>

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“…The application of those algorithms is to design and tune the parameter of PSS as reported in [10][11][12]. However, very scant attention has been paid to consider high penetration of PV and WECS as well as the dynamic behaviour of PV and WECS for designing PSS.…”

Section: Introductionmentioning

confidence: 99%

Optimization based Design of Dual Input PSS for Improving Small Signal Stability of Power System with RESs

Setiadi¹,

Mithulananthan²,

Krismanto³

et al. 2019

ijeei

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This paper proposes a method to enhance the small signal stability performance of power system considering high RESs penetration. A hybrid differential evolution-particle swarm optimization (DE-PSO) is used to design and tune DIPSS parameters. Eigenvalue, damping performance, and time domain simulation are thoroughly investigated to analyze the system performance using DIPSS based on hybrid DE-PSO and find how much RESs penetration level can be considered. From the simulation results, it is found that by utilizing DIPSS based on hybrid DE-PSO can enhance the small signal stability performance of power system with significant penetration of RESs.

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Inverse additive perturbation-based optimization of robust PSS in an interconnected power system with wind farms

Cited by 6 publications

References 10 publications

Brief note on match and miss-match uncertainties

Brief note on match and miss-match uncertainties

Adaptive robust control design to enhance smart grid power system stabilization using wind characteristics in Indonesia

Optimization based Design of Dual Input PSS for Improving Small Signal Stability of Power System with RESs

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