Application of Dual Youla Parameterization Based Adaptive Wide-Area Damping Control for Power System Oscillations

Ma, Jing; Wang, Tong; Wang, Shangxing; Gao, Xiang; Zhu, Xiangsheng; Wang, Zengping; Thorp, James S.

doi:10.1109/tpwrs.2013.2296940

Cited by 26 publications

(8 citation statements)

References 23 publications

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“…Thus, they are much better than traditional linear controllers. Some of these robust and adaptive controllers are the ∞ controller, multiagent ∞ controller [90], mixed 2 / ∞ controller [91] dual Youla parameterization-based adaptive controller [92], and multi-polytopic adaptive controller [93]. The accurate damping controlling of the above techniques has been demonstrated in the literature using simulated signals for different test systems under different operating conditions.…”

Section: Synchrophasor-based Oscillation Damping Systemsmentioning

confidence: 99%

Review on Oscillatory Stability in Power Grids With Renewable Energy Sources: Monitoring, Analysis, and Control Using Synchrophasor Technology

Meegahapola

Wadduwage

et al. 2021

IEEE Trans. Ind. Electron.

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Oscillatory stability has received immense attention in recent years due to the significant increase of power-electronic converter (PEC)-interfaced renewable energy sources. Synchrophasor technology offers superior capability to measure and monitor power systems in real time, and power system operators require better understanding of how it can be used to effectively analyze and control oscillations. This paper reviews stateof-the-art oscillatory stability monitoring, analysis, and control techniques reported in the published literature based on synchrophasor technology. An updated classification is presented for power system oscillations with a special emphasis on oscillations induced from PECinterfaced renewable energy generation. Oscillatory stability analysis techniques based on synchrophasor technology are well established in power system engineering, but further research is required to effectively utilize synchrophasor based oscillatory stability monitoring, analysis and control techniques to characterize and mitigate PEC-induced oscillations. In particular, emerging big-data analytics techniques could be used on synchrophasor data streams to develop oscillatory stability monitoring, analysis and damping techniques.

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Section: Synchrophasor-based Oscillation Damping Systemsmentioning

confidence: 99%

Review on Oscillatory Stability in Power Grids With Renewable Energy Sources: Monitoring, Analysis, and Control Using Synchrophasor Technology

Meegahapola

Wadduwage

et al. 2021

IEEE Trans. Ind. Electron.

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“…The following lemma, whose proof is included in appendix B, provides a useful property for subsystem (4). In particular, the quadratic terms ij y j 2 quantify the impact of nonlinear interconnections on subsystem (4) in a way parallel to that of ii u i 2 .…”

Section: Quantifying Passivity-shortage Impact Of Interconnectionsmentioning

confidence: 99%

Data-Driven Wide-Area Control Design of Power System Using the Passivity Shortage Framework

Harvey

et al. 2021

IEEE Trans. Power Syst.

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A novel wide-area control design is presented to mitigate inter-area power frequency oscillations. A large-scale power system is decomposed into a network of passivity-short subsystems whose nonlinear interconnections have a state-dependent affine form, and by utilizing the passivity shortage framework, a two-level design procedure is developed. At the lower level, any generator control can be viewed as one that makes the generator passivity-short and L2 stable, and the stability impact of the lower-level control on the overall system can be characterized in terms of two parameters. While the system is nonlinear, the impact parameters can be optimized by solving a data-driven matrix inequality (DMI), and the high-level wide-area control is then designed by solving another Lyapunov matrix inequality in terms of the design parameters. The proposed methodology makes the design modular, and the resulting control is adaptive to operating conditions of the power system. Standard test systems are used to illustrate the proposed design, including DMI and the wide-area control, and simulation results demonstrate its effectiveness in damping out inter-area oscillations.

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“…But, it may become invalid if the system undergoes some thorough change, for example, power flow reversal of tie lines, as demonstrated in Figure 13c. Under such a circumstance, online adaptive coordination design [42][43][44] should be adopted to recover the validness of the strategy.…”

Section: Robustness Analysismentioning

confidence: 99%

Simultaneous Robust Coordinated Damping Control of Power System Stabilizers (PSSs), Static Var Compensator (SVC) and Doubly-Fed Induction Generator Power Oscillation Dampers (DFIG PODs) in Multimachine Power Systems

Zuo

Shi

et al. 2017

Energies

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Abstract:The potential of utilizing doubly-fed induction generator (DFIG)-based wind farms to improve power system damping performance and to enhance small signal stability has been proposed by many researchers. However, the simultaneous coordinated tuning of a DFIG power oscillation damper (POD) with other damping controllers is rarely involved. A simultaneous robust coordinated multiple damping controller design strategy for a power system incorporating power system stabilizer (PSS), static var compensator (SVC) POD and DFIG POD is presented in this paper. This coordinated damping control design strategy is addressed as an eigenvalue-based optimization problem to increase the damping ratios of oscillation modes. Both local and inter-area electromechanical oscillation modes are intended in the optimization design process. Wide-area phasor measurement unit (PMU) signals, selected by the joint modal controllability/ observability index, are utilized as SVC and DFIG POD feedback modulation signals to suppress inter-area oscillation modes. The robustness of the proposed coordinated design strategy is achieved by simultaneously considering multiple power flow situations and operating conditions. The recently proposed Grey Wolf optimizer (GWO) algorithm is adopted to efficiently optimize the parameter values of multiple damping controllers. The feasibility and effectiveness of the proposed coordinated design strategy are demonstrated through frequency-domain eigenvalue analysis and nonlinear time-domain simulation studies in two modified benchmark test systems. Moreover, the dynamic response simulation results also validate the robustness of the recommended coordinated multiple damping controllers under various system operating conditions.

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Application of Dual Youla Parameterization Based Adaptive Wide-Area Damping Control for Power System Oscillations

Cited by 26 publications

References 23 publications

Review on Oscillatory Stability in Power Grids With Renewable Energy Sources: Monitoring, Analysis, and Control Using Synchrophasor Technology

Review on Oscillatory Stability in Power Grids With Renewable Energy Sources: Monitoring, Analysis, and Control Using Synchrophasor Technology

Data-Driven Wide-Area Control Design of Power System Using the Passivity Shortage Framework

Simultaneous Robust Coordinated Damping Control of Power System Stabilizers (PSSs), Static Var Compensator (SVC) and Doubly-Fed Induction Generator Power Oscillation Dampers (DFIG PODs) in Multimachine Power Systems

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