Fuzzy logic control of SVS for damping SSR in series compensated power system

Nagarajan, S. T.; Kumar, Narendra

doi:10.1002/etep.1937

Cited by 2 publications

(8 citation statements)

References 13 publications

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“…ω ij , α ij and W ij respectively express the angular frequency, attenuation coefficient, and weight factor of the i-th torsional mode in the j-th operating condition. W ij is determined by the second equation in (15), in general, the less stable the mode is, the larger the weight factor is. Consequently, SSDC could more completely compensate the less stable modes compared with other existing modes.…”

Section: Target Function For Parameter Optimizationmentioning

confidence: 99%

“…In the last equation of (15), the first term θ ij is the phase angle of the i-th torsional mode under the j-th operating condition needing to be compensated, and the second term k i × Im[(1 + T ib × ω ij )/ (1 + T ia × ω ij )] represents the phase angle compensated by SSDC to the i-th torsional mode under the j-th operating condition. The maximum of the difference between the needed angle and the angle compensated by SSDC is constrained to 60°in (15), so that the projection of additional torque ΔT e ' provided by SSDC on the Δω axis is larger than half of the value of ΔT e ' . θ ij is determined as:…”

Section: Target Function For Parameter Optimizationmentioning

confidence: 99%

“…Then extract the phase lag θ lagij between the output of SSDC and the electrical torque ΔT e at the steady state of the system with SSR identification method. (4) Calculate the weight factors W ij and the phase angles needed to be compensated θ ij according to (15), (16) and (17).…”

Section: Optimal Design Proceduresmentioning

confidence: 99%

“…Considering the economic and efficient aspects, the technique of supplementary damping control is widely used in SSR suppressing, such as supplementary excitation damping controller (SEDC) [10,11] *Correspondence to: Xi Wu, School of Electrical Engineering, Southeast University, Nanjing 210096, China. and subsynchronous damping controller (SSDC) of FACTS [12][13][14][15]. Subsynchronous damping control for TCSC has also attracted wide attentions.…”

Section: Introductionmentioning

confidence: 99%

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An SSR multichannel damping control scheme for TCSC considering multiple operating conditions

Feng

Jiang

et al. 2016

Int. Trans. Electr. Energ. Syst.

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Summary The impact of thyristor‐controlled series capacitor (TCSC) on subsynchronous resonance (SSR) varies with the firing angle, which may significantly reduce the robustness of subsynchronous damping controller (SSDC). To solve this problem, a multichannel damping control scheme for TCSC is proposed in this study for mitigating SSR considering multiple operating conditions. Firstly, an SSR identification method based on PASTd algorithm and subspace estimation, which performs well in term of anti‐noise and accuracy, is adopted to extract the necessary information for design of the proposed SSR damping control scheme. By using this identification method, the characteristics of the SSR are investigated when TCSC operates under different conditions. The analysis results show that the phase lags change significantly with the varying of firing angle of TCSC, and in this case, the compensation scheme for the phase lags becomes the main difficulty for SSR damping control. Then, a novel optimal design method is proposed to realize the optimum compensation using multichannel SSDC under different operating conditions. Moreover, as the attenuation coefficients of torsional modes are considered in the optimal design method, the compensation effectiveness on weak damping modes is enhanced. Finally, the PSCAD/EMTDC based simulation results illustrate the validity and adaptability of the proposed SSR multichannel damping control scheme. Copyright © 2016 John Wiley & Sons, Ltd.

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Section: Target Function For Parameter Optimizationmentioning

confidence: 99%

Section: Target Function For Parameter Optimizationmentioning

confidence: 99%

Section: Optimal Design Proceduresmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An SSR multichannel damping control scheme for TCSC considering multiple operating conditions

Feng

Jiang

et al. 2016

Int. Trans. Electr. Energ. Syst.

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“…Static synchronous series compensator is adopted to alleviate SSR in multimachine power systems . A fuzzy logic control strategy for static VAR system is designed to damp strong resonance in series‐compensated power plant . Considering various operating conditions, a multichannel controller for thyristor‐controlled series capacitor is proposed for mitigating SSR .…”

Section: Introductionmentioning

confidence: 99%

Nonlinear controller based on state feedback linearization for series-compensated DFIG-based wind power plants to mitigate sub-synchronous control interaction

Wang

et al. 2018

Int Trans Electr Energ Syst

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Summary This paper proposes a nonlinear controller based on state feedback linearization (SFL) method to mitigate sub‐synchronous control interaction (SSCI) in series‐compensated doubly fed induction generator (DFIG)‐based wind power plants (WPPs). To make full use of the converter control of DFIG, the SFL controller is developed for both grid side converter (GSC) and rotor side converter (RSC) through four necessary steps, ie, assessment of the feedback linearizability, coordinate transformation, feedback linearization, and derivation of control laws. The stability of the internal dynamics, which is not transformed into linear autonomous subsystems in the design process of the RSC controller, is ensured by the application of zero‐dynamic theory. A 100‐MW DFIG‐based WPP adapted from the IEEE first benchmark model is utilized to evaluate the effectiveness of the SFL damping controller at different wind speeds and compensation levels, and the capability of the proposed controller in mitigating SSCI is compared with a well‐tuned proportional‐integral controller and a conventional SSCI damping controller. The superior performance of the SFL controller is demonstrated at varied operating conditions through frequency scanning analysis, eigenvalue analysis, and electromagnetic transient simulation. Moreover, the robust stability of the proposed controller is guaranteed under parameter uncertainties using μ analysis.

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Fuzzy logic control of SVS for damping SSR in series compensated power system

Cited by 2 publications

References 13 publications

An SSR multichannel damping control scheme for TCSC considering multiple operating conditions

An SSR multichannel damping control scheme for TCSC considering multiple operating conditions

Nonlinear controller based on state feedback linearization for series-compensated DFIG-based wind power plants to mitigate sub-synchronous control interaction

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