Power system transient stability enhancement by STATCOM with nonlinear H∞ stabilizer

Al-Baiyat, S.A.

doi:10.1016/j.epsr.2004.04.015

Cited by 14 publications

(7 citation statements)

References 15 publications

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“…In the recursive design of the feedback control law, when virtual stabilization function is selected, the K class function is introduced. With the result that when the error is bigger, the convergence rate of the system speeds up [9]. But with the increase of t, the error is reduced.…”

Section: Resultsmentioning

confidence: 90%

Improved Many Machine Excitation Nonlinear Robust Controller Design

Yan¹,

Ying²

2016

Proceedings of the 2016 International Conference on Economics, Social Science, Arts, Education and Management Engineering

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Abstract. Electric power systems are one of nonlinear, multidimensional, dynamic and large scale systems. Once power systems lose stability, it would result in the consequence is very serious. With excitation control for multi-machine power system nonlinear model in this article, a series of stability control problems are studied by means of the improved backstepping methods, including excitation control. The nonlinear adaptive robust controller which can stabilize the system has been designed. The concise design method and excellent design strategy make the designed corresponding control scheme own extensive adaptability, which effectively improve the maintain system power angle and voltage stability.

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Section: Resultsmentioning

confidence: 90%

Improved Many Machine Excitation Nonlinear Robust Controller Design

Yan¹,

Ying²

2016

Proceedings of the 2016 International Conference on Economics, Social Science, Arts, Education and Management Engineering

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“…, and the input control variable as: u=(u 1 , u 2 ) T =(m a cosδ, m a sinδ) T . Neglecting the inductance and converter losses and the change in the energy stored in the inductance [11][12], we can rewrite (5) in standard form ‫ݔ‬ሶ ൌ ݂ሺ‫ݔ‬ሻ ݃ሺ‫ݔ‬ሻ‫ݑ‬ as follows:…”

Section: Fbc Design For Statcommentioning

confidence: 99%

“…However, all these PI controller designs are based on control methods which are based on a linearized averaged model of STATCOM. Since the averaged model of STATCOM is nonlinear, model-based nonlinear control methods are proposed in [9][10][11][12][13][14] to directly compensate the system nonlinearities without the requirement of a linear approximation. Also, a new method, called flatness-based control (FBC), is proposed and applied in STATCOM [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Flatness-based adaptive control (FBAC) for STATCOM

Jin

et al. 2015

Electric Power Systems Research

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This paper proposes a new method, called the flatness-based adaptive control (FBAC), for STATCOM voltage regulation. By this method, the nonlinear STATCOM variables can be easily and exactly controlled by controlling flat output without solving differential equations. Further, the control gains can dynamically self-adjust during the voltage regulation after a disturbance. Thus, the performance from FBAC will consistently match a desired response, regardless of the change of operating conditions. In contrast, the traditional PI control and the flatness-based control (FBC), even if well-tuned for a specific given operating condition, may be inefficient or incapable to correct voltage when there is a change of the operating conditions or the STATCOM is deployed in a new power system. The advantage of the proposed FBAC over the original control and FBC control are demonstrated with the simulation studies under different operating conditions, such as a change of network and a change of load.

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“…1, the STATCOM consists of a stepdown transformer with a leakage reactance of X t , a three phase gate turn-off (GTO)-based voltage source converter (VSC) and a dc capacitor. The STATCOM model used in this study is found to be good enough for the low frequency oscillation stability problem [14]. The VSC generates a controllable ac voltage V o given by:…”

Section: B Statcom-based Stabilizermentioning

confidence: 99%

“…The interactions and multivariable design of STATCOM ac and dc voltage control has been reported in [8]. While most of the control designs are carried out with linearized models, nonlinear control strategies for a STATCOM have also been reported recently [14]- [16].…”

Section: Introductionmentioning

confidence: 99%

Combined Design of PSS and STATCOM Controllers for Power System Stability Enhancement

Rohani¹,

Tirtashi²,

Noroozian³

2011

Journal of Power Electronics

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In this paper a robust method is presented for the combined design of STATCOM and Power System Stabilizer (PSS) controllers in order to enhance the damping of the low frequency oscillations in power systems. The combined design problems among PSS and STATCOM internal ac and dc voltage controllers has been taken into consideration. The equations that describe the proposed system have been linearized and a Fuzzy Logic Controller (FLC) has been designed for the PSS. Then, the Particle Swarm Optimization technique (PSO) which has a strong ability to find the most optimistic results is employed to search for the optimal STATCOM controller parameters. The proposed controllers are evaluated on a single machine infinite bus power system with the STATCOM installed in the midpoint of the transmission line. The results analysis reveals that the combined design has an excellent capability in damping a power system's low frequency oscillations, and that it greatly enhances the dynamic stability of power systems. Moreover, a system performance analysis under different operating conditions and some performance indices studies show the effectiveness of the combined design.

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Power system transient stability enhancement by STATCOM with nonlinear H∞ stabilizer

Cited by 14 publications

References 15 publications

Improved Many Machine Excitation Nonlinear Robust Controller Design

Improved Many Machine Excitation Nonlinear Robust Controller Design

Flatness-based adaptive control (FBAC) for STATCOM

Combined Design of PSS and STATCOM Controllers for Power System Stability Enhancement

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