Sliding‐mode variable structure controller for cascade STATic var COMpensator

Wu, Junyong; Chen, Qichao; Du, Mingjun; Yu, Shulin

doi:10.1049/iet-pel.2012.0220

Cited by 26 publications

(15 citation statements)

References 15 publications

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“…Making use of the nonlinear characteristics of the converter, sliding mode control based on feedback linearization is proposed in [39][40][41], where it can improve the dynamic performance as well as the robustness of the system. In [42,43], the artificial neural network controller and the linear quadratic Gaussian controller are designed to optimize the performance of APF.…”

Section: Active Control Technologymentioning

confidence: 99%

Overview of power quality analysis and control technology for the smart grid

Luo

et al. 2016

J. Mod. Power Syst. Clean Energy

100

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With the wide application of non-linear loads and the large-scale access of distributed energy generations based on power electronics equipments, power quality problems in the distribution network are increasingly serious with new characteristics. Further in-depth research is of great significance in theory and practice. This paper provides an overview of power quality analysis, compensators, and control technologies under the new situation of smart grid. It focuses on the topologies and control methods for power quality conditioners, especially new characteristics of power quality and applicable control technologies in microgrids and distributed power plants. Finally, trends and prospects of power quality control technology are introduced, which is important to achieve security and efficient operation of the smart grid.

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Section: Active Control Technologymentioning

confidence: 99%

Overview of power quality analysis and control technology for the smart grid

Luo

et al. 2016

J. Mod. Power Syst. Clean Energy

100

View full text Add to dashboard Cite

show abstract

“…Fortunately, it is worth to note that these three functions are not required in the procedure of control design, and their behaviours will be learned by the adaptive neural network-based approximation system. Substituting (15) into (14) yieldṡ…”

Section: Controller Design and Stability Analysismentioning

confidence: 99%

“…Clearly, the adaptive H ∞ control scheme (e.g. (14) and (15) developed in [14]) was quite complicated. Compared with this previous control scheme, by virtue of employing the adaptive neural network approximation system more compact control schemes are developed in this study, and they can be applied to a broader class of uncertain SMIB power systems with SVC in the presence of plant uncertainties, unmodelled perturbations and external disturbances.…”

Section: Controller Design and Stability Analysismentioning

confidence: 99%

Robust neural network‐based control of static var compensator

Chang¹

2014

IET Power Electronics

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This study addresses the problem of designing robust stabilisation control for a large class of uncertain single-machine infinite-bus electrical power systems with static var compensator (SVC). This class of systems may be perturbed by plant uncertainties, unmodelled perturbations and external disturbances. An adaptive neural network-based dynamic feedback controller is developed such that all the states and signals of the closed-loop system are bounded and the stabilisation error can be made as small as possible. As the small perturbations in the input weighting gains are neglected, an H ∞ control performance can be guaranteed. The adaptive neural network approximation systems are designed to learn the behaviours of the unknown functions, and in turn a modified procedure is proposed such that the number of the neural network basis functions can be significantly reduced. Consequently, the intelligent robust control scheme developed here possesses the properties of computational simplicity and easy implementation from the viewpoint of practical applications. The developed robust control scheme not only can handle a large class of uncertain SVC-driven power systems, but also achieve the aim of enhancing the stability performance. Finally, simulations are provided to demonstrate the effectiveness and performance of the proposed control algorithm.

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“…Dynamic reactive power compensation can effectively stabilise the system voltage and damp the system oscillation [1,2]. Various reactive power compensation devices have been proposed [3][4][5], in which cascade multilevel static synchronous compensator (STATCOM) has also been widely applied because of its advantages such as transformerless, small bulk and easy-to-modular [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Advanced compensation mode for cascade multilevel static synchronous compensator under unbalanced voltage

Zang

Liu²

2015

IET Power Electronics

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An improved control scheme for delta-connected cascade multilevel static synchronous compensator (STATCOM) operating under unbalanced conditions is proposed. The individual phase instantaneous current control is suitable for delta-connected cascade multilevel STATCOM which can be equivalent to three single-phase inverters. To compensate the system imbalance, the reactive control mode and the voltage control mode are studied, and the discrete current loop controller has been designed. Accordingly, the cascade multilevel STATCOM can maintain normal operation under unbalanced voltage by using the individual phase instantaneous current control strategy while the unbalanced system can be effectively compensated by the two modified compensation modes. The proposed control scheme has been verified by simulation and experimental results based on a three-phase 36-chain cascade multilevel STATCOM laboratory prototype are shown.

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Sliding‐mode variable structure controller for cascade STATic var COMpensator

Cited by 26 publications

References 15 publications

Overview of power quality analysis and control technology for the smart grid

Overview of power quality analysis and control technology for the smart grid

Robust neural network‐based control of static var compensator

Advanced compensation mode for cascade multilevel static synchronous compensator under unbalanced voltage

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