Robust controller design for large interconnected power systems with model uncertainties based on wide-area measurement

Dou, Chunxia; Jia, Qingquan; Jin, Shijiu; Bo, Zhiqian

doi:10.1007/s00202-007-0076-0

Cited by 10 publications

(5 citation statements)

References 26 publications

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“…Taking the mathematical expectation of both sides of (15) (17) Thus, it follows form (13), (16) and (17) …”

Section: Preliminariesmentioning

confidence: 99%

“…The overall fuzzy model of the system is achieved by smoothly blending these local linear models together through membership function [9]. Up to know, there have been some results about control problem of multi-machine coupled systems based fuzzy model, see, e.g., [10][11][12][13][14][15][16][17][18], where the stochastic perturbations were ignored. To the best of the authors' knowledge, there are few results considering impulsive control of stochastic interconnected power system based on T-S fuzzy model in the literature.…”

Section: Introductionmentioning

confidence: 99%

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Impulsive control of stochastic interconnected power systems based on T-S fuzzy model

Wang

Sun

Liu

et al. 2014

Proceedings of the 33rd Chinese Control Conference

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In this paper, we discuss the control problem of interconnected power systems with stochastic perturbation based on the fuzzy control theory. Firstly, the Takagi-Sugeno (T-S) interpolation approach is adopted to approximate stochastic interconnected power system, and the simplified linear models are derived. Then, by using the impulsive control strategy, the stabilization of stochastic interconnected power system could be realized. Based on Lyapunov stability theory, sufficient conditions are derived in the form of linear matrix inequality (LMI). At last, simulation results on a two-machine interconnected system are provided to illustrate the effectiveness of the proposed control methods.

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“…Taking the mathematical expectation of both sides of (15) (17) Thus, it follows form (13), (16) and (17) …”

Section: Preliminariesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Impulsive control of stochastic interconnected power systems based on T-S fuzzy model

Wang

Sun

Liu

et al. 2014

Proceedings of the 33rd Chinese Control Conference

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“…Interconnected systems consist of several subsystems or individual elements that are interconnected among themselves to form a large, complex network. For example, large interconnected power systems, 1 interconnected vehicular system, 2 energy management in DC‐grids, 3 linear transportation networks, 4 DC microgrids, 5 switched interconnected non‐affine nonlinear systems under arbitrary switching, 6 DC bus networks, 7 ecological systems, biological systems and energy systems, 8 industrial processes, 9 electrical circuits 10 . On the other hand, the information on state vectors of dynamical systems plays an important role in many applications such as state‐feedback control, system supervision, fault diagnosis of dynamic processes, and so on (see, for example, References 11–18).…”

Section: Introductionmentioning

confidence: 99%

Design of distributed event‐triggered states and unknown disturbances observers for time‐varying delay interconnected systems

Cong Huong

2024

Adaptive Control & Signal

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SummaryThis article considers the problem of designing distributed event‐triggered states and unknown disturbances observers for a class of nonlinear interconnected systems where the local state vectors are affected by unknown delays and the nonlinear function satisfying the Lipschitz condition. Distributed observers are designed based on the local input vector and both the local and remote output vectors. Different from previously distributed observers for interconnected systems where the local and remote output vectors are updated continuously, the one in this article uses only information on the local and remote output vectors updating at triggering instants of proposed event‐triggered mechanisms. This indicates that the proposed method in this article is better than the existing ones in saving communication resources while still keeping an acceptable estimation performance. Sufficient conditions for the existence of the proposed distributed observers are established and are formed in a convex optimization problem which can be easily solved by using the MATLAB LMI Control Toolbox. Finally, a numerical example is given to confirm the effectiveness and advantages of the proposed method.

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“…Present-day distribution grids have no capability of real-time reconfiguration, the self-healing and security of system entirely depend on redundancy of entities. In addition, because of the lack of information sharing, although local automation degree of component systems is very high, whole system control is usually disruptive and isolated, and does not form an organic entirety [10][11][12][13]. With the increased penetration of DERs, the operation strategies of a high-penetration grid should take full advantage of multi-mode and plug-and-play characteristics of DERs to achieve the real-time reconfiguration of system operation.…”

Section: Introductionmentioning

confidence: 99%

Hybrid control for high‐penetration distribution grid based on operational mode conversion

Dou

Liu²,

Hill

2013

IET Generation, Transmission & Distribution

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For the purpose of developing smart control with a great degree of flexibility to enhance the stability, security and selfhealing capability of a high-penetration distribution grid, in this study smart control called a hierarchical hybrid control is proposed based on operational mode conversions of distributed energy resources. Corresponding to the hybrid dynamic behaviours of the system, the hierarchical hybrid control consists of discrete control strategies at the upper level, local continuous controllers at the lower level and their interactions. The upper level discrete control strategies are mainly responsible for switching operational modes so as to enhance security and self-healing capability during significant disturbances. The lower level continuous control aims to regulate dynamic stability of each controlled unit in order to obtain satisfactory performance. The effectiveness of the proposed hybrid control is demonstrated through simulation examples.

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Robust controller design for large interconnected power systems with model uncertainties based on wide-area measurement

Cited by 10 publications

References 26 publications

Impulsive control of stochastic interconnected power systems based on T-S fuzzy model

Impulsive control of stochastic interconnected power systems based on T-S fuzzy model

Design of distributed event‐triggered states and unknown disturbances observers for time‐varying delay interconnected systems

Hybrid control for high‐penetration distribution grid based on operational mode conversion

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