2004
DOI: 10.1109/tec.2004.827703
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Experimental Evaluation of Nonlinear Robust Control for SMES to Improve the Transient Stability of Power Systems

Abstract: This paper presents a new approach and corresponding experiments for the nonlinear robust control of a superconducting magnetic energy storage (SMES) unit to improve the transient stability of power systems. Based on the result of SMES prototype experience, a new dynamic model with disturbances of SMES is adopted, and transferred to the per unit system for simplifying the dynamic analysis and controller design. Then, feedback linearization scheme and linear control theory are applied to design a novel SMES non… Show more

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Cited by 45 publications
(18 citation statements)
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“…Research results show that dynamics of the SMES can be simulated by the following two first order equations [11] :…”
Section: Simulation Results Of Powre System Stability With Smesmentioning
confidence: 99%
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“…Research results show that dynamics of the SMES can be simulated by the following two first order equations [11] :…”
Section: Simulation Results Of Powre System Stability With Smesmentioning
confidence: 99%
“…From the analysis given above, the following conclusion can be obtained: If it is possible to develop a power system stability controller which can measure and compensate the unbalanced power occurred in the power system timely and accurately, the stability of power system will be greatly enhanced [11][12][13][14] .…”
Section: Power System Stabilities Improvement Based On Power Balance mentioning
confidence: 99%
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“…These references mainly focus on the experimental results and give few details about the controller design. Many advanced control techniques are also utilized to design controllers for SMES, such as the linear robust control method [14], the nonlinear robust control method [15], the extended backstepping method [16], and so on. Most of them design the SMES controllers from the viewpoint of control theory and pay little attention to the action mechanism of SMES.…”
Section: Introductionmentioning
confidence: 99%
“…[7] proposed a decentralized nonlinear optimal excitation controller which is applied to some extend, and for the first time provided the strict mathematical proof of the optimal property of such nonlinear control solution. However, it must be pointed out that complex electric power system will inevitably be affected by various kinds of uncertainties (such as disturbances from outer circumstance measurement error, and unmodelling system dynamics) during its operation, which requires the scientific and technological workers not only to consider the nonlinear characteristics of complex power system, but also to minimize the effect of disturbances as much as possible [8][9][10][11][12][13] .…”
mentioning
confidence: 99%