Wide-area nonlinear robust voltage control strategy for multi-machine power systems

Ruan, Yi; Yuan, Rongxiang

doi:10.1007/s11431-012-4746-4

Cited by 6 publications

(4 citation statements)

References 19 publications

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“…The thruster voltage equation shows the balanced relationship of the voltage in the thruster armature; according to this equation, the current signal under the specified input voltage signal of the thruster system can be obtained [23][24][25]. The equation is expressed as:…”

Section: Thruster Dynamics Modelmentioning

confidence: 99%

“…where Ld and Lq are the inductances of the d-axis and q-axis, respectively, and ψf is the permanent magnet rotor flux linkage. Substituting (2) into (1), the thruster voltage equation can be obtained as: The thruster voltage equation shows the balanced relationship of the voltage in the thruster armature; according to this equation, the current signal under the specified input voltage signal of the thruster system can be obtained [23][24][25]. The equation is expressed as:…”

Section: Thruster Dynamics Modelmentioning

confidence: 99%

“…In the process of thruster fault diagnosis, the fault characteristic parameters k and B, when estimated individually, will deviate from their classification. If the classification is strictly via Equation (24), some data will be too close to the decision boundary, or even cannot be divided. To solve the above problems, the above formula is adjusted as:…”

Section: Fault Pattern Classificationmentioning

confidence: 99%

See 2 more Smart Citations

Fault Diagnosis Method for an Underwater Thruster, Based on Load Feature Extraction

2022

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Targeting the problem of fault diagnosis in magnetic coupling underwater thrusters, a fault pattern classification method based on load feature extraction is proposed in this paper. By analyzing the output load characteristics of thrusters under typical fault patterns, the load torque model of the thrusters is established, and two characteristic parameters are constructed to describe the different fault patterns of thrusters. Then, a thruster load torque reconstruction method, based on the sliding mode observer (SMO), and the fault characteristic parameter identification method, based on the least square method (LSM), are proposed. According to the identified fault characteristic parameters, a thruster fault pattern classification method based on a support vector machine (SVM) is proposed. Finally, the feasibility and superiority of the proposed aspects are verified, through comparative simulation experiments. The results show that the diagnostic accuracy of this method is higher than 95% within 5 seconds of the thruster fault. The lowest diagnostic accuracy of thrusters with a single failure state is 96.75%, and the average diagnostic accuracy of thrusters with five fault states is 98.65%.

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Section: Thruster Dynamics Modelmentioning

confidence: 99%

Section: Thruster Dynamics Modelmentioning

confidence: 99%

Section: Fault Pattern Classificationmentioning

confidence: 99%

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Fault Diagnosis Method for an Underwater Thruster, Based on Load Feature Extraction

2022

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“…Based on the frequency information provided by the WAMS, the time varying characteristics of a low frequency oscillation of the Guizhou Power Grid was investigated in [44]. A wide-area nonlinear robust controller was proposed for the voltage regulation of the multi-machine power systems [45]. The controller shows good performance in the different system operation parameters and states.…”

Section: Advances In Power System Stability Analysismentioning

confidence: 99%

Research focuses and advance technologies of smart grid in recent years

Mei

Chen

2012

Chin. Sci. Bull.

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The smart grid is attracting more and more attention in electrical engineering for its promising features. However, huge challenges also exist in the implementations of the smart grid, such as high penetration of renewable energy resources, low carbon electricity and cyber-physical security, etc. In this paper, the latest progress of some research focuses and advance technologies in the development of smart grid is reviewed.

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