To address the transient voltage issues in the receiving-end power grid, this paper proposes a transient voltage control method that fully exploits the reactive power support potential of new energy stations and consi...
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The aluminum foil mill is an important industrial production equipment. To reduce operation and maintenance costs and prevent breakdowns in the rolling mill, it is necessary to analyze and predict the data of differen...
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CBTC vehicle equipment is one of the key equipment of CBTC system, in the CBTC system test, the test scenario of vehicle equipment and the interface with other equipment such as trackside equipment and ATS equipment a...
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With the rapid development of Cyber-Physical Systems (CPS), security concerns have increasingly garnered attention. This paper focuses on the security threats faced by smart grid systems, particularly false data injec...
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In this paper, we study the receding horizon control (RHC) stabilization of continuous-time mean-field system. An explicit RHC controller is obtained by introducing a cost function with two terminal matrices and the c...
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Aiming at the problems of multiple types of power quality composite disturbances,strong feature correlation and high recognition error rate,a method of power quality composite disturbances identification based on mult...
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Aiming at the problems of multiple types of power quality composite disturbances,strong feature correlation and high recognition error rate,a method of power quality composite disturbances identification based on multiresolution S-transform and decision tree was ***,according to IEEE standard,the signal models of seven single power quality disturbances and 17 combined power quality disturbances are given,and the disturbance waveform samples are generated in ***,in order to improve the recognition accuracy,the adjustment factor is introduced to obtain the controllable time-frequency resolution through multi-resolution S-transform time-frequency domain *** this basis,five disturbance time-frequency domain features are extracted,which quantitatively reflect the characteristics of the analyzed power quality disturbance signal,which is less than the traditional method based on ***,three classifiers such as K-nearest neighbor,support vector machine and decision tree algorithm are used to effectively complete the identification of power quality composite *** results showthat the classification accuracy of decision tree algorithmis higher than that of K-nearest neighbor and support vector ***,the proposed method is compared with other commonly used recognition *** results show that the proposedmethod is effective in terms of detection accuracy,especially for combined PQ interference.
With the widespread use of power electronic equipment, accurately identifying soft faults in power electronic converters is crucial for the stable and reliable operation of power electronic equipment. This paper propo...
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Health status assessment is a key procedure for fault prediction and health management for complex systems. To accurately evaluate the health status of complex systems, this paper proposes a health assessment method b...
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Dear Editor, This letter investigates the prescribed-time stabilization of linear singularly perturbed systems. Due to the numerical issues caused by the small perturbation parameter, the off-the-shelf control design ...
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Dear Editor, This letter investigates the prescribed-time stabilization of linear singularly perturbed systems. Due to the numerical issues caused by the small perturbation parameter, the off-the-shelf control design techniques for the prescribed-time stabilization of regular linear systems are typically not suitable here. To solve the problem, the decoupling transformation techniques for time-varying singularly perturbed systems are combined with linear time-varying high gain feedback design techniques.
In order to meet the needs of railway electrical departments for "state repair" of track circuit compensation capacitors and timely and effective monitoring of compensation capacitor status, this paper propo...
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