Power Quality of Synchronous Generator under Conditions of Starting Large Induction Motors Simultaneously and Sequentially

Gumilar, Langlang; Nugroho, Wahyu Sapto; Sholeh, Mokhammad

doi:10.1109/iceeie52663.2021.9616678

Cited by 3 publications

(2 citation statements)

References 18 publications

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“…In transient operating conditions, which are caused by external disturbances in the power system, short circuits, switching operations, or switching on synchronous or induction motors of high capacity, the excitation system should ensure an increased value of field winding direct current in the shortest possible time [35,36]. Thus, the ideal excitation system under disturbance states is when the unit is able to maintain a constant voltage at the generator terminals during variations of steady-state operating conditions.…”

Section: Synchronous Generator Under Starting Large Induction Motormentioning

confidence: 99%

Power Compatibility of Induction Motors in Industrial Grids Containing Synchronous Generators

Varetsky,

Gajdzica

2024

Energies

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Starting an induction motor causes voltage sag in the industrial grid that may disturb the operation of grid equipment. Direct-on-line starting is the simplest and most cost-effective method for starting induction motors, but also the most problematic. Large industries often use internal power plants with synchronous generators and starting powerful motors may impact the generator operations. The synchronous generators could be operated with the automatic or manual mode of voltage control. As the operation experience proves, the generator voltage control mode has a significant impact on the transient behaviours in the industrial power grid when starting a large induction motor. This article presents a case study of the synchronous generator tripping within a true medium-voltage industrial grid during the direct-on-line starting of a large induction motor driving the feed water pump. An analysis of the generator protection logs after the tripping showed that the synchronous generator was controlled in manual mode and its protection relay settings were exceeded. The transients initiated by induction motor starts were studied for possible configurations and operating conditions of the grid using a model developed on the Matlab/Simulink Software platform. The simulations have shown that concern about starting large motors in industrial grids containing internal synchronous generators needs to be solved considering the grid configurations and the coordination of generator protection and control devices.

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Section: Synchronous Generator Under Starting Large Induction Motormentioning

confidence: 99%

Power Compatibility of Induction Motors in Industrial Grids Containing Synchronous Generators

Varetsky,

Gajdzica

2024

Energies

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“…Induction machines are a critical component of many industrial processes and their reliability is crucial to ensure the efficiency and productivity of those processes [1][2][3]; the trend towards electric vehicles may result in even greater interest in this type of electric motor [4][5][6][7][8]. Induction machines are commonly used in industry due to their simplicity, reliability, efficiency, cost effectiveness, robustness, and ease of control using variable frequency drives and other control systems [9,10].…”

Section: Introductionmentioning

confidence: 99%

Enhancing the Efficiency of Failure Recognition in Induction Machines through the Application of Deep Neural Networks

Pietrowski,

Górny

2024

Energies

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The objective of the investigation was to increase the effectiveness of damage detection in the stator of the squirrel-cage induction machine. The analysis aimed to enhance the operational trustworthiness of the squirrel-cage induction machine by employing nonintrusive diagnostic methods based on a current signal and modern artificial intelligence methods. The authors of the study introduced a diagnostic technique for identifying multiphase interturn short circuits of stator winding. These short circuits are one of the most common faults in induction machines. The proposed method focusses on deriving a diagnostic signal from the phase-current waveforms of the machine. The noninvasive nature of the diagnostic technique presented is attributed to the application of the field model of electromagnetic phenomena to determine the diagnostic signal. For this purpose, a field model of a squirrel-cage machine was developed. The waveforms of phase currents obtained from the field model were used as input into an elaborated machine failure neural classifier. A deep neural network was used to develop a neural classifier. The effectiveness of the developed classifier has been experimentally verified, and the obtained results have been presented, concluded, and discussed. The scientific novelty presented in the article is the presentation of research results on the use of a neural classifier to detect damage in all phases of the stator winding at an early stage of its appearance. The features of this type of damage are very difficult to observe in signal waveforms such as a phase current or torque.

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A new starting capability assessment method for induction motors in an industrial islanded microgrid with diesel generators and energy storage systems

Zhang

Zhou

Meng

et al. 2022

Electric Power Systems Research

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Power Quality of Synchronous Generator under Conditions of Starting Large Induction Motors Simultaneously and Sequentially

Cited by 3 publications

References 18 publications

Power Compatibility of Induction Motors in Industrial Grids Containing Synchronous Generators

Power Compatibility of Induction Motors in Industrial Grids Containing Synchronous Generators

Enhancing the Efficiency of Failure Recognition in Induction Machines through the Application of Deep Neural Networks

A new starting capability assessment method for induction motors in an industrial islanded microgrid with diesel generators and energy storage systems

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