Prediction of the transient performance of induction machines

Lin, W.C.; Lin, Ching-Fuh; Huang, Ching-Lien; Chen, S.L.; Wang, Y.T.

doi:10.1016/0378-7796(86)90018-0

Cited by 6 publications

(3 citation statements)

References 4 publications

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“…The investigation of the transient behavior of three-phase induction motors has been an attractive subject [1]- [5] for a long time owing to their practical applications in industry. For prediction of transient phenomena, appropriate modeling of induction machines is very important.…”

Section: Introductionmentioning

confidence: 99%

Transient Performance of Cascaded Induction Motors Using UPQC

Jayashree¹,

Balaji²,

Balambiga³

2017

IJERT

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In this paper, the effect of Unified Power Quality Conditioner (UPQC) on transient performance of Common-Shaft Cascade Induction Motors (CSCIM) are performed and commonly used in deep well digging plant (i.e. oil wells). UPQC analyze these events include system starting, supply voltage sag and swells as well as plugging. Maintaining a power distribution bus voltage near sinusoidal at rated magnitude and frequency is known as power quality. The series converter used for protecting a sensitive load from sag, swell and the parallel converter for power factor correction, load balancing and regulation of bus voltage. The hybrid devices consist of two voltage source converters (VSCs) which are linked through a Direct Current (dc) bus. UPQC is implemented using controllers PI controller, for the purpose of Analyzing the Results. The open loop system and the closed loop system are simulated using Simulink and compared. The simulation results show that the UPQC has a great capability in order to enhance the transient performance .

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Section: Introductionmentioning

confidence: 99%

Transient Performance of Cascaded Induction Motors Using UPQC

Jayashree¹,

Balaji²,

Balambiga³

2017

IJERT

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“…With the rapid development of high voltage power system and the workload of maintenance and inspection increasing dramatically, it is necessary to adopt new technology to replace manual maintenance mode, The manned helicopter is used to patrol high voltage transmission line [1], while the cost is too high. In literature [2], the unmanned helicopter is applied, but there are many problems that have limited its widely used, such as poor patrol precision, short patrol distance and short lifetime of the unmanned helicopter and so on.…”

Section: Introductionmentioning

confidence: 99%

The Application of Heterogeneous Integrated Network and Security Mechanism Research in High Voltage Transmission Line Monitoring System

Zhang¹,

Gong

Ni³

et al. 2012

AMR

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In order to meet the requirement of high voltage transmission lines monitoring system, this paper presents a heterogeneous integrated network which contains Optical Ethernet, broadband wireless communication networks and wireless sensor networks in high voltage transmission line monitoring system. Moreover, considering the characteristics of the heterogeneous integrated communication network and analyzing the features of service security mechanism in communication network, this paper proposes an authentication and encryption security system, which has certain value in the authentication and encryption aspects to electric power system communication.

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“…Manned helicopter inspection was first used in some developed countries [2]. However, its cost is high, and there are safety problems [3]. Unmanned aerial vehicle (UAV) inspection has more advantages, such as convenient carrying, high efficiency, simple, reliable, quick response, low cost, rich load, using broadly, low environmental request to take-off and land, autonomous flight and so on [4].…”

Section: Introductionmentioning

confidence: 99%

Insulator recognition based on convolution neural network

Yang

Wang

2017

MATEC Web Conf.

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Abstract. Insulator fault detection plays an important role in maintaining the safety of transmission lines. Insulator recognition is a prerequisite for its fault detection. An insulator recognition algorithm based on convolution neural network (CNN) is proposed. A dataset is established to train the constructed CNN. The correct rate is 98.52% for 1220 training samples and the accuracy rate of testing is 89.04% on 1305 samples. The classification result of the CNN is further used to segment the insulator image. The test results show that the proposed method can realize the effective segmentation of insulators.

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Prediction of the transient performance of induction machines

Cited by 6 publications

References 4 publications

Transient Performance of Cascaded Induction Motors Using UPQC

Transient Performance of Cascaded Induction Motors Using UPQC

The Application of Heterogeneous Integrated Network and Security Mechanism Research in High Voltage Transmission Line Monitoring System

Insulator recognition based on convolution neural network

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