A Smart Grid Client-Side Testing Platform for Monitoring

A Smart Grid Client-Side Testing Platform for Monitoring

Qiu Weiwei Guo Dewei Zhang Chunyan Xu Yunxia Wang Gan 

School of Mechanical Engineering Shanghai University of Engineering Science, Shanghai, China

Corresponding Author Email: 
38401293@qq.com
Page: 
17-20
|
DOI: 
http://dx.doi.org/10.18280/mmep.020305
Received: 
N/A
|
Accepted: 
N/A
|
Published: 
31 January 2015
| Citation

OPEN ACCESS

Abstract: 

Power measurement circuit is calculated by the current and voltage data from the chip microcomputer, the power data sent to the main control circuit of motor. Main control circuit connected to the keyboard and display circuit, current, voltage, power of the motor and other data displayed in real time on a monitor, and the motor current and voltage according to the set of data to control the motor. This system also contains the RS485 interface, Ethernet-interface and CAN bus interface, supporting MODBUS, TCP/IP communication protocols, etc. It uploads the collected data and some data after processing to the sever terminal through the bus connection. The further data processing and monitoring can be controlled by the host computer. Realization for prevention of power before the accident and after rapid treatment. It is important for construction of the smart grid to form a unified system and intelligent client-side interaction, coordination.

Thank you for your patience and cooperation.

Keywords: 

Smart grid, Motor protection, Software anti-jamming, Cycle monitoring

1. Overview
2. It Is Used as A Motor Protection
3. Research and Development Trends
4. Circuit Design and Calculation
5. Dynamic Monitoring
6. Software Anti-Jamming
7. Conclusion
8. Acknowledgements

This work is supported by Shanghai University of Engineering Science High Level Project to Cultivate Special (Project No. cs1401012).

  References

[1] CHENG Wushan, “Intelligent control of the complex technology process based on adaptive pattern clustering and feature map,” [J], Journal of Mathematical Problems in Engineering, 2008(6):256-263. .

[2] Meng Yongpeng, Jia Shenli, Rong Mingzhe, “Application of frequency band energy decomposition using wavelet packet in condition monitoring of circuit breakers,” Xi’an Jiao-tong University, 2004, 38(10):1013-1017.

[3] Nathan D. Jacob, William M. McDermid, Behzad Kordi, “Online partial discharge measurement of a high-voltage direct current converter wall-bushing,” [J], High Voltage Engineering, 2011, 37(11):2636-2641.

[4] Meng Y.P., Jia S.L., Rong M.Z., “Mechanical condition moni-toring of vacuum circuit breakers using artificial neural network,” [J], IEICE Trans. on Electronics, VOL. E88-C, 2005(8):1652-1658.

[5] FLURSCHEIM, C.H., “Switchgear, a review of progress,” Proc. IEE., 2008, 10(3) A, p.239.

[6] CHORLTON, A., “Conception of the British 400kV system in design criteria and equipment for transmission at 400kV and higher voltages,” IEE Conf. Publ., 15, 2007, p.9.

[7] Cruz S.M.A., Cardoso A.J.M., “Rotor cage fault diagnosis in three-phase induction motors by extended Park’s vector approach,” [J], Electric Machines and Power Systems, 2000, 28(3): 289-299.

[8] Nejjari H., Bnbouzid M.E.H., “Monitoring and diagnosis of induction motors electrical faults using a current Park’s vector pattern learning approach,” [J], IEEE Transactions on Industry Applications, 2000, 36(3): 730-735.