Won, Dong-Jun
(Research Institute of Engineering Science, Seoul National University)
,
Chung, Il-Yop
(School of Electrical Engineering and Computer Science, Seoul National University)
,
Kim, Joong-Moon
(New Business Planning Team, LG Industrial Systems Co., Ltd.)
,
Ahn, Seon-Ju
(School of Electrical Engineering and Computer Science, Seoul National University)
,
Moon, Seung-Il
(School of Electrical Engineering and Computer Science, Seoul National University)
,
Seo, Jang-Cheol
(New Business Planning Team, LG Industrial Systems Co., Ltd.)
,
Choe, Jong-Woong
(New Business Planning Team, LG Industrial Systems Co., Ltd.)
Power quality monitoring is the cornerstone for power quality analysis, diagnosis and improvement. The measurement of power quality (PQ) evolves from instantaneous metering to continuous monitoring. Furthermore, recent technologies enable us to construct more flexible, reliable, rapid and economical...
Power quality monitoring is the cornerstone for power quality analysis, diagnosis and improvement. The measurement of power quality (PQ) evolves from instantaneous metering to continuous monitoring. Furthermore, recent technologies enable us to construct more flexible, reliable, rapid and economical power quality monitoring system (PQMS). Therefore, this paper presents an improved PQMS with a new distributed monitoring structure. The proposed PQMS consists of a PQ meter, PQ analyzer and GUI. The PQ meter only collects raw data and the PQ analyzer performs power quality analysis. It has several advantages compared to conventional structures in economic efficiency, modularity, speed, etc. PQ monitoring algorithms to catch steady-state trends and to detect PQ events are also adapted to the proposed structure. Using the proposed structure and monitoring algorithm, a prototype PQMS is constructed and real-time testing is performed.
Power quality monitoring is the cornerstone for power quality analysis, diagnosis and improvement. The measurement of power quality (PQ) evolves from instantaneous metering to continuous monitoring. Furthermore, recent technologies enable us to construct more flexible, reliable, rapid and economical power quality monitoring system (PQMS). Therefore, this paper presents an improved PQMS with a new distributed monitoring structure. The proposed PQMS consists of a PQ meter, PQ analyzer and GUI. The PQ meter only collects raw data and the PQ analyzer performs power quality analysis. It has several advantages compared to conventional structures in economic efficiency, modularity, speed, etc. PQ monitoring algorithms to catch steady-state trends and to detect PQ events are also adapted to the proposed structure. Using the proposed structure and monitoring algorithm, a prototype PQMS is constructed and real-time testing is performed.
* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.
문제 정의
For these reasons, this paper presents a new PQMS with an improved realization of the distributed monitoring system. Firstly, the new trends in PQ monitoring are investigated.
This paper has proposed the improved PQMS with an innovative distributed monitoring structure. In this system, the conventional PQ monitor is divided into PQ meter and PQ analyzer for cost reduction and efficient data processing.
대상 데이터
The prototype of proposed PQMS is constructed. The PQ meter consists of analog input module, signal conditioning module, data acquisition module and data communication module.
test system is constructed. The test system consists of a PQ meter, PQ analyzer, GUI, 3-phase voltage source simulator and loads. The 3-phase voltage source simulator can produce voltage with arbitrary magnitude and frequency.
참고문헌 (18)
Badrul H. Chowdhury, 'Power Quality,' IEEE Potentials, vol. 20, Issue 2, pp. 5-11, April-May 2001
Mark McGranaghan, ‘Trends in Power Quality Monitoring,’ IEEE Power Engineering Review, vol. 21, Issue 10, pp 3-9, 21, Oct. 2001
Jos Arrillaga, Math H. J. Bollen, Neville R. Watson, 'Power Quality Following Deregulation,' Proceedings of IEEE, vol. 88, Issue 2, pp 246-261, Feb. 2000
Afroz K. Khan, ‘Monitoring Power for the Future,’ Power Engineering Journal, vol. 15, Issue 2, pp 81- 85, 21, April 2001
Gregory B. Rauch, D. Daniel Sabin, et. al., ‘Implementing System-wide Power Quality Monitoring Plans,’ in Proc. 1996 IEEE Power Engineering Society Transmission and Distribution Conf., pp. 37-44
Christopher J. Melhorn, Mark F. McGranaghan, 'Interpretation and Analysis of Power Quality Measurements,' IEEE Trans. Industry Applications, vol. 31, No. 6, pp 1363-1370, Now.-Dec. 1995
Chung-Ping Young, et. al., 'Real-Time Intranet- Controlled Virtual Instrument Multiple-Circuit Power Monitoring,' IEEE Trans. Instrumentation and Measurement, vol. 49, No. 3, pp 579-584, June 2000
A. Lakshmikanth, Medhat M. Morcos, ‘A Power Quality Monitoring System:A Case Study in DSPBased Solutions for Power Electronics,’ IEEE Trans. Instrumentation and Measurement, vol. 50, No. 3, pp 724-731, June 2001
J. Arrillaga, N. R. Watson, S. Chen, Power System Quality Assessment, New York: Wiley, 2000
Math H. J. Bollen, Understanding Power Quality Problems: Voltage Sags and Interruptions, New York: IEEE Press, 2000
Roger C. Dugan, et. al., Electrical Power Systems Quality, McGrew-Hill, 1996
Jos Arrillaga, et. al., Power System Harmonic Analysis, New York: Wiley, 1997
D. L. Brooks, R. C. Dugan, et. al., 'Indices for Assessing Utility Distribution System RMS Variation Performance,' IEEE Trans. Power Delivery, vol. 13, No. 1, pp 254-259, Jan. 1998.
J. Douglas, ‘Solving Problems of Power Quality,’ EPRI Journal, vol. 18, No. 8, pp 6-15, Dec. 1993
A. M. Gaouda, M. M. A. Salama, M. R. Sultan, 'Automated Recognition System for Classifying and Quantifying the Electric Power Quality,' Proceedings of 8 $^th$ International Conference on Harmonics and Quality of Power, vol. 1, pp 244-248, 1998
G. T. Heydt, 'Problematic Power Quality Indices,' 2000 IEEE Power Engineering Society Winter Meeting, vol. 4, pp 2838-2842, 2000
M. H. J. Bollen, 'Voltage Sags in Three-Phase Systems,'IEEE Power Engineering Review, vol. 21, Issue 9, pp 8-11, 15, Sept. 2001
EEE Recommended Practice for Monitoring Electric Power Quality, IEEE Std 1159-1995.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.