Development of Fault Management Dispatcher Training Simulator for TDAS in Korea

In-Yong Seo, Sang-Ok Kim, Bok-Nam Ha

Smart Energy Lab, KEPCO Research Institute, 65 Munjiro, Yuseong, Daejeon, Korea.

DOI: 10.4236/eng.2013.51B002                

Abstract

 

A fault management dispatcher training simulator for large-scale Distribution Automation System (TDAS) is developed to train operators in distribution control center. This simulator is composed of independent simulation server and operator consoles and can be used for network analysis, network operation, fault management and evaluation. TDAS DB is duplicated online to the simulation server keeping the data security. The system can model distribution network penetrated with distributed generations (DG) using the real data from the TDAS DB. Network fault scenarios are automatically generated by calculating fault current and generating fault indicators. Also, manual entry of cry wolf alarm is available. Moreover, operation solution for scenario of fault isolation and service restoration is generated automatically so that trainee can check their operation result. Operator actions during training session are saved and can be played back as well as displayed on one-line diagram pictures.

Keywords

Distribution Automation System; Fault Management Dispatcher Training Simulator; Distributed Generation

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	P. I. Hwang, S. J. Ahn, S. I. Hur, Y. T Yoon, S. I. Moon, “Adaptive Step Size Method for the Power System Mod-el of Dispatcher Training Simulator,” Proceedings of the 2010 Power and Energy Society General Meeting, July 2010, pp. 1-7.
[2]	S. V. Vadari, M. J. Montstream, H. B. Ross, “An Online Dispatcher Training Simulator Function for Real-Time Analysis and Training,” IEEE Transactions on Power Systems, Vol. 10, No. 4, 1995, pp. 1798-1804
[3]	D. Bolborici, “ExpDTS - Hybrid Dis-patcher Training Simulator Expert System for operator assistance and evaluation,” Proceedings of the 2009 Power Tech, July 2009, pp. 1-5.
[4]	R. Apel, C Jabo-rowicz and R. Kussel, “Fault Management in Electrical Distribution Networks,” Proceedings of CIRED2001, June 2001, Conference Publication No. 482.
[5]	Krishna. K. Agarwal, J. S. Candlish, T. L. Carney, “Automatic Fault Location and Isolation System for the Electric Traction Overhead Lines,” Proceedings of the 2002 ASME/IEEE Joint Rail Conference, April 2002, pp. 117-122.
[6]	C. H. Chu, Y. S. Yun, S. C. Kwon and I. K. Song, “Design of Application Model for Network Analysis in Smart Distribution Management,” Proceedings of the 21st International Conference and Exhibition on Electricity Distribution, Frankfurt, 6-9 June 2011, Paper 0224.
[7]	S. H. Lee, S. I. Lim and B. S. Ahn, “Service restoration of primary distribution systems based on fuzzy evaluation of multi-criteria,” IEEE Transactions on Power Systems, Vol. 13, No. 3, 1998, pp. 1156-1163.
[8]	S. I. Lim, S. J. Lee, M. S. Choi, D. J. Lim and B. N. Ha, “Service Restoration Methodology for Multiple Fault Case in Distribution Systems,” IEEE Transactions on Power Systems, Vol. 21, No. 4, 2006, pp. 1638-1644