TY - GEN
T1 - Automatic preprocessing scheme for real-time digital simulation
AU - Noh, Hyeokjin
AU - Lee, Byongjun
AU - Song, Jiyoung
AU - Lee, Chulkyun
N1 - Funding Information:
ACKNOWLEDGMENT This work was supported by “Human Resources program in Energy Technology” of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) granted financial resource from the Ministry of Trade, Industry & Energy, Republic of Korea (No. 20174030201820) and this research was supported by Korea Electric Power Corporation. (Grant number: R17XA05-4)
Funding Information:
This work was supported by “Human Resources program in Energy Technology” of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) granted financial resource from the Ministry of Trade, Industry & Energy, Republic of Korea (No. 20174030201820) and this research was supported by Korea Electric Power Corporation. (Grant number: R17XA05-4)
Publisher Copyright:
© 2018 IEEE
PY - 2018/11/26
Y1 - 2018/11/26
N2 - This paper presents the data preprocessing algorithm for real time digital simulation of large power systems based on energy management system data. Recently, the power systems have become complicated due to increase of distributed power, including renewable energy and High Voltage Direct Current & Flexible AC Transmission System. In order to overcome the technological limitations, there are more and more cases of analyzing real time operation characteristics through Real-Time Digital Simulator. However, because the Real-Time Digital Simulator has a load unit limit per rack, it is difficult to simulate large scale power systems. When analyzing large scale power systems, we often use data obtained from actual power system operation data through Energy Management System. In this paper, we propose a solution to solve various errors and reduce the load unit limit for real time digital simulation by processing Energy Management System data.
AB - This paper presents the data preprocessing algorithm for real time digital simulation of large power systems based on energy management system data. Recently, the power systems have become complicated due to increase of distributed power, including renewable energy and High Voltage Direct Current & Flexible AC Transmission System. In order to overcome the technological limitations, there are more and more cases of analyzing real time operation characteristics through Real-Time Digital Simulator. However, because the Real-Time Digital Simulator has a load unit limit per rack, it is difficult to simulate large scale power systems. When analyzing large scale power systems, we often use data obtained from actual power system operation data through Energy Management System. In this paper, we propose a solution to solve various errors and reduce the load unit limit for real time digital simulation by processing Energy Management System data.
KW - Energy Management System
KW - Large Scale Power Systems
KW - Preprocessing Algorithm
KW - Python
KW - Real Time Digital Simulator
UR - http://www.scopus.com/inward/record.url?scp=85059931116&partnerID=8YFLogxK
U2 - 10.1109/IAS.2018.8544675
DO - 10.1109/IAS.2018.8544675
M3 - Conference contribution
AN - SCOPUS:85059931116
T3 - 2018 IEEE Industry Applications Society Annual Meeting, IAS 2018
BT - 2018 IEEE Industry Applications Society Annual Meeting, IAS 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE Industry Applications Society Annual Meeting, IAS 2018
Y2 - 23 September 2018 through 27 September 2018
ER -
