Abstract
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.
Original language | English |
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Title of host publication | 2018 IEEE Industry Applications Society Annual Meeting, IAS 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781538645369 |
DOIs | |
Publication status | Published - 2018 Nov 26 |
Event | 2018 IEEE Industry Applications Society Annual Meeting, IAS 2018 - Portland, United States Duration: 2018 Sept 23 → 2018 Sept 27 |
Publication series
Name | 2018 IEEE Industry Applications Society Annual Meeting, IAS 2018 |
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Conference
Conference | 2018 IEEE Industry Applications Society Annual Meeting, IAS 2018 |
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Country/Territory | United States |
City | Portland |
Period | 18/9/23 → 18/9/27 |
Bibliographical note
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
Keywords
- Energy Management System
- Large Scale Power Systems
- Preprocessing Algorithm
- Python
- Real Time Digital Simulator
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment