Title :
Ultra-Real time Short Circuit Current Computing Based on Ultra-Short term Load Forecasting
Author :
Pan, Rui ; Liu, Junyong ; Wang, Minkun ; Liu, Ying ; Hou, Hefei
Author_Institution :
Key Lab. of Smart Grid, Sichuan Univ., Chengdu, China
Abstract :
On account of the need of real-time monitor and alarm in smart grid, a new approach to ultra-real time intelligent computation of short circuit current is proposed. The extrapolation of grid state is conducted by ultra-short term load forecasting of nodes, and a short circuit current identification method based on GRNN is adopted to conduct the scan the short circuit current level of buses in short period time about whole grid, by which the intelligent identification is implemented. The approach provides a new idea for the application of fast simulation modeling (FSM) in ultra-real time intelligent monitor, and the technical support to aid in decision (AID) making of intelligent dispatch. The feasibility and validity of this approach is verified by the test on IEEE30 system.
Keywords :
extrapolation; load forecasting; neural nets; power engineering computing; power system faults; regression analysis; smart power grids; GRNN; IEEE30 system; fast simulation modeling; general regression neural network; grid state extrapolation; short circuit current identification method; smart grid; ultra-real time short circuit current computing; ultra-short term load forecasting; Circuit faults; Grid computing; Load forecasting; Power system interconnection; Power system modeling; Power system simulation; Power system stability; Quantum computing; Short circuit currents; Smart grids;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4812-8
Electronic_ISBN :
978-1-4244-4813-5
DOI :
10.1109/APPEEC.2010.5448219
