Title :
A practical super short term load forecast method and its implementations
Author :
Ding, Qia ; Lu, Jiangang ; Liao, Huaiqing
Author_Institution :
Nanjing Autom. Res. Inst., China
Abstract :
The super short term load forecast (SSTLF) is important for automatic generation control (AGC) in on-line power system and plays a great role in the electricity market. According to SSTLF´s requirements of fast-calculation and high-precision, this paper implements a practical method based on the pattern of daily load curve in several Chinese provinces´ real-time EMS with different load characteristic. Some important aspects such as bad data processing and current load level are also discussed. The implemental results demonstrate that this method is fast, accurate, stable and suited to most system.
Keywords :
energy management systems; load forecasting; power generation control; power markets; Chinese provinces; EMS; automatic generation control; current load level; daily load curve; data processing; electricity market; load characteristic; on-line power system; real-time energy management systems; super short term load forecast; Data processing; Economic forecasting; Load forecasting; Medical services; Power generation economics; Power system modeling; Power system planning; Power system reliability; Real time systems; Stochastic processes;
Conference_Titel :
Power Systems Conference and Exposition, 2004. IEEE PES
Print_ISBN :
0-7803-8718-X
DOI :
10.1109/PSCE.2004.1397433
