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

fYear

2004

fDate

10-13 Oct. 2004

Firstpage

483

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Systems Conference and Exposition, 2004. IEEE PES

Print_ISBN

0-7803-8718-X

Type

conf

DOI

10.1109/PSCE.2004.1397433

Filename

1397433