Title :
An Auto-Generated Method of Day-Ahead Forecast Powerflow for Security Correction of Power Grid Maintenance Scheduling
Author :
Xie, Chang ; Liu, Wenying ; Wen, Jing ; Wang, Jiaming
Author_Institution :
North China Electr. Power Univ., Beijing, China
Abstract :
Traditional method of security correction of power grid maintence scheduling exists problems, such as rough calculations, larger error of the results.The using of day-head forecast powerflow for security correction of power grid maintence scheduling will solve the above problem. This paper presents a auto-generated methods of day-ahead forecast power flow for security correction of power grid maintence scheduling, which will automatically generate the day-head forecast power flow and improve the precision and accuracy of security correction work of power grid maintence scheduling. Fistly, based on the powerflow calculation model of security correction of power grid maintence scheduling, analysis the Parameters constitute of day-head power grid normal operation method. Secondly, auto-generate the Parameters used for day-head forecast powerflow calculation by data processing and data fitting of Multiple Data Sources.Thirdly, by automatic adjust of the power, auto-generate the day-head forecast power flow. By calculating a practical example, this paper comparative analysis of day-head forecast powerflow, off-line powerflow and actual powerflow. The result verify the validity and practicability of this method.
Keywords :
load flow control; load forecasting; maintenance engineering; power grids; power system security; scheduling; actual powerflow; autogenerated method; data fitting; data processing; day ahead forecast power flow; day head power grid normal operation method; multiple data sources; off-line powerflow; power grid maintenance scheduling; powerflow calculation model; security correction; Fitting; Generators; Load flow; Planning; Power grids; Reactive power; Security;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
Conference_Location :
Shanghai
Print_ISBN :
978-1-4577-0545-8
DOI :
10.1109/APPEEC.2012.6307707