DocumentCode :
3468064
Title :
Day ahead clearing algorithm &its application for East China Electric Power Market
Author :
Ge, Zhaoqiang ; Wang, Dexing ; Yang, Libing ; Ge, Minhui ; Wang, Liang
Author_Institution :
East China Grid, Shanghai
fYear :
2008
fDate :
6-9 April 2008
Firstpage :
210
Lastpage :
213
Abstract :
The mathematical model and realization method of market clearing algorithm are introduced in this paper. Compared to traditional economic dispatch method, the security constrained economic dispatch (SCED) is more difficult to be applied in such a large scale grid company as East China Grid. In Day Ahead market, the Constrained Pre-Dispatch Scheduling (CPDS) process was executed to clear market. CPDS contains eight modules: Dispatch Scheduling Initialization (DSI, DSI2), Unconstrained Dispatch (UNCD), Network Data Preparation (NDP), Network Security Analysis (NSA), Network Constrained Dispatch (NCD), Dispatch Scheduling Publication (DSP) and Save Case (SAV). After decoupling the security and optimization, the non-linear constrains, such as power flow limits, can be linearized by sensitivity factor. Then, SCED is a typical large scale linear programming with a lot of linear constrains.
Keywords :
load dispatching; power grids; power markets; power system security; scheduling; CPDS process; East China grid; constrained pre-dispatch scheduling; day ahead clearing algorithm; electric power market; large scale linear programming; optimization; power system security; realization method; Constraint optimization; Data security; Digital signal processing; Economic forecasting; Large-scale systems; Linear programming; Load flow; Mathematical model; Power generation economics; Power systems; Linear Programming; Network Security Analysis; Security Constrained Economic Dispatch;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
Conference_Location :
Nanjuing
Print_ISBN :
978-7-900714-13-8
Electronic_ISBN :
978-7-900714-13-8
Type :
conf
DOI :
10.1109/DRPT.2008.4523404
Filename :
4523404
Link To Document :
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