DocumentCode :
2594474
Title :
A nonlinear interior point based optimal power flow algorithm incorporating series FACTS devices
Author :
Peng, Ye ; Jiahua, Song ; Yumin, Ye ; Qingquan, Jia ; Jing, Li
Author_Institution :
North China Electr. Univ., Baoding, China
Volume :
2
fYear :
2003
fDate :
13-17 July 2003
Abstract :
This paper presents a new method to incorporate flexible AC transmission system (FACTS) devices in optimal power flow (OPF) problem. Through power injection model of FACTS devices, their control to power system is expressed as the additional power equations at the nodes and the branches where FACTS devices are located. These additional power equations are convenient in combination with OPF algorithm based on nonlinear interior point (IP) programming. A two-part calculation structure is introduced in order to make full use of the existing OPF algorithm and related software in EMS. Digital simulations of the modified IEEE 30-node system located with multiple FACTS devices are present to test the effectiveness and efficiency of this work. The study also shows that FACTS devices are capable of providing an economically and technically attractive solution to power systems congestion problems.
Keywords :
digital simulation; energy management systems; flexible AC transmission systems; load flow; nonlinear programming; power transmission control; power transmission economics; EMS; FACTS devices; OPF; digital simulations; energy management system; flexible AC transmission system; nonlinear interior point algorithm; optimal power flow; power equations; power injection model; power system control; power system economic; Control system synthesis; Digital simulation; Flexible AC transmission systems; Load flow; Medical services; Nonlinear equations; Power system control; Power system modeling; Power systems; Software algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Society General Meeting, 2003, IEEE
Print_ISBN :
0-7803-7989-6
Type :
conf
DOI :
10.1109/PES.2003.1270430
Filename :
1270430
Link To Document :
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