DocumentCode :
3729626
Title :
Coordinated control of multi-FACTS based on improved teaching-learning algorithm to improve ATC
Author :
Peng Zhang;Wei Hu;Wei Xu;Faqi Yan
Author_Institution :
State Key Lab of Power Systems, Dept. of Electrical Engineering, Tsinghua University, Beijing, China
fYear :
2015
Firstpage :
1
Lastpage :
5
Abstract :
In order to accurately calculate power systems available transfer capability (ATC), this paper proposes anew model including FACTS devices for calculating transfer capability with the "N-1" static stability margin constraints. Based on the teaching- learning-based algorithm (TLBO), an improved teaching-learning algorithm (ITLA) is put forward which is able to deal with complicated nonlinear constraints in power system. The efficiency of the algorithm is demonstrated with different standard functions. With the increasing demand of electricity, making full use of Flexible Alternative Current Transmission Systems (FACTS) to transform transmission grid is a very effective way to increase the available transfer capability without changing the existing network architecture. In order to give a full play to the ability to improve line power flow, it is necessary to develop a effective solution to make the best use of several FACTS devices. A coordinated control strategy based on ITLA considering multi-FACTS devices is proposed to increase the transmission capacity of power lines. A simulation is carried out on an IEEE standard system to test its effectiveness.
Keywords :
"Algorithm design and analysis","Power system stability","Security","Decision support systems","Stability criteria","Standards"
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2015 IEEE PES Asia-Pacific
Type :
conf
DOI :
10.1109/APPEEC.2015.7380924
Filename :
7380924
Link To Document :
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