Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/176400
Title: Adaptive critical eigenvalues tracing via projected continuation of invariant subspace
Authors: Pengfei Xu;Xiaoru Wang;Venkataramana Ajjarapu
Year: 2017
Publisher: IET
Abstract: An adaptive power system critical eigenvalues tracing approach based on the projected continuation of invariant subspace (CIS) is proposed in this study. The proposed method reduces problem size by applying projections to invariant subspace corresponding to critical eigenvalues to ensure efficiency. An adaptive update strategy is adopted to detect and include new critical eigenvalues, ensuring that eigenvalues of interest are always traced. Testing on New England 39- and IEEE-118 bus systems shows that the proposed approach can detect and trace new critical eigenvalues as soon as they emerge and immediately find bifurcation, thus avoiding missing instability information. It also shows that the proposed approach has an advantage in terms of computational time.
URI: http://localhost/handle/Hannan/176400
volume: 11
issue: 8
More Information: 2115,
2123
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7958870.pdf3.14 MBAdobe PDF
Title: Adaptive critical eigenvalues tracing via projected continuation of invariant subspace
Authors: Pengfei Xu;Xiaoru Wang;Venkataramana Ajjarapu
Year: 2017
Publisher: IET
Abstract: An adaptive power system critical eigenvalues tracing approach based on the projected continuation of invariant subspace (CIS) is proposed in this study. The proposed method reduces problem size by applying projections to invariant subspace corresponding to critical eigenvalues to ensure efficiency. An adaptive update strategy is adopted to detect and include new critical eigenvalues, ensuring that eigenvalues of interest are always traced. Testing on New England 39- and IEEE-118 bus systems shows that the proposed approach can detect and trace new critical eigenvalues as soon as they emerge and immediately find bifurcation, thus avoiding missing instability information. It also shows that the proposed approach has an advantage in terms of computational time.
URI: http://localhost/handle/Hannan/176400
volume: 11
issue: 8
More Information: 2115,
2123
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7958870.pdf3.14 MBAdobe PDF
Title: Adaptive critical eigenvalues tracing via projected continuation of invariant subspace
Authors: Pengfei Xu;Xiaoru Wang;Venkataramana Ajjarapu
Year: 2017
Publisher: IET
Abstract: An adaptive power system critical eigenvalues tracing approach based on the projected continuation of invariant subspace (CIS) is proposed in this study. The proposed method reduces problem size by applying projections to invariant subspace corresponding to critical eigenvalues to ensure efficiency. An adaptive update strategy is adopted to detect and include new critical eigenvalues, ensuring that eigenvalues of interest are always traced. Testing on New England 39- and IEEE-118 bus systems shows that the proposed approach can detect and trace new critical eigenvalues as soon as they emerge and immediately find bifurcation, thus avoiding missing instability information. It also shows that the proposed approach has an advantage in terms of computational time.
URI: http://localhost/handle/Hannan/176400
volume: 11
issue: 8
More Information: 2115,
2123
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7958870.pdf3.14 MBAdobe PDF