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International Journal of Electrical Power & Energy Systems
Article . 2012 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Optimal setting of reactive compensation devices with an improved voltage stability index for voltage stability enhancement

Authors: Chien-Feng Yang; Gordon G. Lai; Chia-Hau Lee; Ching-Tzong Su; Gary W. Chang;

Optimal setting of reactive compensation devices with an improved voltage stability index for voltage stability enhancement

Abstract

Abstract Voltage stability improvement is an important issue in power system planning and operation. Voltage stability of a system depends on the network topology and settings of reactive compensation devices. This research first proposes an improved voltage stability index ( IVSI ) for network systems, and then presents an optimization method for reactive compensation devices settings. To solve the optimization problem, this work introduces the hybrid differential evolution (HDE) to determine tap settings of on-load tap changing (OLTC) transformers, excitation settings of generators or synchronous condensers (SCs), and locations with sizes of static var compensators (SVCs). The performance of this technique is verified using the IEEE 30-bus power flow test system. The results show that the proposed method using the improved voltage stability index and the optimization method is able to effectively enhance voltage stability of a system and reduce line losses.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
107
Top 10%
Top 1%
Top 10%
gold