Relationship between generator affinity and voltage profile improvement

Sikiru, Tajudeen H.; Jimoh, A.A.; Hamam, Yskandar; Agee, John T.; Ceschi, Roger

doi:10.1109/asscc.2012.6523310

Cited by 4 publications

(1 citation statement)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The networks were classified as weak or strong based on their inherent structural characteristics [22]. Sikiru et al [23] discussed the association between the generator and the load and its importance for voltage maintenance. Authors emphasized various characteristic indices that were obtained from the partitioned sub-matrix of the Y bus .…”

Section: Introductionmentioning

confidence: 99%

A Novel Index for Detecting Line Stability Based on the Structural Characteristics of Power Transmission Systems

Vanishree,

Ramesh*

2020

IJITEE

View full text Add to dashboard Cite

In general, there is a large mismatch between power generation and power demand. Hence to ensure the power quality of power transmission systems has become a challenging task. One major issue in power quality is voltage collapse, which can cause system blackout if not detected in time. There are many measures to detect voltage collapse, among which identification of weak buses and weak lines plays a major role. Weak buses are identified using the Structural Characteristics Method (SCM). A novel stability index based on network structural characteristics is proposed for the identification of weak lines that can cause voltage collapse. This Electrical Distance Stability Index (EDSI) is determined on the basis of the electrical distance between various buses with that of weak buses determined by a structural characteristics method. The major significance of SCM and EDSI is the determination of weak buses and weak lines respectively without the need for load flow analysis unlike the existing methods. The proposed index is implemented on IEEE 6, 14 and 30 bus systems. The results thus obtained by the EDSI are identical and effective when compared with the results of existing line stability indices.

show abstract

Section: Introductionmentioning

confidence: 99%