Evaluation of voltage stability applying n-1 criterion, albanian power system case study

Qemali, Marjela; Bualoti, Rajmonda; Çelo, Marialis

doi:10.1049/cp.2016.1034

Cited by 3 publications

(2 citation statements)

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“…For the IEEE 39-bus system, the LQPN values of three lines are identifed to be above the cutof value, i.e., 0.1; these lines are set to be the most critical lines (weak lines) and are eliminated from the system. Te eliminated lines are e (3,4), e (8,9), and e (26,29), which defne the partition boundaries. However, these partition boundaries are unable to provide two or more partitions.…”

Section: Start Make a Order Table: Lqpn Values In Ascending Ordermentioning

confidence: 99%

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Agglomerative Hierarchical Clustering Methodology to Restore Power System considering Reactive Power Balance and Stability Factor Analysis

Khadka,

Wagle,

Dhakal

et al. 2024

International Transactions on Electrical Energy Systems

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Despite there are significant advancements in modern power systems, blackouts remain a potential risk, necessitating efficient restoration strategies. This paper introduces an innovative concept for power system restoration, focusing on balancing active and reactive power while ensuring voltage stability. For instance, this paper employs an agglomerative clustering technique, which partitions the power system into segments with balanced reactive power, facilitating swift restoration postblackout. Central to this methodology is the use of the line stability factor, which assesses the voltage stability of individual lines, identifying the system’s stronger and weaker sections based on voltage stability levels. This paper demonstrates the effectiveness of the proposed methodology through case study analysis, comparing voltage stability levels across agglomerative clusters and their geographical locations. The power system is divided into two stable partitions, considering the number of black-start generators, available reactive power, and voltage stability levels. This partitioning reveals that the clusters formed by the agglomerative method are inherently stable, suggesting enhanced system stability, dependability, and availability during the restoration phase following a blackout. In addition, this paper discusses the potential causes of blackouts, offering insights into their prevention, and finishes with a novel clustering methodology for power systems, considering reactive power and voltage stability. This method facilitates the parallel restoration of the system’s independent partitions, significantly reducing restoration time; it addresses critical challenges and outcomes, underscoring the methodology’s potential to revolutionize blackout recovery processes in modern power systems.

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Section: Start Make a Order Table: Lqpn Values In Ascending Ordermentioning

confidence: 99%

“…Te lines that show the large fuctuation of active and reactive power fow when subjected to sudden disturbance are critical. Tese lines are identifed using N − 1 contingency analysis in [29]. Power fow between-ness is used to calculate critical lines in [30].…”

Section: Introductionmentioning

confidence: 99%