scholarly journals A Reliability Test System For Educational Purposes - Probabilistic Transient Stability Studies

2001 ◽  
Vol 24 (3) ◽  
pp. 89-100
Author(s):  
S.M. Al-Dhalaan
Keyword(s):  
Transient Stability ◽  
Test System ◽  
Reliability Test ◽  
Stability Studies

A Novel Integrated Reliability Test System for BEOL TDDB Study

2012 ◽  
Author(s):  
Jifeng Chen ◽  
Peilin Song ◽  
Thomas M. Shaw ◽  
Franco Stellari ◽  
Lynne Gignac ◽  
...  
Keyword(s):  
Preliminary Analysis ◽  
Dielectric Breakdown ◽  
Test System ◽  
Accurate Information ◽  
Reliability Test ◽  
Electrical Measurements ◽  
Time Dependent Dielectric Breakdown ◽  
Microscopy Images ◽  
Insight Into

Abstract In this paper, we propose a new methodology and test system to enable the early detection and precise localization of Time-Dependent-Dielectric-Breakdown (TDDB) occurrence in Back-End-of-Line (BEOL) interconnection. The methodology is implemented as a novel Integrated Reliability Test System (IRTS). In particular, through our methodology and test system, we can easily synchronize electrical measurements and emission microscopy images to gather more accurate information and thereby gain insight into the nature of the defects and their relationship to chip manufacturing steps and materials, so that we can ultimately better engineer these steps for higher reliable systems. The details of our IRTS will be presented along with a case study and preliminary analysis results.

scholarly journals A New Indicator of Transient Stability for Controlled Islanding of Power Systems: Critical Islanding Time

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 2975 ◽  
Author(s):  
Zhenzhi Lin ◽  
Yuxuan Zhao ◽  
Shengyuan Liu ◽  
Fushuan Wen ◽  
Yi Ding ◽  
...  
Keyword(s):  
New York ◽  
Power Systems ◽  
New England ◽  
Transient Stability ◽  
Time Frame ◽  
Test System ◽  
Crucial Importance ◽  
Interconnected System ◽  
Controlled Islanding ◽  
Simulation Results

Transient stability after islanding is of crucial importance because a controlled islanding strategy is not feasible if transient stability cannot be maintained in the islands created. A new indicator of transient stability for controlled islanding strategies, defined as the critical islanding time (CIT), is presented for slow coherency-based controlled islanding strategies to determine whether all the islands created are transiently stable. Then, the stable islanding interval (SII) is also defined to determine the appropriate time frame for stable islanding. Simulations were conducted on the New England test system–New York interconnected system to demonstrate the characteristics of the critical islanding time and stable islanding interval. Simulation results showed that the answer for when to island could be easily reflected by the proposed CIT and SII indicators. These two indicators are beneficial to power dispatchers to keep the power systems transiently stable and prevent widespread blackouts.

scholarly journals Modelagem de cargas variantes no tempo na avaliação de confiabilidade composta via simulação Monte Carlo não-seqüencial

2004 ◽  
Vol 15 (1) ◽  
pp. 93-100 ◽  
Author(s):  
Luiz A. F. Manso ◽  
Armando M. Leite da Silva
Keyword(s):  
Monte Carlo ◽  
Test System ◽  
Reliability Test ◽  
Load Frequency ◽  
Modelo De Markov

Este artigo apresenta uma nova metodologia para avaliar a confiabilidade de sistemas compostos de geração e transmissão considerando cargas variantes no tempo. Baseado na simulação Monte Carlo não-seqüencial, o método proposto utiliza um modelo de Markov capaz de representar diferentes padrões cronológicos de carga para cada área ou barra do sistema. Um novo processo de estimação é proposto para avaliar o índice de freqüência de corte de carga (LOLF - loss of load frequency), sem a necessidade de presumir comportamento coerente para o sistema. Exemplos utilizando os sistemas MRTS (Modified IEEE Reliability Test System) e SSB (Sul-Sudeste Brasileiro) são apresentados e discutidos.

scholarly journals Stability of Power Grids: State-of-the-art and Future Trends

2019 ◽  
Vol 217 ◽  
pp. 01017
Author(s):  
Nikita Tomin ◽  
Daniil Panasetsky ◽  
Alexey Iskakov
Keyword(s):  
Steady State ◽  
Lyapunov Function ◽  
Power Systems ◽  
Transient Stability ◽  
State Of The Art ◽  
Test System ◽  
Power Grids ◽  
Small Signal ◽  
Small Signal Stability ◽  
Signal Stability

The state of the art of transient stability and steady-state (small signal) stability in power grids are reviewed. Transient stability concepts are illustrated with simple examples; in particular, we consider two machine learning-based methods for computing region of attraction: ROA produced by Neural Network Lyapunov Function; estimation of the ROA of IEEE 39-bus system using Gaussian process and Converse Lyapunov function. We discuss steady state stability in power systems, and using Prony’s modal analysis for evaluating small signal stability for the 7 Bus Test system and real French power system.

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