scholarly journals A Probabilistic Assessment Method for Voltage Stability Considering Large Scale Correlated Stochastic Variables

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 5407-5415 ◽  
Author(s):  
Jing Zhang ◽  
Luqin Fan ◽  
Ying Zhang ◽  
Gang Yao ◽  
Peijia Yu ◽  
...  
Keyword(s):  
Large Scale ◽  
Voltage Stability ◽  
Assessment Method ◽  
Probabilistic Assessment

scholarly journals Identification of Efficient Sampling Techniques for Probabilistic Voltage Stability Analysis of Renewable-Rich Power Systems

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2328
Author(s):  
Mohammed Alzubaidi ◽  
Kazi N. Hasan ◽  
Lasantha Meegahapola ◽  
Mir Toufikur Rahman
Keyword(s):  
Monte Carlo ◽  
Stability Analysis ◽  
Power Systems ◽  
Large Scale ◽  
Voltage Stability ◽  
Sampling Technique ◽  
Coefficient Of Determination ◽  
Sampling Techniques ◽  
Quasi Monte Carlo ◽  
Efficient Sampling

This paper presents a comparative analysis of six sampling techniques to identify an efficient and accurate sampling technique to be applied to probabilistic voltage stability assessment in large-scale power systems. In this study, six different sampling techniques are investigated and compared to each other in terms of their accuracy and efficiency, including Monte Carlo (MC), three versions of Quasi-Monte Carlo (QMC), i.e., Sobol, Halton, and Latin Hypercube, Markov Chain MC (MCMC), and importance sampling (IS) technique, to evaluate their suitability for application with probabilistic voltage stability analysis in large-scale uncertain power systems. The coefficient of determination (R2) and root mean square error (RMSE) are calculated to measure the accuracy and the efficiency of the sampling techniques compared to each other. All the six sampling techniques provide more than 99% accuracy by producing a large number of wind speed random samples (8760 samples). In terms of efficiency, on the other hand, the three versions of QMC are the most efficient sampling techniques, providing more than 96% accuracy with only a small number of generated samples (150 samples) compared to other techniques.

Research on probabilistic assessment method based on the corroded pipeline assessment criteria

2012 ◽  
Vol 95 ◽  
pp. 1-6 ◽  
Author(s):  
Guangli Zhang ◽  
Jinheng Luo ◽  
Xinwei Zhao ◽  
Hua Zhang ◽  
Liang Zhang ◽  
...  
Keyword(s):  
Assessment Method ◽  
Assessment Criteria ◽  
Probabilistic Assessment

scholarly journals DYNAMIC STATE OF ECOSYSTEM CARRYING CAPACITY UNDER ISLAND URBANIZATION: A CASE STUDY OF PINGTAN ISLAND IN THE SOUTHEASTERN COAST OF CHINA

2020 ◽  
Vol 28 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Sheng Gao ◽  
Huihui Sun ◽  
Guangxi Cao ◽  
Lin Zhao ◽  
Runjie Wang ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Carrying Capacity ◽  
Large Scale ◽  
Assessment Method ◽  
Dynamic State ◽  
Ecological Environment ◽  
The Sustainable Development ◽  
Rational Development ◽  
Pingtan Island

The assessment of ecological environment during the large-scale development of islands is a major topic in the study of current coastal islands. Choosing the appropriate assessment method to evaluate the suitability of carrying capacity of islands and making relevant suggestions are significant to the sustainable development of islands. Ecological footprint method is used to analyze the ecological carrying capacity of Pingtan Island (PI) from 2005 to 2016 for promoting the coordinated rational development and construction and ecological environment of the island. Although PI is in rapid urban development and construction, the island maintains secure and stable ecological conditions. PI is used as a research case to analyze the sustainable development of the ecological environment through the carrying capacity of the island ecosystem.

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