Research on Islanding Detection for Grid-Connected Inverter and Protection Criterion Based on Fuzzy Clustering Analysis

2011 ◽  
Vol 383-390 ◽  
pp. 1971-1976
Author(s):  
Jie Dong ◽  
Ya Jun Rong

On the basis of introducing the causes and hazards of islanding, the paper classifies and generalizes the testing methods used currently about islanding. It is shown that applying single method to detect islanding will bring some wrong judgments. It is difficult to determine the protection thresholds by a single detection method, which will decrease protection sensitivity and result in system losses. This paper studies a method based on fuzzy clustering, which integrates variations of voltage amplitude and frequency change, mutations of current phase and voltage phase, as well as formation of voltage harmonics and so on, and determines the formation of islanding and the appropriate protection criterion.

2013 ◽  
Vol 12 (7) ◽  
pp. 1358-1365
Author(s):  
Yau-Ren Shiau ◽  
Ching-Hsing Tsai ◽  
Yung-Hsiang Hung ◽  
Jui-Huan Wu

2005 ◽  
Vol 23 (4) ◽  
pp. 1157-1163 ◽  
Author(s):  
M. Sridharan ◽  
N. Gururajan ◽  
A. M. S. Ramasamy

Abstract. The utility of fuzzy set theory in cluster analysis and pattern recognition has been evolving since the mid 1960s, in conjunction with the emergence and evolution of computer technology. The classification of objects into categories is the subject of cluster analysis. The aim of this paper is to employ Fuzzy-clustering technique to examine the interrelationship of geomagnetic coastal and other effects at Indian observatories. Data from the observatories used for the present studies are from Alibag on the West Coast, Visakhapatnam and Pondicherry on the East Coast, Hyderabad and Nagpur as central inland stations which are located far from either of the coasts; all the above stations are free from the influence of the daytime equatorial electrojet. It has been found that Alibag and Pondicherry Observatories form a separate cluster showing anomalous variations in the vertical (Z)-component. H- and D-components form different clusters. The results are compared with the graphical method. Analytical technique and the results of Fuzzy-clustering analysis are discussed here.


2014 ◽  
Vol 513-517 ◽  
pp. 1540-1544
Author(s):  
Li Hua Zhang ◽  
Wei Liu

Today's society is a society of information explosion, the popularity of the Internet and development bring a lot of convenience to people, people can easily get a lot of information on the network, however, facing so many information, people prone to the problems of "information overload" and "resources disorientation. Therefore, the recommended system came into being, the recommendation system can provide people with the most in need and most concern to avoid the time of the search and comparison. This article intends to use the very mature recommendation system in the field of electronic commerce to distance education system and promotes personalized learning, shifting the traditional "what teachers teach, what students receive" to "what the students need, what the system provides, which is consistent of constructivism study philosophy. The analysis of users interested as the basis of the recommendation system, users clustering is very important, the objective classification of fuzzy clustering analysis can recommend for users to enjoy high-quality service.


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