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JCR Impact Factor: 0.595
JCR 5-Year IF: 0.661
Issues per year: 4
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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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Wind Speed Prediction with Wavelet Time Series Based on Lorenz Disturbance, ZHANG, Y., WANG, P., CHENG, P., LEI, S.
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LATEST NEWS

2017-Jun-14
Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

2017-Apr-04
We have the confirmation Advances in Electrical and Computer Engineering will be included in the EBSCO database.

2017-Feb-16
With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

2017-Jan-30
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2016-Dec-17
IoT is a new emerging technology domain which will be used to connect all objects through the Internet for remote sensing and control. IoT uses a combination of WSN (Wireless Sensor Network), M2M (Machine to Machine), robotics, wireless networking, Internet technologies, and Smart Devices. We dedicate a special section of Issue 2/2017 to IoT. Prospective authors are asked to make the submissions for this section no later than the 31st of March 2017, placing "IoT - " before the paper title in OpenConf.

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  3/2011 - 12

An Effective Distributed Model for Power System Transient Stability Analysis

MUTHU, B. M. See more information about MUTHU, B. M. on SCOPUS See more information about MUTHU, B. M. on IEEExplore See more information about MUTHU, B. M. on Web of Science, VEILUMUTHU, R. See more information about  VEILUMUTHU, R. on SCOPUS See more information about  VEILUMUTHU, R. on SCOPUS See more information about VEILUMUTHU, R. on Web of Science, PONNUSAMY, L. See more information about PONNUSAMY, L. on SCOPUS See more information about PONNUSAMY, L. on SCOPUS See more information about PONNUSAMY, L. on Web of Science
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,471 KB) | Citation | Downloads: 1,092 | Views: 2,855

Author keywords
JAX-RPC, Power Systems Stability, SOAP, WSDL, XML

References keywords
power(24), systems(10), system(10), computing(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2011-08-31
Volume 11, Issue 3, Year 2011, On page(s): 71 - 76
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.03012
Web of Science Accession Number: 000296186700012
SCOPUS ID: 80055067179

Abstract
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Full text preview
The modern power systems consist of many interconnected synchronous generators having different inertia constants, connected with large transmission network and ever increasing demand for power exchange. The size of the power system grows exponentially due to increase in power demand. The data required for various power system applications have been stored in different formats in a heterogeneous environment. The power system applications themselves have been developed and deployed in different platforms and language paradigms. Interoperability between power system applications becomes a major issue because of the heterogeneous nature. The main aim of the paper is to develop a generalized distributed model for carrying out power system stability analysis. The more flexible and loosely coupled JAX-RPC model has been developed for representing transient stability analysis in large interconnected power systems. The proposed model includes Pre-Fault, During-Fault, Post-Fault and Swing Curve services which are accessible to the remote power system clients when the system is subjected to large disturbances. A generalized XML based model for data representation has also been proposed for exchanging data in order to enhance the interoperability between legacy power system applications. The performance measure, Round Trip Time (RTT) is estimated for different power systems using the proposed JAX-RPC model and compared with the results obtained using traditional client-server and Java RMI models.


References | Cited By  «-- Click to see who has cited this paper

[1] Monika ten Bruggencate, Suresh Chalasani, "Parallel Implementations of the Power System Transient Stability Problem on Clusters of Workstations," Int. Conf. High Performance Networking and Computing, Article no 34, 1995.
[CrossRef]


[2] V. C. Ramesh, "On Distributed Computing for On-Line Power System Applications," Int. J. Electrical Power & Energy Systems, vol. 18, no. 8, pp. 527-533, 1996.
[CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 13]


[3] Hong Chen, Claudio A. Canizares, Aajit Singh, "Web Based Computing for Power System Applications," North American Power Symposium, California, 1999. [Local Repository]

[4] Kwok-Hong Mak and Barry Holland, "Migrating Electrical Power Network SCADA Systems to TCP / IP and Ethernet Networking", Power Engineering Journal, vol. 16, no. 6, pp. 305-311, 2002.
[CrossRef] [Web of Science Times Cited 9]


[5] S. Chen, F. Y. Lu, "Web-Based Simulations of Power Systems," IEEE Trans. Computer Application in Power, vol. 15, no. 1, pp. 35-40, 2002.
[CrossRef] [Web of Science Times Cited 22] [SCOPUS Times Cited 32]


[6] Keinosuke Matsumoto, Tomoaki Maruo, Naoki Mori, Masashi Kitayama and Yoshio Izui, "A Communication Network Model of Electric Power Trading Systems using Web Services," IEEE Power Tech Conf. Proceedings, vol. 3, pp. 1-6, 2003.
[CrossRef] [SCOPUS Times Cited 5]


[7] Quirino Morante, Alfredo Vaccaro, Domenico Villacci and Eugenio Zimeo, "A Web based Computational Architecture for Power Systems Analysis," Bulk Power System Dynamics and Control - VI, August 22-27, 2004. [Local Repository]

[8] S. Chen, "Open Design of Networked Power Quality Monitoring Systems," IEEE Trans. Instrumentation and Measurement, vol. 53, no. 2, pp. 597-601, 2004.
[CrossRef] [Web of Science Times Cited 35] [SCOPUS Times Cited 42]


[9] K. Nithiyanandan and V. Ramachandran, "RMI Based Multi-Area Power System Load Flow Monitoring," Iranian J. Electrical and Computer Engineering, vol. 3, no. 1, pp. 28-30, 2004.

[10] Kannan Nithiyanandan and Velimuthu Ramachandran, "RMI Based Distributed Model for Multi-Area Power System On-Line Economic Load Dispatch," J. Electrical Engineering, vol. 56, no. 1-2, pp. 41-44, 2005.

[11] Afaneen A. Abood, Ahmed N. Abdalla and Shant K. Avakian, "The Application of Multi-Agent Technology on Transient Stability Assessment of Iraqi Super Grid Network", American J. Applied Sciences, vol. 5, no. 11, pp 1494-1498, 2008.
[CrossRef]


[12] M. Shekhar, S. S. K. Kelapure, Sastry Akellay and J. Gopala Raoz, "Application of Web Services in SCADA Systems," Int. J. Emerging Electric Power Systems, vol. 6, no. 1, pp 1-15, 2006.

[13] Jun Zhai, Jianfeng Li, Qinglian Wang, "Using Ontology and XML for Semantic Integration of Electricity Information Systems," 3rd Int. Conf. Electric Utility Deregulation and Restructuring and Power Technologies, pp. 2197-2201, 2008.
[CrossRef] [SCOPUS Times Cited 2]


[14] F. Milano, L. Vanfretti, "Open Model for Exchanging Power System Data", presented in IEEE Power & Energy Society General Meeting, 2009
[CrossRef] [SCOPUS Times Cited 13]


[15] P. Kundur, J. Paserba, V. Ajjarpu, G. Anderson, A. Bose, C. Canizares, N. Hatziargyriou, D. Hill, A. Tankovie, C. Taylor, T.V. Cutsem and V. Vittal, "Definition and Classification of Power System Stability," IEEE Trans. Power System, vol. 19, no. 3, pp. 1387-1401, 2004.
[CrossRef] [Web of Science Times Cited 852] [SCOPUS Times Cited 1346]


References Weight

Web of Science® Citations for all references: 927 TCR
SCOPUS® Citations for all references: 1,453 TCR

Web of Science® Average Citations per reference: 62 ACR
SCOPUS® Average Citations per reference: 97 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2017-10-14 16:52 in 68 seconds.




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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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