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Detecting power systems failure based on fuzzy rule in power grid

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Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
PL
Wykrywanie nieprawidłowości w systemie energetycznym bazujące na logice rozmytej
Języki publikacji
EN
Abstrakty
EN
Load balancing is an important feature that keeps the power system safe from overloading. Load details can be obtained from Circuit Breaker's Relay Meter and it is connected to computer. Power balancing and failure detection will be done using Fuzzy Rule, which is helpful for the operator to recover the power fault quickly. Because of this power sharing between the substations, in turn between feeders, the load balancing of the power system is maintained. This is applied in the real time system using tree topology to get the result more quickly than the existing Petri Net Model.
PL
Przedstawiono możliwości wykorzystania logiki rozmytej do analizy obciążę i nierównowagi mocy systemu energetycznego. Analizowany jest rozdział mocy między podstacjami oraz sposoby równoważenia rozdziału mocy żeby zapobiec przeciążeniom.
Rocznik
Strony
172--177
Opis fizyczny
Bibliogr. 28 poz., il., schem., tab., wykr.
Twórcy
autor
  • Department of Information Technology, Sathyabama University, Chennai, Tamilnadu, India
autor
  • Department of Computer Applications, St. Joseph’s College of Engineering, Chennai, Tamilnadu, India
Bibliografia
  • [1] Zhu Chuanbai, Guo Chuangxin, Cao Yijia, Hierarchical fault diagnosis model of a large-scale power system based on dispatch integrated information platform, Automation of Electric Power Systems, pp. 51–55,2009
  • [2] Guo Chuangxin, Peng Mingwei, Liu Yi, Novel approach for fault diagnosis of the power grid with Information fusion of multi-data resources, Proceedings of the CSEE, pp.1–7, 2009
  • [3] S. Sharma, S. Singh, and M. Sharma, Performance Analysis of Load Balancing Algorithms, World Academy of Science, Engineering and Technology, Vol. 38, 2008
  • [4] G. R. Andrews, D. P. Dobkin, and P. J. Downey, Distributed allocation with pools of servers, ACM, pp. 73–83, 1982
  • [5] M. A. Kashem, V. Ganapathy, G. B. Jasmon, A geometric approach for three-phase load balancing in distribution networks, pp. 293 - 298, Vol.1, IEEE, 2000
  • [6] LI Lan-fang, LIU Kai-pei, HU Yu-hang, Architecture of Multi-Agent Based Distributed Monitoring and Control System for Substations, Power System Technology;2004-22
  • [7] BI Tianshu, NI Yixin, WU Fuli, YANG Qixun, A Novel Neural Network Approach for Fault Section Estimation, CSEE, 2002
  • [8] Fang Peipei, Li Yongli, Yang Xiaojun, Transmission Power System Fault Diagnosis Based on Petri Nets and Expert System, Proceedings of the CSU-EPSA, pp. 26-30, 2005
  • [9] Sun Jing, Qin Shiyin, Song Yonghua, Fuzzy Petri Nets and its Application in the Fault Diagnosis of Electric Power Systems, Proceedings of the CSEE, pp. 74-79, 2004
  • [10] Y.M. Park, K.H. Lee, Application of Expert System to Power System Restoration in Local Control Center, International Journal of Electrical Power and Energy System, 1995
  • [11] Jaw-Shyang Wu, Chen-ching Liu, Ken-Lee Liou, A Petri Net Algorithm for Scheduling of generic restoration actions, IEEE Trans. on Power Systems, pp.69–76, 1997
  • [12] Jaw-Shyang Wu, A Petri-Net Algorithm for Multiple Contingencies of Distribution System Operation, IEEE Trans. On Power Systems, pp.1164–1171, 1998
  • [13] Andries P. Engelbrecht, Computational Intelligence, Wiley Publications, 2nd edition, Chapter 21, pp. 465-474, 2007
  • [14] http://en.wikipedia.org/wiki/Fuzzy_logic
  • [15] Sun and Netscape to jointly develop Java Foundation Class, Netscape Communications Corporation. 2011-08-08
  • [16] Swing threading and the event-dispatch thread - JavaWorld, Welcome to JavaWorld.com 2008-05-17
  • [17] http://en.wikipedia.org/wiki/NetBeans
  • [18] ^ "Profiler", Netbeans.org. Retrieved 2008-05-17
  • [19] Fayza A. Nada, Improving Mobile IP Performance Through Priority Scheduling, AUTOMATIKA , pp.365–3692011
  • [20] Nenad Težak, Ivan Bahun, Ivan Petrovi´c, Active Suppression of Low-frequency Interference Currents by Implementation of the High-performance Control System for the Grid-interfaced Converters, AUTOMATIKA, pp.199–214, 2012
  • [21] Qin Zheng,Chen-Khong Tham,Bharadwaj Veeravalli, Dynamic Load Balancing and Pricing in Grid Computing with Communication Delay, J. of Grid Computing, pp.239–253, 2008
  • [22] Liang-Jie Zhang and Bing Li, Requirements Driven Dynamic Services Composition For Web Services and Grid Solutions, Journal of Grid Computing, pp.121–140, 2004
  • [23] Jia Yu and Rajkumar Buyya, A Taxonomy of Workflow Management Systems for Grid Computing, Journal of Grid Computing, pp.171–200, 2006
  • [24] GAO Zhanjun, GAO Nuo, WANG Lei, LI Zhaofei, Power System Fault Diagnosis Based On Power Grid, IET, 2012
  • [25] WANG Lei, CHEN Qing, GAO Zhanjun, Power Systems Fault Diagnosis Based On Grid Computing, IEEE, 2011
  • [26] José L. AZCUE-PUMA1, Alfeu J. SGUAREZI FILHO, Ernesto RUPPERT, Fuzzy logic based vector control for three-phase induction motor, PRZEGLAD ELEKTROTECHNICZNY JOURNAL, 2013
  • [27] Nihat PAMUK , Yılmaz UYAROGLU, The Fault Diagnosis for Power System Using Fuzzy Petri Nets, PRZEGLĄD ELEKTROTECHNICZNY JOURNAL, 2012-7a
  • [28] Mariana DUMITRESCU, Using Stochastic Petri Nets for power system computation Dependability, PRZEGLĄD ELEKTROTECHNICZNY, Electrical Review 2007
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4b475d71-8aca-4b8d-9c1a-47dfbb5a3c50
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