Vulnerability Assessment and control of large scale interconnected power systems using neural networks and neuro-fuzzy techniques

2008 Australasian Universities Power Engineering Conference, AUPEC 2008

Volumn , Issue , 2008, Pages

  Haidar, Ahmed M A ^a   Mohamed, Azah ^a   Al Dabbagh, Majid ^a   Hussain, Aini ^a  

^a UNIVERSITI KEBANGSAAN MALAYSIA   (Malaysia)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL TECHNIQUE; ENERGY MARKETS; FEATURE EXTRACTION METHODS; GENERALIZED REGRESSION NEURAL NETWORKS; INTERCONNECTED POWER SYSTEMS; LOAD-SHEDDING; NEURO-FUZZY TECHNIQUES; POWER SYSTEMS; PREVENTIVE CONTROL; VULNERABILITY ASSESSMENTS;

ELECTRIC POWER SYSTEM INTERCONNECTION; ELECTRIC POWER TRANSMISSION NETWORKS; FEATURE EXTRACTION; FUZZY NEURAL NETWORKS; POWER TRANSMISSION;

SECURITY OF DATA;

EID: 67649659808     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. M. Kim, M. A. El-Sharkawi and R. J. Marks, "Vulnerability Indices for Power System," Proceedings of the IEEE, 13th International Conference on Intelligent Systems Application to Power Systems,pp.335 - 341,November 2005.
2. H. Song & M. Kezunovic, "Static Security Analysis based on Vulnerability index (VI) and Network Contribution Factor (NCF) Method," IEEE/PES Transaction on Transmission & Distribution Conference & Exposition Asia-PacificDalian, China, pp.1 - 7 August 2005.
3. M. Anjia, Y. Jiaxi and G. Zhizhong, "Electric Power Grid Structural Vulnerability Assessment," Proceedings of the IEEE, Power Engineering Society General Meeting,pp.1 - 6 June 2006.
4. C. Franco et al., "Operation and Management of the Electric System for Industrial Plants: An Expert System Prototype for Load-Shedding Operator Assistance," IEEE Transaction on Industry Application,vol. 37, pp. 701-708, 2001.
5. P. Dash, A. Pradhan, and G. Pandaa, "Application of Minimal Radial Basis Function Neural Network to Distance Protection," IEEE Transactions on Power Delivery,vol.16, pp.68-74, 2001.
6. M. Joorabian, A. Taleghani and R. Aggarwal, "Accurate Fault Locator for EHV Transmission Lines Based on Radial Basis Function Neural Networks," Journal of Electric Power Systems Researchvol. 71, pp 195-202, 2004.
7. P. Dash, S. Mishra, and G. Panda, "A Radial Basis Function Neural Network Controller for UPFC," IEEE Transactions on Power Systems,vol.15, pp.1293-1299, 2000.
8. D. Manana, M. Toader and P. Anatoli, "Fuzzy Logic in Power System Performability," Proceeding of the Second IEEE International Conference on Intelligent System, pp.326-330, June 2004.
9. A. Sallam and A. Khafaga, "Fuzzy Expert System Using Load Shedding for Voltage Instability Control," Proceedings of the IEEE Large Engineering Systems Conference on Power Engineering, pp.125-132, 2002.
10. S. Al-Osaimi, A. Abdennour and A. Abdullaziz, "Hardware Implementation of A Fuzzy Logic Stabilizer on A Laboratory Scale Power System," Journal of Electric Power Systems Research, vol. 74, pp 9-15, 2005.
11. B, Kim, B. Junki and L. Byung, "Modeling of silicon oxynitride etch microtrenching using genetic algorithm and neural Network," Journal of Microelectronic Engineering, vol. 83, pp.513-519, 2006.
12. M. Negnevitsky, Artificial Intelligence- A Guide to Intelligent System, Addison Wesley First Edition-2002, pp. 87-125.