Load-frequency regulation under a bilateral LFC scheme using flexible neural networks

Engineering Intelligent Systems

Volumn 14, Issue 2, 2006, Pages 109-117

  Bevrani, H ^a   Hiyama, T ^a   Mitani, Y ^b   Tsuji, K ^c   Teshnehlab, M ^d  

^a KUMAMOTO UNIVERSITY   (Japan)

^b KYUSHU INSTITUTE OF TECHNOLOGY   (Japan)

^c OSAKA UNIVERSITY   (Japan)

^d K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Artificial neural network; Back propagation algorithm; Bilateral LFC scheme; Flexible sigmoid function; Load frequency control

Indexed keywords

ELECTRIC FREQUENCY CONTROL; ELECTRIC POWER DISTRIBUTION; FREQUENCY RESPONSE; LARGE SCALE SYSTEMS; NEURAL NETWORKS; OPTIMIZATION;

BACK PROPAGATION ALGORITHM; BILATERAL LFC SCHEME; FLEXIBLE SIGMOID FUNCTIONS; LOAD FREQUENCY CONTROL;

ELECTRIC LOAD MANAGEMENT;

EID: 33746048772     PISSN: 14728915     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (23)

1. Chritie RD, Bose A. Load frequency control issues in power system operation after deregulation. IEEE Transactions on Power Systems 1996; 11(3): 1191-1200.
2. Meliopouls APS, Cokkinides GJ, Bakirtzis AG. Load-frequency control service in a deregulated environment. Decision Support Systems 1999; 24: 243-250.
3. UCPTE Doc. UCPTE rules for the co-ordination of the accounting and the organization of the Load-frequency Con trol 1999.
4. Roffel B, deBoer WW. Analysis of power and frequency control requirements in view of increased decentralized production and market liberalization. Control Engineering Practice 2002; Article in press.
5. Kumar J, Hoe NGK, Sheble GB. AGC simulator for price-based operation Part 1: A model. IEEE Transactions on Power Systems 1997; 2(12): 527-532.
6. Delfino B, Fornari F, Massucco S. Load-frequency control and inadvertent interchange evaluation in restructured power systems. IEE proc Gener Transm Distrib 2002; 149(5): 607-614.
7. Feliachi A. Reduced load frequency controller in a deregulated electric power system environment. Proc of the Conference on Decision & Control 1997; USA: 3100-3101.
8. Bevrani H. Robust load frequency controller in a deregulated environment: A μ-synthesis approach. Proc of IEEE Int Conf on Control applications 1999; USA: 616-621.
9. Bakken BH, Grande OS. Automatic generation control in a deregulated power system. IEEE Trans on Power Systems 1998; 13(4): 1401-1406.
10. Bevrani H, Rezazadeh A, Teshnehlab M. Comparison of existing LFC approaches in deregulated environment. Proc of 5th IEE Int Conf on Power System Management and Control 2002; UK: 238-243.
11. Donde V, Pai MA, Hiskens IA. Simulation and optimization in a AGC system after deregulation. IEEE Trans on Power Systems 2001; 16(3): 481-489.
12. Bevrani H, Mitani Y, Tsuji K. On robust load-frequency regulation in a restructured power system. IEEJ Trans on Power and Energy 2004; 124(2): 190-198.
13. Yu X, Tomsovic K. Application of linear matrix inequalities for load frequency control with communication delays. IEEE Trans on Power Systems 2004; 19(3): 1508-1515.
14. Bevrani H, Mitani Y, Tsuji K. Robust decentralized load-frequency control using an iterative linear matrix inequalities. IEE Proc-Gen Transm Distrib 2004; 151(3): 347-354.
15. Feliachi A. On the control of re-structured electric power systems. Int Journal of Control Automation and Systems 2005; 3(2): 363-375.
16. Bevrani H, Hiyama T. A scenario on market based automatic generation control. Proc of IEEJ Annual Conf on Power and Energy 2005; Osaka Japan.
17. Zeynelgil HL, Demiroren A, Sengor NS. The application of ANN technique to automatic generation control for multiarea power system. Electrical Power and Energy Systems 2002; 24: 345-354.
18. Beaufays F, Abdel-Magid Y, Widrow B. Application of neural networks to load-frequency control in power systems. Neural Networks 1994; 7(1): 183-194.
19. Chaturvedi DK, Satsangi PS, Kalra PK. Load frequency control - a generalized nural network approach. Electrical Power and Energy Systems 1999; 21: 405-415.
20. Karnavas YL, Papadopoulos DP. AGC for autonomous power system using combined intelligent techniques. Electric Power Systems Research 2002; 62: 225-239.
21. Djukanovic M, Novicevic M, Sobajic DJ, Pao YP. Conceptual development of optimal load-frequency control using artificial neural networks and fuzzy set theory. Engineering Intelligent Systems for Electrical Engineering & Communication 1995; 2: 95-108.
22. Teshnehlab M, Watanabe K. Intelligent control based on flexible neural networks. Kluwer publishers: 1999.
23. Zilouchian A, Jamshidi M. Intelligent control systems using soft computing methodologies. CRC Press: 2001.