Power quality control of an autonomous wind-diesel power system based on hybrid intelligent controller

Neural Networks

Volumn 21, Issue 10, 2008, Pages 1439-1446

  Ko, Hee Sang ^a   Lee, Kwang Y ^b   Kang, Min Jae ^c   Kim, Ho Chan ^c  

^a Samsung Heavy Industries Co   (South Korea)

^b BAYLOR UNIVERSITY   (United States)

^c Jeju National University   (South Korea)

Author keywords

Fuzzy controller; Neural network inverse model; Wind power generation

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; ADAPTIVE SYSTEMS; ASYNCHRONOUS GENERATORS; CONTROL SYSTEMS; CONTROL THEORY; COST EFFECTIVENESS; CUSTOMER SATISFACTION; ELECTRIC NETWORK TOPOLOGY; ELECTRIC POWER DISTRIBUTION; ELECTRIC POWER GENERATION; ELECTRIC POWER SYSTEMS; ELECTRIC UTILITIES; ELECTRICITY; FUZZY CONTROL; FUZZY LOGIC; IMAGE CLASSIFICATION; NEURAL NETWORKS; POWER QUALITY; QUALITY ASSURANCE; QUALITY CONTROL; QUALITY FUNCTION DEPLOYMENT; RENEWABLE ENERGY RESOURCES; TOTAL QUALITY MANAGEMENT; WIND POWER;

CONVENTIONAL BATTERIES; COST OF ELECTRICITIES; DISTRIBUTION SYSTEMS; ELECTRICITY GENERATIONS; ELECTRICITY PRICES; ENVIRONMENTALLY FRIENDLY; FUZZY CONTROLLER; FUZZY LOGIC CONTROLLERS; INDUCTION GENERATORS; INTELLIGENT CONTROLLERS; INVERSE MODELS; POWER INDUSTRIES; POWER OUTPUTS; POWER QUALITY CONTROLS; POWER SYSTEMS; PUBLIC CONCERNS; SALES OPPORTUNITIES; STATIC VAR COMPENSATORS; WIND GENERATIONS; WIND GENERATORS; WIND POWER GENERATION; WIND POWER GENERATION PLANTS; WIND POWER GENERATIONS; WIND SPEEDS;

ELECTRIC GENERATORS;

ARTICLE; COST; DIESEL ENGINE; ELECTRICITY; ENERGY CONSUMPTION; GENERATOR; INTELLIGENCE; NERVE CELL NETWORK; POWER ANALYSIS; POWER SUPPLY; PRIORITY JOURNAL; QUALITY CONTROL; WIND POWER;

COMMERCE; COMPUTER SIMULATION; ELECTRICITY; ENERGY-GENERATING RESOURCES; FUZZY LOGIC; NEURAL NETWORKS (COMPUTER); POWER PLANTS; QUALITY CONTROL; ROBOTICS; WIND;

EID: 56949098666     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2008.10.004     Document Type: Article

References (21)

1. Chedid R.B., Karaki S.H., and Chadi E.C. Adaptive fuzzy control for wind-diesel weak power systems. IEEE Transactions on Energy Conversion 15 1 (2000) 71-78
2. Feris L.L. Wind energy conversion system (1990), Prentice Hall, New Jersey
3. Hagan M.T., and Menhaj M.B. Training feedforward networks with the Marquardt algorithm. IEEE Transactions on Neural Networks 5 6 (1994) 989-993
4. Haley, P., Soloway, D., & Gold, B. (1999). Real-time adaptive control using neural generalized control. In Proc. American control conference (pp. 4278-4282)
5. Haykin S. Neural networks: A comprehensive foundation (1998), Prentice Hall, New Jersey
6. Harnold, C. -L. -M., Lee, K. Y., Lee, J. -H., & Park, Y. -M. (1998). Free model based adaptive inverse control for dynamic systems. In Proc. the 37th IEEE conference on decision and control (p. 507)
7. Hunter R., and Elliot G. Wind-diesel systems (1994), Cambridge University, New York
8. International Electrotechnical Commission, (1975). Publication 34-10, Rotating electrical machines, Part 10: Conventions for description of synchronous machines. Geneva
9. Karaki S.H., Chedid R.B., and Ramadan R. Probabilistic production costing of diesel-wind energy conversion systems. IEEE Transactions on Energy Conversion 15 3 (2000) 284-289
10. Kawato M., Furukawa K., and Suzuki R. A hierarchical neural-network model for control and learning of voluntary movement. Biological Cybernetics 57 (1987) 169-185
11. Krause P.C., Wasynczuk O., and Sudhoff S.D. Analysis of electrical machinery (1986), McGraw-Hill, New York
12. Madsen, P. P. (1995) Neural network for optimization of existing control systems. In Proc. IEEE international joint conference on neural networks (pp. 1496-1501)
13. Nakanishi J., and Schaal S. Feedback error learning and nonlinear adaptive control. Neural Networks 17 (2004) 1453-1465
14. Ng G.W. Application of Neural Networks to adaptive control of nonlinear systems (1997), John Wiley and Sons Inc
15. Pandiaraj K., Taylor P., and Jenkins N. Distributed load control autonomous renewable energy systems. IEEE Transactions on Energy Conversion 16 1 (2001) 14-19
16. Park Y.M., Choi M.S., and Lee K.Y. An optimal tracking neuro-controller for nonlinear dynamic systems. IEEE Transactions on Neural Networks 7 5 (1996) 1099-1110
17. Park Y.M., Moon U.C., and Lee K.Y. A self-organizing fuzzy logic controller for dynamic systems using fuzzy auto-regressive moving average (FARMA) model. IEEE Transactions on Fuzzy Systems 3 1 (1995) 75-82
18. Park Y.M., Moon U.C., and Lee K.Y. A self-organizing power system stabilizer using fuzzy auto-regressive moving average (FARMA) model. IEEE Transactions on Energy Conversion 11 2 (1996) 442-448
19. Passino K.M. Fuzzy control: Theory and applications (1997), Addison Wesley Publishing
20. Tripathy S.C., Kalantar M., and Balasubramanian R. Dynamics and stability of wind and diesel turbine generator with superconducting magnetic energy storage unit on an isolated power system. IEEE Transactions on Energy Conversion 6 4 (1991) 579-585
21. Yen J., and Langari R. Fuzzy logic: Intelligence, control, and information (1999), Prentice Hall