Power system load modeling by learning based on system measurements

IEEE Transactions on Power Delivery

Volumn 18, Issue 2, 2003, Pages 364-371

  Wen, J Y ^a   Jiang, L ^b   Wu, Q H ^b   Cheng, S J ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b UNIVERSITY OF LIVERPOOL   (United Kingdom)

Author keywords

Genetic algorithm; Load modeling; Network reduction; Population diversity; Power system

Indexed keywords

COMPUTER SIMULATION; ELECTRIC LOADS; ELECTRIC POWER DISTRIBUTION; GENETIC ALGORITHMS; LEARNING SYSTEMS;

NETWORK REDUCTION;

ELECTRIC POWER SYSTEMS;

EID: 0242418157     PISSN: 08858977     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRD.2003.809730     Document Type: Article

References (17)

1. I. T. F. on Load Representation for Dynamic Performance, "Load representation for dynamic performance analysis," IEEE Trans. Power Syst.,vol. 8, pp. 472-482, May 1993.
2. I. T. F. on Load Representation for Dynamic Performance, "Bibliography on load models for power flow and dynamic simulation," IEEE Trans. Power Syst., vol. 10, pp. 523-538, Feb. 1995.
3. J. T. Ma and Q. H. Wu, "Generator parameter identification using evolutionary programming," Int. J. Electr. Power Energy Syst., vol. 17, no. 6, pp. 417-423, 1995.
4. D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Reading, MA: Addison-Wesley, 1989.
5. A. V. Sebald and L. J. Fogel, "The future of evolutionary programming," in Proc. Conf. 24th Asilomar Conf. Signals, Syst., Comput., Pacific Grove, CA:, Nov. 1990, vol. 2.
6. D. Quagliarella, J. Periaux, C. Poloni, and G. Winter, Genetic Algorithms and Evolution Strategy in Engineering and Computer Science: Recent Advances and Industrial Applications. New York: Wiley, 1997.
7. Q. H. Wu and J. T. Ma, "Genetic search for optimal reactive power dispatch of power systems," in Proc. 1994 Int. Conf. Control, vol. 1, Coventry, U.K., Apr. 1994, pp. 717-722.
8. _, "Power system optimal reactive power dispatch using evolutionary programming," IEEE Trans. Power Syst., vol. 10, pp. 1243-1249, Aug. 1995.
9. D. Linkens and H. Nyongesa, "Genetic algorithms for fuzzy control," Proc. Inst. Elect. Eng. Part D: Control Theory and Applicat., vol. 142, no. 3, pp. 161-185, 1995.
10. X. Yin and N. Germang, "Investigations on solving the load flow problem by genetic algorithms," Electrical Power Syst. Res., vol. 22, no. 3, pp. 151-163, 1991.
11. P. Ju, E. Handschin, and D. Karlsson, "Nonlinear dynamic load modeling: Model and parameter estimation," IEEE Trans. Power Syst., vol. 11, pp. 1689-1697, Nov. 1996.
12. I. T. F. on Load Representation for Dynamic Performance, "Standard load models for power flow and dynamic simulation," IEEE Trans. Power Syst., vol. 10, pp. 1302-1313, Aug. 1995.
13. A. M. Hwatson, Electrical Circuits and Systems. London, U.K.: Oxford Univ. Press, 1996.
14. A. Chang and M. M. Adibi, "Power system dynamic equivalents," IEEE Trans. Power App. Syst., vol. PAS-89, pp. 1737-1744, Sept./Oct. 1970.
15. L. Wang, M. Klein, S. Yirga, and P. Kundur, "Dynamic reduction of large power systems for stability studies," IEEE Trans. Power Syst., vol. 12, pp. 889-895, May 1997.
16. Y. J. Cao and Q. H. Wu, "Cellular automata based genetic algorithm and its application in mechanical design optimization," in Proc. 1998 Int. Conf. Control, vol. 2, Swansea, U.K., Sept. 1998, pp. 1593-1598.
17. Y. M. Lee, K. Y. Park, and J. L. Ortiz, "A united approach to optimal real and reactive dispatch," IEEE Trans. Power Apparat. Syst., vol. PAS-104, no. 5, pp. 1147-1153, May 1985.