Share This Article:

Study on the Synergetic Mechanism for the Dynamic Evaluation of Electricity Market Operational Efficiency

Abstract Full-Text HTML Download Download as PDF (Size:196KB) PP. 361-365
DOI: 10.4236/epe.2011.33046    4,526 Downloads   7,024 Views  

ABSTRACT

In Synergetics, when a complex system evolves from one sate to another, the order parameter plays a dominant role. We can analyze the complex system state by studying the dynamic of order parameter. We developed a synergetic model of electricity market operation system, and studied the dynamic process of the system with empirical example, which revealed the internal mechanism of the system evolution. In order to verify the accuracy of the synergetic model, fourth-order Runge-Kutta algorithm and grey relevance method were used. Finally, we found that the reserve rate of generation was the order parameter of the system. Then we can use the principle of Synergetics to evaluate the efficiency of electricity market operation.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

C. Li, L. Yan and H. Zhao, "Study on the Synergetic Mechanism for the Dynamic Evaluation of Electricity Market Operational Efficiency," Energy and Power Engineering, Vol. 3 No. 3, 2011, pp. 361-365. doi: 10.4236/epe.2011.33046.

References

[1] Z. H. Song, “A Study on Integrated Mechanism of Metallurgy Enterprise Technology Innovation Based on Synergetic Theory,” Tianjin University, Tianjin, 2006.
[2] T. Wu, “Theory of Cooperative Methods—Self-Organization and Its Application,” Inner Mongolia Social Science, Vol. 11, No. 6, 2000, pp. 19-26.
[3] H. Hermann, “Advanced Synergetics,” Beijing Science Press, Beijing, 1989.
[4] H. Hermann, “Information and Self-organization,” Sichuan Education Press, Chengdu, 1988.
[5] Q. Wang, F. S. Wen and M. Liu, “Development of Evaluation Indices System for Power Market,” Electric Power Technology Economics, Vol. 20, No. 5, 2008, pp. 21-26.
[6] H. F. Li, “Research of the Evaluation Index System and the Evaluation Model about Electric power Market in China,” North China Electric Power University, Beijing, 2008.
[7] D. N. Liu, R. Q. Li and X. Q. Chen, “Regulatory Indicators and Market Assessment System of Electricity Market,” Automation of Electric Power Systems, Vol. 28, No. 9, 2004, pp. 16-21.
[8] L. Jin, “Research on the Construction System Evolutionary Development Based on Self-organization Theory,” Harbin Institute of Technology, Harbin, 2007.
[9] P. Y. Zhang and C. J. Li, “Study on Operational Efficiency of Electricity Market Based on Synergetic Theory,” The International Conference on Electrical and Control Engineering, Wuhan, 25-27 June 2010, pp. 281-284. doi:10.1109/iCECE.2010.75
[10] J. B. Liu and B. Z. Li, “Study on the Order Parameters of the Enterprise Evolution System,” China Science and Technology Forum, Vol. 7, No. 4, 2005, pp. 85-87.
[11] J. Z. Wang, “Technology Self-organization Evolution Mechanism and the Order Parameter,” Dialectics of Nature, Vol. 23, No. 4, 2007, pp. 47-49.
[12] C. Cheng and C. J. Li, “Application of Grey Incidence Analysis in the Regional Electricity Market Efficiency Evaluation,” Journal of North China Electric Power University, Vol. 6, 2010, pp. 10-13.
[13] S. Y. Wei and J. Y. Wu, “Short-Term Bus Load Forecasting Based on Grey Model and Kalman Smoother,” Transactions of China Electrotechnical Society, Vol. 25, No. 2, 2010, pp. 158-162.

  
comments powered by Disqus

Copyright © 2019 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.