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Abstrakty
Electric market dynamics is important for market administrators to maintain market reliability, forecast problems and take remedy actions. Equilibrium analysis models have been built in the past to find market equilibrium. However, to achieve the goal of deregulation, not only should market equilibrium be identified, but also achievability of equilibrium and market transition process to equilibrium should be known. These properties cannot be got without studying interactions between market participants, which were not included in equilibrium analysis. Interactions between Generation Companies (GENCOs) are major source of market dynamics. They are particularly important for electric market and GENCOs decision making because there are few participants in electric market and current electric markets are oligopolistic. This paper models GENCOs decision making and interactions between different GENCOs from a control point of view. GENCO decisions that are evolving with time are modeled as control processes and electric markets are modeled as control systems. Corresponding market dynamics and properties are studied. An oligopolistic market is used to illustrate the ideas and numerical examples are provided for all cases. Results showed new models can provide conclusions that are difficult or impossible to get by pure equilibrium analysis.
Czasopismo
Rocznik
Tom
Strony
113--123
Opis fizyczny
Bibliogr. 15 poz.,
Twórcy
autor
- Department of Electrical Engineering, Iowa State University, Ames, IA 50011, United States
autor
- Department of Electrical Engineering, Iowa State University, Ames, IA 50011, United States
Bibliografia
- [1] SHEBLE G ., Priced based operation in an auction market structure, IEEE Transactions on PowerSystems, Vol. 114, No. 4, Nov. I996, 1770-1777.
- [2] EZEKIEL M., The cobweb theorem, Quarterly Journal of Economics, Vol. 52, lss. 2. I 938, 255-280.
- [3] CARS H., HOMMES X., Dynamics of the cobweb model with adaptive expectations and nonlinear supply and demand, J. Economic Behavior and Organization, Vol. 24, No. 3, 1994, 315-335.
- [4] MORISHIMA M., Dynamics economic theory, Cambridge, Cambridge University Press, 1996.
- [5] RUTH M ., HANNON B., Modelling Dynamic Economic Systems, Springer-Verlag, New York, 1997.
- [6] ALVARAOO F., The stability of power system markets, IEEE Transactions on Power Systems, Vol. 14, No. 2, May 1999,505-51 I.
- [7] ALVARAOO F., The Dynamics of power system markets, Technical Report PSERC-97-01, Power Systems Engineering Research Consortium (PS ER C), The University of Wisconsin, March 1997.
- [8] LANE D. W., RICHTER C. W. Jr., SHEBLE G. B., Modeling Dynamic Electricity Markets with lntelligent Age/11 Based Economics, presented on 31st Annual North American Power Symposium (NAPS), October 1999.
- [9] WOOD A. J., WOLLENBERG B. F., Power Generation, Operation, and Control, John Willey&Sons, New York, 1996.
- [10] BREWER J. W., Co111rol systems, Analysis, Design and Simulation, Prentice-Hall, lnc, Englewood Cliffs, New Jersey 1974.
- [11] DELANE W., V ACCARI E., Dynamic Models and Discrete Event Simulation, Marcel Dekker, Inc. 1989.
- [12] SJMON H. A., ANDO A., Aggregation of variables in dynamic systems, Econometrica, Vol. 29, 1961.
- [13] COURTOIS P. G., On time and space decomposition of complex structures, Communications of the ACM , Vol. 28, No. 6, 1985.
- [14] BRACKBILL J. U., COHEN B. I. (eds.), Multiple Time Scales, Academic Press. Orlando, FL, 1985.
- [15] SHEBLE G., Computational Auction Mechanisms for Restructured Electric Power Industry Operation, Kluwer Academic Press, Norwell, MA, 1999.
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-article-BPW4-0002-0116