Intelligent Control of Power Generation States

Abstract The topicality of the problem of power generating facility identification is justified against the background of European and Russian power grids interconnection. Intelligent control techniques for power generation states is presented. A technology for estimating the dynamics of power grid's generating facilities participation in overall primary frequency regulation in contingencies is developed based on frequency and generating capacity time series. Process identification algorithms based on virtual models design using process data archives and knowledge bases are discussed. Associative search methods are used for identification algorithms development.

[1]  O. Larichev,et al.  ESTHER — expert system for the diagnostics of acute drug poisonings , 2002 .

[2]  Peter B. Luh,et al.  Scheduling of hydrothermal power systems , 1993 .

[3]  Xu Ruilin,et al.  Joint analysis of power system reliability and market price considering the uncertainties of load forecasts , 2006, 2006 International Conference on Power System Technology.

[4]  E. Hunt.  COGNITIVE SCIENCE: Definition, Status, and Questions , 1989 .

[5]  N. I. Voropai,et al.  Liberalization and modernization of power systems , 2001 .

[6]  Andrey V. Gavrilov,et al.  The model of associative memory of intelligent system , 2002, Proceedings 6th Russian-Korean International Symposium on Science and Technology. KORUS-2002 (Cat. No.02EX565).

[7]  Birger Mo,et al.  Integrated risk management of hydro power scheduling and contract management , 2001 .

[8]  M. Pereira.  Optimal stochastic operations scheduling of large hydroelectric systems , 1989 .

[9]  F. Prieto,et al.  Long-term generation scheduling in systems with large hydro resources in a deregulated electric power market , 2003, 2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491).

[10]  V. N. Zakharov,et al.  Fuzzy models of intelligent industrial controllers and control systems. II: Evolution and principles of design , 1995 .

[11]  L. J. Oppel,et al.  Information technology. Its increased importance in the power industry after deregulation , 1999, 1999 IEEE Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.99CH36364).

[12]  W. Wu,et al.  Optimal Scheduling of Hydropower Plant with Uncertainty Energy Price Risks , 2006, 2006 International Conference on Power System Technology.

[13]  Chanan Singh,et al.  Calculation of risk and statistical indices associated with available transfer capability , 2003 .

[14]  Vimla L. Patel,et al.  Cognitive models of directional inference in expert medical reasoning , 1997 .

[15]  S. Kraftnat,et al.  The system operator's role and challenges in an open market environment , 2000, 2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077).

[16]  Antonio Piras,et al.  A multiresponse structural connectionist model for short term electrical load forecasting , 1996 .

[17]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[18]  Vladimir A. Lototsky,et al.  ASSOCIATIVE SEARCH MODELS IN INDUSTRIAL SYSTEMS , 2007 .