Unit commitment problem under deregulated environment-a review

With the fast-paced changing technologies in the power industry, new power references addressing these new technologies are coming to the market. So there is an urgent need to keep a track of international experiences and activities taking place in the field of modern unit commitment problem under deregulated environment. This paper gives a review and general backgrounds of research and developments in the field of unit commitment problem based on many published articles and Web-sites. The collected literatures have been divided into many section, so that new researchers do not face any difficulty in carrying out research in the area of next-generation unit commitment problem.

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[79]  Hiroshi Sasaki,et al.  A solution method of unit commitment by artificial neural networks , 1992 .

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[84]  Eiichi Tanaka,et al.  An Evolutionary Programming Solution to the Unit Commitment Problem , 1997 .

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[88]  F. Albuyeh,et al.  Evaluation of Dynamic Programming Based Methods and Multiple area Representation for Thermal Unit Commitments , 1981, IEEE Transactions on Power Apparatus and Systems.

[89]  Gerald B. Sheblé,et al.  A profit-based unit commitment GA for the competitive environment , 2000 .

[90]  John R. Birge,et al.  A stochastic model for the unit commitment problem , 1996 .

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[93]  Kevin Warwick,et al.  Artificial intelligence techniques in power systems , 1997 .

[94]  S. M. Shahidehpour,et al.  Extended neighborhood search algorithm for constrained unit commitment , 1997 .

[95]  Narayana Prasad Padhy,et al.  A fuzzy decision system for unit commitment risk analysis , 1999 .

[96]  Yahia Baghzouz,et al.  Implementation of the unit commitment problem on supercomputers , 1994 .

[97]  Jorge Valenzuela,et al.  Making unit commitment decisions when electricity is traded at spot market prices , 2001, 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194).

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[103]  D. Chattopadhyay,et al.  A multiobjective operations planning model with unit commitment and transmission constraints , 1999 .

[104]  Md. Sayeed Salam,et al.  Integrating an expert system into a thermal unit-commitment algorithm , 1991 .

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[108]  E. Handschin,et al.  Unit commitment in thermal power systems with long-term energy constraints , 1989, Conference Papers Power Industry Computer Application Conference.

[109]  R. Adapa,et al.  The effect of load uncertainty on unit commitment risk , 1994 .

[110]  T. Numnonda,et al.  Unit commitment by parallel simulated annealing , 1995 .

[111]  S. M. Shahidehpour,et al.  Hydrothermal unit commitment with probabilistic constraints using segmentation method , 1990 .

[112]  Francisco D. Galiana,et al.  Towards a more rigorous and practical unit commitment by Lagrangian relaxation , 1988 .

[113]  P. J. Van Den Bosch,et al.  A Solution of the Unit Commitment Problem Via Decomposition and Dynamic Programming , 1985, IEEE Transactions on Power Apparatus and Systems.

[114]  S. M. Shahidehpour,et al.  Unit commitment with transmission security and voltage constraints , 1999 .

[115]  W. J. Hobbs,et al.  An enhanced dynamic programming approach for unit commitment , 1988 .

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[117]  S. M. Shahidehpour,et al.  A hybrid artificial neural network-dynamic programming approach to unit commitment , 1992 .

[118]  Gerald B. Sheblé,et al.  Unit commitment by genetic algorithm and expert system , 1994 .

[119]  D. P. Kothari,et al.  Optimal thermal generating unit commitment: a review , 1998 .

[120]  Gerald B. Sheblé,et al.  Genetic-based unit commitment algorithm , 1996 .

[121]  Chiang-Tsung Huang,et al.  Dynamic security constrained multi-area unit commitment , 1991 .