Detailed Literature Survey on Different Methodologies of Unit Commitment

This Paper explores the existing methodologies for the solution of unit commitment problem of large size power system. The survey covers exhaustive review of literature available over the past five decades published by the Pioneers, Experts & Researchers working in this field. It includes publications in standard international journals like IEEE, IEE, ELSEVIER etc, and proceedings of prominent international conferences. The various methods employed to solve the unit commitment problem can be broadly grouped as Conventional and Intelligent. The conventional methodologies include the well known techniques like Priority List, Dynamic Programming, Lagrange Relaxation, Branch-and-Bound , Integer and MixedInteger methods. Intelligent methodologies include the recently developed and popular methods like Genetic Algorithm, simulated annealing, ant colony, Particle swarm optimization, Fuzzy Logic and Neural Networks. This paper summarizes salient features, merits and demerits of, as well as contributions made by research scholars and experts on each of the unit commitment method based on detailed review and critical examination of various methods, The contents of this paper provide ready-to-refer and ready to use information for the researchers working in the field of unit commitment.