Abstract: In power industries, fuel expenses constitute a significant part of the overall generation costs. In general, there exist different types of thermal power units based on fuel used, with different production costs, generating capacities and characteristics in a system. The system usually operates under continuous variation of consumer load demand. Determining an optimal economical dispatch schedule of a set of generating units to meet a load demand while satisfying a set of operational constraints is called the Unit Commitment Problem. This paper describes the application of genetic algorithm and fuzzy logic for determining short-term commitment of thermal units in electrical power generation. Feasibility of these methods is examined and preliminary results to determine near optimal commitment order of thermal units in studied power system over short term are reported. The results obtained from genetic algorithm and fuzzy logic based approach are compared with the priority list method solution to unit commitment problem. The comparison proves that genetic algorithm and fuzzy logic based approach are powerful tools for solving such highly non-linear, multi constrained optimization problems in electrical power systems.
Keywords: Unit Commitment, Genetic Algorithm, Fuzzy Logic, Priority List.
Title: Thermal Unit Commitment
Author: Dr. Deepak P. Kadam
International Journal of Electrical and Electronics Research
ISSN 2348-6988 (online)
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