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|Title||Fuzzy Logic Based Solution to the Unit Commitment Problem|
The aim of the unit commitment is to obtain the best combination of generation units to be turned on/off for each power demand of the daily load curve in order to ensure economic scheduling of power generation to minimize the production cost while satisfying a variety of constraints. Different techniques are available to handle the unit commitment problem to provide quality solutions in order to increase the potential savings of the power system operation such as deterministic and stochastic or modern search techniques. In this study, a proposed approach based on the fuzzy logic to handle the unit commitment problem is introduced where the suggested method is used to formulate the problem, to provide superior detection of the logic rules required, and to develop adequate algorithm that better solves them. To test the validity and effectiveness of the proposed approach, the outcomes of this approach are compared with those obtained by the dynamic programming which is the mostly used method to handle the unit commitment problem. Firstly, the production costs obtained by the fuzzy-logic and the dynamic programming for the same unit combination at each time interval loading are compared and secondly, the production costs of the fuzzy-logic and the dynamic programming are compared when both methods are employed separately to provide unit combination and production costs for each time interval. To undertake this study, two models of the Tuncbilek Thermal Power Plant in Turkey are selected. The first model consists of four generation units while the other consists of ten units. The load demand is assumed to vary over eight time periods for the four-unit model while it is assumed to vary on an hourly basis during the course of the day for the ten-unit model. The fuzzy logic approach has been successfully implemented to both models and the results have shown that the fuzzy-logic performs better than the dynamic programming in all cases of comparison.
|Publisher||the islamic university|
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