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|Title||Fuzzy-Logic-Based Approach to Solve the Unit-Commitment Problem|
This study presents an application ofthe fuzzy-logic to solve the unit commitment problem in general and in particular to find unit combinations and their generation scheduling to bring the total operating cost to a minimum, when subject to a variety of constraints. This approach allows a qualitative description of the behavior of a certain system, the system's characteristics, and the response without the need for exact mathematical formulations. This approach is demonstrated by employing a four-generation-units thermal power plantas a case study. The goal is to show that a fuzzy-logic-basedapproach achieves logical, feasible, and economical operation of the power generation plant, which is the main objective of solving the unit commitment problem. It is worth mentioning that the algorithm in this study benefits from the dynamic programming and fuzzy logic approaches in orderto obtain preferable unit combinations at each time period and the ability of representing the results in terms of input variables. The numerical results obtained by the fuzzy-logic-based approach are compared with dynamic programmingto demonstrate its superiority and these results have shown that the performance of the proposed approach exceeds that of the dynamic programming.
|Published in||International Journal of Engineering Research and Development ISSN|
|Series||Volume: 2, Number: 1|
|Item link||Item Link|
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