Optimal Unit Commitment for Thermal Power Plants using Combined Fuzzy Logic and Shuffled Frog Leaping Algorithm Method

Subject Areas : Renewable energy

Hasan  Barati ¹ (Assistant Professor/Dezful Branch, Islamic Azad University)
Esmaeil  Fathi ² (Dezful Branch, Islamic Azad University, Dezful, Iran)
Mohammad  Nasir ³ (Department of Electrical Engineering, Dezful Branch, Islamic Azad University, Dezful, Iran,)

Received: 2018-04-06 Accepted : 2018-08-28 Published : 2018-11-06

Keywords: fuzzy logic, Unit commitment, Thermal Units, Shuffled Frog Leaping Algorithm, Lagrange Relaxation,

Abstract :

Optimal Unit Commitment for Thermal Power Plants using Combined Fuzzy Logic and Shuffled Frog Leaping Algorithm MethodIn this paper, the thermal unit commitment is solved by using combined fuzzy logic and Shuffled Frog Leaping Algorithm, in which the minimum and maximum generation constraints, minimum up/down-time constraints, starting time, spinning reserve,and so on are considered. Fuzzy logic is used to reduce the production time of the ON/OFF cycle durations of each unit in the feasible solutions. Shuffled Frog Leaping Algorithm is used to optimize the results. Using the proposed method reduces the computation time and also the generation cost. The simulation has been done in the MATLAB software environment, and as its results compared with some other intelligent algorithms including Lagrange Relaxation (LR), Integer-Coded Genetic Algorithm (GA) and Bacterial Foraging (BF) for improvements in generation cost and problem solving time is shown. This method has the ability to develop solving unit commitment in different dimensions with considering constraints and limits.

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