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Two T S fuzzy power distribution controllers have been designed and tested.
An indirect adaptive fuzzy power system stabiliser (AFPSS) is developed using the concept of fuzzy basis functions.
In this paper, we develop a wide range of hesitant fuzzy power aggregation operators for hesitant fuzzy information.
This paper presents a design of fuzzy power system stabilizer (FPSS) using an adaptive evolutionary algorithm (AEA).
The design of a model-free fuzzy power system stabilizer (PSS) lacks systematic stability analysis and performance guarantees.
In order to solve the power flow problem we define a way to model nested information in power system and formalize an AC fuzzy power flow problem.
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Simulation studies are performed to evaluate the performance of the fuzzy logic power system stabilizer (FLPSS) and PID power system stabilizer (PIDPSS).
A robust fuzzy logic power system stabilizer (FLPSS) based on evolution and learning is proposed in this paper.
Most of the design of a fuzzy logic power system stabiliser (FLPSS) relies on researchers' experience, or trial and error tuning.
In this paper, a hybrid neuro-fuzzy wind power prediction system is proposed.
This paper proposes a Takagi Sugeno (T S) fuzzy logic-based power distribution system.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com