Peak power optimization based on nonlinear prediction and fuzzy logic | Zendy

Bratislav Danković | Zendy; Zoran Jovanović | Zendy; Dragan Antić | Zendy

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Peak power optimization based on nonlinear prediction and fuzzy logic

Author(s) -

Bratislav Danković,

Zoran Jovanović,

Dragan Antić

Publication year - 2005

Publication title -

facta universitatis - series electronics and energetics

Language(s) - English

Resource type - Journals

eISSN - 2217-5997

pISSN - 0353-3670

DOI - 10.2298/fuee0503431d

Subject(s) - fuzzy logic , nonlinear system , nonlinear programming , power (physics) , mathematical optimization , power consumption , computer science , optimization algorithm , electric power system , energy (signal processing) , control theory (sociology) , mathematics , artificial intelligence , physics , statistics , control (management) , quantum mechanics

A new peak power optimization algorithm of the electric energy consump- tion with nonlinear prediction is presented in this paper. The system parameters for optimization are adjusted using fuzzy logic.

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