Comparative Study Regarding Control of Wind Energy Conversion Systems Based on the Usage of Classical and Adaptive Neuro Fuzzy Controllers
Iosif Szeidert
TL;DR
This paper compares classical PD and adaptive neuro-fuzzy controllers for wind energy systems through MATLAB simulations, highlighting differences in control effectiveness for systems with asynchronous generators.
Contribution
It introduces a comparative analysis of adaptive neuro-fuzzy and PD controllers for wind energy conversion systems using MATLAB simulations.
Findings
Adaptive neuro-fuzzy controllers improve system stability.
Simulation results show differences in response times.
Control strategies impact energy conversion efficiency.
Abstract
The paper presents a comparative study regarding the control (using an adaptive neuro-fuzzy controller and a PD controller) based on the simulation of wind energy conversion systems functioning. There are considered several simulations based on asynchronous generator usage, by using the dedicated MATLAB-PSB (Power System Blockset) toolbox implementations.
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Taxonomy
TopicsWind Turbine Control Systems · Wind Energy Research and Development · Energy Load and Power Forecasting