Optimized Double-Stage Fractional Order Controllers for DFIG-Based Wind Energy Systems: A Comparative Study

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104584 - 104584

Published: March 1, 2025

Language: Английский

Hybrid ANFIS-PI-Based Optimization for Improved Power Conversion in DFIG Wind Turbine

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2454 - 2454

Published: March 11, 2025

Wind energy is essential for promoting sustainability and renewable power solutions. However, ensuring stability consistent performance in DFIG-based wind turbine systems (WTSs) remains challenging due to rapid speed variations, grid disturbances, parameter uncertainties. These fluctuations result instability, increased overshoot, prolonged settling times, negatively impacting compliance system efficiency. Conventional proportional-integral (PI) controllers are simple effective steady-state conditions, but they lack adaptability dynamic situations. Similarly, artificial intelligence (AI)-based controllers, such as fuzzy logic (FLCs) neural networks (ANNs), improve suffer from high computational demands training complexity. To address these limitations, this paper presents a hybrid adaptive neuro-fuzzy inference (ANFIS)-PI controller WTS. The proposed integrates with network-based learning, allowing real-time optimization of control parameters. Implemented within the rotor-side converter (RSC) grid-side (GSC), ANFIS enhances reactive management, compliance, overall stability. was tested under step signal varying 10 m/s 12 evaluate its robustness. simulation results confirmed that ANFIS-PI significantly improved compared conventional PI controller. Specifically, it reduced rotor overshoot by 3%, torque 12.5%, active 2%, DC link voltage 20%. Additionally, shortened time 50% speed, 25% torque, 33% power, 16.7% voltage, faster stabilization, enhanced response, greater improvements establish an advanced, computationally efficient, scalable solution enhancing reliability WTS, facilitating seamless integration into modern grids.

Language: Английский

An Analysis Comparing the Performance of Wind Energy Conversion Systems Utilising FLC Controllers

The Eurasia Proceedings of Science Technology Engineering and Mathematics, Journal Year: 2024, Volume and Issue: 31, P. 11 - 17

Published: Dec. 15, 2024

This research gives a comparative analysis of Proportional-Integral (PI) and Fuzzy Logic Control (FLC) controllers for control systems wind energy conversion (WECS). The PI controller is conventional technique that extensively employed due to its simplicity efficacy in regulating system behaviour through the adjustment proportional integral gains. FLC, on other hand, utilises language rules fuzzy logic reasoning imitate human decision-making processes, providing flexible adaptable strategy. selection between dependent particular demands limitations application. comparison study evaluates performance various scenarios, specifically scenario speed cascaded doubly fed induction generator (CDFIG). Wind consist CDFIG connected grid via matrix converter or rectifier inverter. will present numerical simulation results conducted using MATLAB/Simulink program demonstrate feasibility proposed

Language: Английский