Optimal Tuning of a New Multi-input Multi-output Fuzzy Controller for Doubly Fed Induction Generator-Based Wind Energy Conversion System.

Autor: Nasef, Sahar A., Hassan, Amal A., Elsayed, Hanaa T., Zahran, Mohamed B., El-Shaer, Mohamed K., Abdelaziz, Almoataz Y.
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Zdroj: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ); Mar2022, Vol. 47 Issue 3, p3001-3021, 21p
Abstrakt: Wind energy is one of the world's leading promising renewable energy sources, due to that there is a prediction that wind generation systems will provide maximum power supply and have good integration with the electric grid. To fulfill the increasing power demand, wind power generation systems need more advanced, novel, and robust control approaches to achieve a more stable operation of the controller and to improve the overall efficiency of the system. This paper presents an optimal design and tuning of fuzzy logic controllers (FLC) for a 1.5-MW doubly fed induction generator (DFIG), grid-connected, wind energy conversion system (WECS) using intelligent methodologies such as particle swarm optimizer (PSO), the gray wolf optimization (GWO), moth-flame optimizer (MFO), and multi-verse optimizer (MVO). FLC scaling factors are optimized for both dc-link voltage controller and current regulators of the grid-side converter and rotor-side converter of the back to back of DFIG wind turbine. A multi-objective optimization methodology is proposed which aims to minimize the steady-state errors of these controllers to improve the dynamic operation of the DFIG wind energy system subjected to variable wind speed conditions. Finally, a comparison is carried out between the different optimization techniques for FLC using PSO, GWO, MFO, and MVO, also between the proposed optimized controller and PI controller. The main contribution of this study is that it proposes a new control methodology for a DFIG-based WECS. This strategy is to optimize multi-input multi-output MIMO-FLC scaling factors by applying PSO, GWO, MFO, and MVO algorithms to control the d-q component of rotor and stator currents to control the active and reactive power of the DFIG. The operation of the proposed controller is tested under variable wind speed to investigate the DFIG behavior in case of transition from low to high gust and it is found by comparing the different techniques that the best-optimized controller is MFO-FLC which gives a very good behavior under variable wind speed conditions. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index
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