A novel LMSRE-based adaptive PI control scheme for grid-integrated PMSG-based variable-speed wind turbine. (February 2021)

• Record Type: Journal Article
• Authors: Qais, Mohammed H.; Hasanien, Hany M.; Alghuwainem, Saad
• Is Part Of: International journal of electrical power & energy systems. Volume 125(2021)
• Publication Date: 2021-02
• Subjects: Adaptive filtering algorithm -- Control system -- PI controllers -- Wind energy; FRTA fault ride-through ability -- LMSRE least mean square root of exponential -- LMS least mean square -- MPPT maximum power point tracking -- PI proportional-integral -- PMSG permanent magnet synchronous generator; Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2020.106505
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: A novel least mean square root of exponential (LMSRE) algorithm is proposed. The LMSRE is tested using unknown system identification. The LMSRE algorithm is utilized for the adaptive control of the grid-integrated PMSG-VSWT. The LMSRE-PI and LMS-PI controllers are tested under real data wind speed and grid faults. The results shown that the LMSRE algorithm is robust and competitive. Abstract: This article proposes a novel adaptive control scheme based on proportional-integral (PI) controllers and new adaptive filtering algorithm called the least mean square root of exponential (LMSRE) algorithm. Firstly, the proposed LMSRE algorithm is applied to unknown system identification then it is compared with other benchmarks algorithms such as least mean square (LMS), least mean fourth (LMF), and continuous mixed p-norm (CMPN). Secondly, the LMSRE is applied to self-tune the parameters of the cascaded PI controllers to improve the maximum power point tracking (MPPT) and fault ride-through ability (FRTA) of grid-integrated permanent magnet synchronous generator (PMSG) based wind turbines. Then, the robustness of LMSRE-PI and LMS-PI controllers are tested under real measured wind speed data and severe fault conditions. The simulation results revealed that the LMSRE-PI achieved better dynamic and transient responses than the LMS-PI controllers. With the proposed control scheme, the performance of variable speed wind turbines can be further enhanced.