Direct power control of DFIG based wind turbine based on wind speed estimation and particle swarm optimization

Hagh, Mehrdad Tarafdar; Roozbehani, Sam; Najaty, F.; Ghaemi, Sehraneh; Tan, Yingjie; Muttaqi, Kashem M.

doi:10.1109/aupec.2015.7324889

Cited by 8 publications

(3 citation statements)

References 11 publications

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“…This allows optimal rotor speed reference tracking [60]. FLC can be used in conjunction with the SMC to generate the value of the gain (b) Predictive direct current control (PDCC) [52] (c) Internal model control (IMC) [61] (d) Artificial neural networks (ANN) [57] (e) Genetic algorithm (GA) [62] (f) Particle swarm optimization (PSO) [63]…”

Section: Sliding Mode Control (Smc)mentioning

confidence: 99%

A Condensed Introduction to the Doubly Fed Induction Generator Wind Energy Conversion Systems

Mwaniki

Lin

Dai

2017

Journal of Engineering

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The increase in wind power penetration, at 456 GW as of June 2016, has resulted in more stringent grid codes which specify that the wind energy conversion systems (WECS) must remain connected to the system during and after a grid fault and, furthermore, must offer grid support by providing reactive currents. The doubly fed induction generator (DFIG) WECS is a well-proven technology, having been in use in wind power generation for many years and having a large world market share due to its many merits. Newer technologies such as the direct drive gearless permanent magnet synchronous generator have come up to challenge its market share, but the large number of installed machines ensures that it remains of interest in the wind industry. This paper presents a concise introduction of the DFIG WECS covering its construction, operation, merits, demerits, modelling, control types, levels and strategies, faults and their proposed solutions, and, finally, simulation. Qualities for the optimal control strategy are then proposed. The paper is intended to cover major issues related to the DFIG WECS that are a must for an overview of the system and hence serve as an introduction especially for new entrants into this area of study.

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Section: Sliding Mode Control (Smc)mentioning

confidence: 99%

A Condensed Introduction to the Doubly Fed Induction Generator Wind Energy Conversion Systems

Mwaniki

Lin

Dai

2017

Journal of Engineering

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“…Their applicability extends to all electrical machines, encompassing electric motors and generators. Moving on to the third group, we encounter smart strategies, including genetic algorithms [32], neural networks [33], particle swarm optimization [34], and fuzzy logic [35]. These strategies are employed to enhance the dynamic behavior and calculate system parameters.…”

Section: Introductionmentioning

confidence: 99%

Robust Control of DFIG-Based WECS Integrating an Energy Storage System With Intelligent MPPT Under a Real Wind Profile

Chojaa,

Derouich,

Zamzoum

et al. 2023

IEEE Access

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This research work addresses the challenge of controlling a wind energy conversion system (WECS) connected to the grid, which incorporates a battery energy storage system and operates under varying real wind speed profiles. The system comprises a Doubly-Fed Induction Generator (DFIG) connected to the grid through an AC/DC/AC converter, along with a Li-ion battery pack storage unit linked to the Back-to-Back converter DC via a DC/DC converter. The study highlights that internal parametric variations and the non-linear behavior of the wind turbine negatively affect the energy quality produced, as well as the battery charging performance and its overall lifespan. To overcome these issues, the research proposes a robust control strategy based on Integral action Sliding Mode Control (ISMC) to independently manage the powers of the WECS, particularly the DFIG, to enhance dynamic performance. Furthermore, effective battery charging and discharging controllers are crucial for efficiently distributing the generated power to both the grid and the storage unit, ensuring proper energy extraction and battery charging/discharging. Depending on the battery's State of Charge (SOC), the available extracted energy, and the power injected into the grid, two current regulation modes are employed: buck charging mode and boost discharging mode. A storage system energy management algorithm is then utilized to determine the appropriate charging mode, ensuring battery safety. To validate the system's performance, a 1.5 MW wind power conversion system is tested using Matlab/Simulink simulations. The results demonstrate the robustness and efficiency of the proposed control approach in enhancing the overall system's performance.

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“…This local reactive load had been ignored in most of the previous works, or it was being fed externally through the main grid. Furthermore, a non‐linear and robust controller [32, 33] based on the sliding mode concept is designed for reference current tracking in the dq reference frame. This controller is compared with the conventional PI controller to demonstrate its merit.…”

Section: Introductionmentioning

confidence: 99%

Real‐time low/high‐voltage ride‐through capability improvement of micro‐grid based on coordinated robust grid‐following control

Kordkandi

Hagh

Roozbehani

2022

IET Generation Trans & Dist

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This paper proposes a coordinated control strategy to enhance the low/high-voltage ridethrough (L/HVRT) capability of grid-tied micro-grids (MGs). The novel control scheme, which is based on grid-following concepts, contains two layers for each power source of MG. The former, known as the primary layer, has reverse-droop and non-linear robust sliding mode control. Furthermore, the secondary layer detects voltage perturbations based on L/HVRT curves. Then, the reactive power required for supporting the main grid is determined through the dynamic-voltage-support requirement of the grid codes. Finally, coordinated reactive power-sharing among the sources is performed based on the presented method and free capacity of the power sources. Several case studies are carried out to assess the effectiveness of the proposed control scheme, which points out that the aims of this study, such as compliance with the grid codes, sharing reactive power among the sources, tracking the reactive power precisely and feeding local loads, are achieved. The superiority of the presented strategy against its grid-forming counterparts is demonstrated in comparison tests for the studied grid-tied MG. Simulations are performed in an offline MATLAB/Simulink environment and then validated by experimental real-time results.

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Direct power control of DFIG based wind turbine based on wind speed estimation and particle swarm optimization

Cited by 8 publications

References 11 publications

A Condensed Introduction to the Doubly Fed Induction Generator Wind Energy Conversion Systems

A Condensed Introduction to the Doubly Fed Induction Generator Wind Energy Conversion Systems

Robust Control of DFIG-Based WECS Integrating an Energy Storage System With Intelligent MPPT Under a Real Wind Profile

Real‐time low/high‐voltage ride‐through capability improvement of micro‐grid based on coordinated robust grid‐following control

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