Design and implementation of PI controllers of direct drive PMSG wind turbine system tuned by Linearized biogeography-based optimization technique

Yassin, H. M.; Hanafy, H. H.; Hallouda, Mohab M.

doi:10.1109/iecon.2016.7793375

Cited by 8 publications

(3 citation statements)

References 15 publications

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“…In [90], the authors introduce a technique for optimally obtaining the gains of the proportional integral (PI) controllers. The technique is based on developing a space of states model and obtaining the eigenvalues of the matrix A of the state space model.…”

Section: Wu Et Al 2013mentioning

confidence: 99%

Expert Control Systems for Maximum Power Point Tracking in a Wind Turbine with PMSG: State of the Art

et al. 2019

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Wind power is a renewable energy source that has been developed in recent years. Large turbines are increasingly seen. The advantage of generating electrical power in this way is that it can be connected to the grid, making it an economical and easily available source of energy. The fundamental problem of a wind turbine is the randomness in a wide range of wind speeds that determine the electrical energy generated, as well as abrupt changes in wind speed that make the system unstable and unsafe. A conventional control system based on a mathematical model is effective with moderate disturbances, but slow with very large oscillations such as those produced by turbulence. To solve this problem, expert control systems (ECS) are proposed, which are based on human experience and an adequate management of stored information of each of its variables, providing a way to determine solutions. This revision of recent years, mentions the expert systems developed to obtain the point of maximum power generation in a wind turbine with permanent magnet synchronous generator (PMSG) and, therefore, offers a control solution that adapts to the specifications of any wind turbine.

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Section: Wu Et Al 2013mentioning

confidence: 99%

Expert Control Systems for Maximum Power Point Tracking in a Wind Turbine with PMSG: State of the Art

et al. 2019

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“…with I r denotes the rectifier current defined by [28] (15) and I o is the inverter current which is given by [29]…”

Section: Linkmentioning

confidence: 99%

“…Several control tuning strategies of WECS have been proposed in order to reach these aims [12]. Authors in [13][14][15][16] regulate the power transfer using simple proportional-integral (PI) controllers. The parameters of PI controller are adjusted to a specific operating point.…”

Section: Introductionmentioning

confidence: 99%

Intelligent control of grid‐connected AC–DC–AC converters for a WECS based on T–S fuzzy interconnected systems modelling

Harrabi

Souissi

Aïtouche³

et al. 2018

IET Power Electronics

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Control of power converters is undoubtedly an essential issue in wind-energy systems. This study focuses on the development of a control scheme dedicated to a wind-energy conversion system (WECS) based on Takagi-Sugeno (T-S) fuzzy model. The treated system includes a wind turbine followed by a permanent magnet synchronous generator and power electronic converters. After describing the elements constituting the WECS, the main objectives of control are to extract the maximum amount of available power and to control the DC-bus voltage. The proposed approach is based on the concept of decentralised stabilisation. First, as to reduce the complexity of the system, the WECS is divided into two interconnected nonlinear subsystems. Then, each subsystem is represented by a T-S fuzzy model. Using the parallel distributed compensation concept, a decentralised fuzzy controller is synthesised for each subsystem. Sufficient conditions are derived from Lyapunov theory and the local feedback gains for each controller are calculated by using linear matrix inequalities tools. Therefore, the whole closed-loop fuzzy system is stable using the elaborated fuzzy control scheme. Simulation results are included to show the performance of the proposed algorithm.

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Development and performance analysis of intelligent fault ride through control scheme in the dynamic behaviour of grid connected DFIG based wind systems

2020

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Design and implementation of PI controllers of direct drive PMSG wind turbine system tuned by Linearized biogeography-based optimization technique

Cited by 8 publications

References 15 publications

Expert Control Systems for Maximum Power Point Tracking in a Wind Turbine with PMSG: State of the Art

Expert Control Systems for Maximum Power Point Tracking in a Wind Turbine with PMSG: State of the Art

Intelligent control of grid‐connected AC–DC–AC converters for a WECS based on T–S fuzzy interconnected systems modelling

Development and performance analysis of intelligent fault ride through control scheme in the dynamic behaviour of grid connected DFIG based wind systems

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