Control of Permanent-Magnet Generators Applied to Variable-Speed Wind-Energy Systems Connected to the Grid

Chinchilla, M.; Arnaltes, Santiago; Burgos, Juan Carlos

doi:10.1109/tec.2005.853735

Cited by 1,127 publications

(480 citation statements)

References 5 publications

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“…In low speed blade turbines with more than two blades, the power coefficient varies between 0.2 and 0.5 [4][5][6][7]. The produced torque of the WT can be expressed as [1,[4][5][6][7]:…”

Section: Model Of Pm Synchronous Generatormentioning

confidence: 99%

“…The voltage equations for the PM synchronous generator in the rotor reference frame can be indicated as follows [1,[7][8][9][10]:…”

Section: Model Of Pm Synchronous Generatormentioning

confidence: 99%

“…In this paper, the control principle of the PM synchronous generator system is based on field-orirnted control [7][8][9][10]. The output power of the PM synchronous generator can be expressed as:…”

Section: Model Of Pm Synchronous Generatormentioning

confidence: 99%

“…The permanent magnet (PM) synchronous generator system has been used for a wind power generating system due to simpler structure, better reliability etc. [4][5][6][7][8]. The output behavior of a wind turbine is a nonlinear and time-varying system.…”

Section: Introductionmentioning

confidence: 99%

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Wind Turbine Driving a PM Synchronous Generator Using Novel Recurrent Chebyshev Neural Network Control with the Ideal Learning Rate

Lin

2016

Energies

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A permanent magnet (PM) synchronous generator system driven by wind turbine (WT), connected with smart grid via AC-DC converter and DC-AC converter, are controlled by the novel recurrent Chebyshev neural network (NN) and amended particle swarm optimization (PSO) to regulate output power and output voltage in two power converters in this study. Because a PM synchronous generator system driven by WT is an unknown non-linear and time-varying dynamic system, the on-line training novel recurrent Chebyshev NN control system is developed to regulate DC voltage of the AC-DC converter and AC voltage of the DC-AC converter connected with smart grid. Furthermore, the variable learning rate of the novel recurrent Chebyshev NN is regulated according to discrete-type Lyapunov function for improving the control performance and enhancing convergent speed. Finally, some experimental results are shown to verify the effectiveness of the proposed control method for a WT driving a PM synchronous generator system in smart grid.

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“…In low speed blade turbines with more than two blades, the power coefficient varies between 0.2 and 0.5 [4][5][6][7]. The produced torque of the WT can be expressed as [1,[4][5][6][7]:…”

Section: Model Of Pm Synchronous Generatormentioning

confidence: 99%

“…The voltage equations for the PM synchronous generator in the rotor reference frame can be indicated as follows [1,[7][8][9][10]:…”

Section: Model Of Pm Synchronous Generatormentioning

confidence: 99%

Section: Model Of Pm Synchronous Generatormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Wind Turbine Driving a PM Synchronous Generator Using Novel Recurrent Chebyshev Neural Network Control with the Ideal Learning Rate

Lin

2016

Energies

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“…Also to simplify the design of the current controllers, we introduce a linearization and decoupling feedback 9 :…”

Section: Pmsg Current Dynamics Decoupling and Linearizationmentioning

confidence: 99%

Wind Turbine Generation Systems Modeling for Integration in Power Systems

Junyent-Ferré

Gomis‐Bellmunt

2011

Handbook of Renewable Energy Technology

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Recent control techniques and management of AC microgrids: A critical review on issues, strategies, and future trends

Singh¹,

Singh²,

Verma

et al. 2021

Int Trans Electr Energ Syst

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Summary Distributed generation is considered as a key component of the emerging microgrid (MG) concept, enabling the integration of renewable sources in a distributed network. The MG has been accepted globally as a new approach that provides a flexible, reliable, sustainable, and economical solution for green and clean power generation. Microgrid is constituted by distributed energy resources (DERs) and is a combination of parallel connection equipped with suitable control and protection scheme for the operation in both islanded and utility grid‐connected mode. Microgrid structure with various hierarchy control techniques is categorized into three layers such as primary control, secondary control, and tertiary control techniques. A comprehensive literature review of these control techniques in AC microgrid is presented. In addition, the technical challenges of existing MGs affect real‐time applications around the globe. For the development and execution of various MG topologies, suitable power strategies are adopted to integrate distributed generation (IDG), energy storage system (ESS), and consumer loads for an improved energy management system (EMS). This paper presents a state‐of‐the‐art review of recent control techniques of AC microgrids with DERs having various important aspects; hierarchical control techniques, management strategies, technical challenges, and their future trends in the system. Moreover, a comparative performance analysis of our proposed review with existing surveys of AC control techniques with their individual merits and demerits have been presented. Furthermore, this investigation of different power control techniques applied in MG is compared and classified in terms of various important features, highlighting potential advantages, and different applications.

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Control of Permanent-Magnet Generators Applied to Variable-Speed Wind-Energy Systems Connected to the Grid

Cited by 1,127 publications

References 5 publications

Wind Turbine Driving a PM Synchronous Generator Using Novel Recurrent Chebyshev Neural Network Control with the Ideal Learning Rate

Wind Turbine Driving a PM Synchronous Generator Using Novel Recurrent Chebyshev Neural Network Control with the Ideal Learning Rate

Wind Turbine Generation Systems Modeling for Integration in Power Systems

Recent control techniques and management of AC microgrids: A critical review on issues, strategies, and future trends

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