Wind Energy Systems

García-Sanz, Mario; Houpis, Constantine H.

doi:10.1201/b11673

Cited by 92 publications

(24 citation statements)

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“…IND power is playing a central role in the current energy market, being the fastest-growing source of energy worldwide in the last few decades [1] [2]. However, as wind energy penetration in the grid increases, challenges such as the response to grid voltage dips, active and reactive power control, restoration of grid services after power outages need to be addressed.…”

Section: Introductionmentioning

confidence: 99%

Integral terminal sliding mode control to provide fault ride-through capability to a grid connected wind turbine driven DFIG

Morshed

Fekih

2015

2015 IEEE International Conference on Industrial Technology (ICIT)

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With the increased number of wind turbines being directly connected to the power grid comes new challenges regarding grid integration. Fault ride through capability during voltage sags are among the most challenging issues. Conventional ride through techniques result in a compromised control of the turbine shaft and grid current during deep voltage sags. In this paper, an integral terminal sliding mode controller is designed to control the Rotor Side Converter during deep voltage sags. In addition, to further improve the performance of the DFIG during voltage sags, an inverter and three single phase transformers are placed in series with the generator which is controlled using a Fuzzy logic controller. Computer experiments were carried out to validate the proposed control approach. Results clearly show that the proposed controller is very effective in maintaining the currents and voltages of the DFIG bus within acceptable ranges during deep voltage sags, hence preventing damages to the rotor side converter and ensuring the WT remains connected to the grid during such faults.Index Terms DFIG, wind turbine, integral terminal sliding mode, fuzzy logic controller, voltage sag.

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Section: Introductionmentioning

confidence: 99%

Integral terminal sliding mode control to provide fault ride-through capability to a grid connected wind turbine driven DFIG

Morshed

Fekih

2015

2015 IEEE International Conference on Industrial Technology (ICIT)

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“…Research and development intended for this technology has been carried out in order to allow a reduction on investment per unit of power capacity and an improvement on the quality of energy injected into the electric grid. The technology of WECS having variable-speed and variable-pitch (VSVP) has been reported as having enhanced performance due to advantageous energy capturing when compared with other conventional technology for WECS [2,3]. Also, amongst the electrical generators available for equipping WECS having VSVP, the option for the doubly-fed induction generator (DFIG) stands out in industry and became the mainstream choice [4,5].…”

Section: Introductionmentioning

confidence: 99%

Wind energy conversion system under a supervisor deterministic finite state machine

Viveiros

Melício

Igreja

et al. 2016

2016 IEEE International Power Electronics and Motion Control Conference (PEMC)

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− This paper presents a simulation of an onshore energy conversion system connected to the electric grid and under a strategy of a supervisor control based on deterministic version of a finite state machine. The simulation is planned to address an analysis on performance due to the action of the supervisor. The supervisor is included at the higher level, having the objective of analyzing the operational states according to the wind speed. The energy conversion system is equipped with a doubly-fed induction generator and a variable speed variable pitch wind turbine. The analysis is carried by computer simulations and the obtained results allow assessment to the performance of the system. A comparison of the wind energy conversion system performance with or without the supervisor is carried out in order to access the influence of the strategy on the performance.

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“…In 2012, wind power exploitation has a growth of 19.2 % and this was the lowest rate achieved in more than a decade [1]. A wind energy conversion system running at variable-speed [2] offer the following advantages: mechanical stress is reduced, torque oscillations are not transmitted to the grid, and below the rated wind speed the rotor speed is controlled to achieve maximum aerodynamic efficiency. A variable-speed WECS connected to the electric grid has either a doubly fed induction generators (DFIGs) or a full-power converter.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy, integer and fractional-order control: Application on a wind turbine benchmark model

Viveiros

Melício

Igreja

et al. 2014

2014 19th International Conference on Methods and Models in Automation and Robotics (MMAR)

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-This paper presents a comparison between proportional integral control approaches for variable speed wind turbines. Integer and fractional-order controllers are designed using linearized wind turbine model whilst fuzzy controller also takes into account system nonlinearities. These controllers operate in the full load region and the main objective is to extract maximum power from the wind turbine while ensuring the performance and reliability required to be integrated into an electric grid. The main contribution focuses on the use of fractional-order proportional integral (FOPI) controller which benefits from the introduction of one more tuning parameter, the integral fractional-order, taking advantage over integer order proportional integral (PI) controller. A comparison between proposed control approaches for the variable speed wind turbines is presented using a wind turbine benchmark model in the Matlab/Simulink environment. Results show that FOPI has improved system performance when compared with classical PI and fuzzy PI controller outperforms the integer and fractionalorder control due to its capability to deal with system nonlinearities and uncertainties.

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Wind Energy Systems

Cited by 92 publications

References 0 publications

Integral terminal sliding mode control to provide fault ride-through capability to a grid connected wind turbine driven DFIG

Integral terminal sliding mode control to provide fault ride-through capability to a grid connected wind turbine driven DFIG

Wind energy conversion system under a supervisor deterministic finite state machine

Fuzzy, integer and fractional-order control: Application on a wind turbine benchmark model

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