Automatic generation control of a wind farm with variable speed wind turbines

Rodriguez-Amenedo, José Luis; Arnalte, S.; Burgos, Juan Carlos

doi:10.1109/tec.2002.1009481

Cited by 263 publications

(74 citation statements)

References 4 publications

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“…The change in the ω r affects λ and, therefore, changes c P . As a result, P mech changes [13]. The proposed algorithm remains at λ as the previous constant value.…”

Section: Proposed Cutback Control Modementioning

confidence: 99%

Dedicated Cutback Control of a Wind Power Plant Based on the Ratio of Command Power to Available Power

Thapa¹,

Yoon²,

Lee³

et al. 2014

Journal of Electrical Engineering and Technology

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-Cutback control in a grid code is one of the functions of a wind power plant (WPP) that is required to support the system protection and frequency stability. When a cutback control command signal is delivered to the WPP from the system operator, the output of a WPP should be decreased to 20% of the rated power within 5 s. In this paper, we propose a dedicated cutback control algorithm of a WPP based on the ratio of the command power to the available power. If a cutback control signal is delivered, the algorithm determines the pitch angle for the cutback control and starts the pitch angle control. The proposed algorithm keeps the rotor speed at the speed before the start of the cutback control to quickly recover the previous output prior to the cutback control. The performance of the algorithm was validated for a 100 MW aggregated WPP based on a permanent magnet synchronous generator under various wind conditions using an EMTP-RV simulator. The results clearly shows that the proposed algorithm not only successfully reduces the output to the command power within 5 s by minimizing the fluctuation of the pitch angle, but also rapidly recovers to the output level before the cutback control.

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“…The change in the ω r affects λ and, therefore, changes c P . As a result, P mech changes [13]. The proposed algorithm remains at λ as the previous constant value.…”

Section: Proposed Cutback Control Modementioning

confidence: 99%

Dedicated Cutback Control of a Wind Power Plant Based on the Ratio of Command Power to Available Power

Thapa¹,

Yoon²,

Lee³

et al. 2014

Journal of Electrical Engineering and Technology

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“…Mechanic output power can be decreased to a new ideal level through valve control [4] . For a certain plant, turning off valves can change the output power to 0 within 0.6-0.7s [5] and steam turbine can turn off all the valves in 0.3s to complete abscission [6] . In conclusion, generator tripping can be finished in 0.3s for thermal plants and 50%-60% of power output can be decreased through rapid valve turning off in 0.3-.04s.…”

Section: A Emergent Active Power Control Of Normal Thermalmentioning

confidence: 99%

An Algorithm of Emergent Power Control among Wind Farms

Zhang¹,

Xing²,

Fu³

et al. 2014

Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering

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Abstract-When emergent active power abscission command is given to wind farm cluster by dispatching center, it is necessary for wind farms to coordinate with each other to optimize power abscission distribution. This paper firstly analyzes active power abscission ways of wind farm, and four kinds of power allocation algorithm models, such as wind power allocation algorithm based on combination of cut wind farms, are proposed based on this. Then, a comprehensive evaluation index is constructed by weighted combination of five indicators, such as distribution deviation and the number of cut wind farms, to evaluate the algorithms. Finally, an actual wind power cluster is employed as an example to verify the validity of proposed algorithms. Distribution results and comprehensive evaluation index values indicate that application scope of different allocation algorithm is different and the algorithm based on the cumulative power abscission of wind farms has smallest comprehensive evaluation index value and widest application scope.Key words-wind farms; emergent power abscission; wind power distribution; cumulative amount of emergent power abscission; comprehensive evaluation index

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“…Reference [7] presents a control system based on NNs to generate a value for the aerodynamic power coefficient, p C . A similar work was presented in [8]. It is in this context that this work gives its contribution, presenting a control strategy using NNs to generate the reference parameters to control the generator: the operating point changes during the normal functioning or, in the case of using turbines of variable speed or in situation of fault occurrence, PI controllers can't supply an enough damping or an acceptable performance.…”

Section: Introductionmentioning

confidence: 97%

Neural networks based power flow control of the doubly fed induction generator

Soares

Goncalves

Martins

et al. 2009

2009 International Conference on Power Engineering, Energy and Electrical Drives

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Abstract-This paper describes the models of wind power system, such as the turbine, the generator, the power electronics converters and the controllers, with the aim to control the generation of wind power in order to maximize the power generated with the lowest possible impact in the voltage and the frequency of the grid during normal operation and under the occurrence of faults. The present work considers a wind power system equipped with the Doubly Fed Induction Generator (DFIG) and a converter connected between the rotor and the grid. This system allows independent control of active and reactive power using neural networks based controllers.

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Automatic generation control of a wind farm with variable speed wind turbines

Cited by 263 publications

References 4 publications

Dedicated Cutback Control of a Wind Power Plant Based on the Ratio of Command Power to Available Power

Dedicated Cutback Control of a Wind Power Plant Based on the Ratio of Command Power to Available Power

An Algorithm of Emergent Power Control among Wind Farms

Neural networks based power flow control of the doubly fed induction generator

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