A novel aggregated DFIG wind farm model using mechanical torque compensating factor

Chowdhury, M. A.; Shen, Weixiang; Hosseinzadeh, Nasser; Pota, H. R.

doi:10.1016/j.enconman.2012.12.001

Cited by 53 publications

(32 citation statements)

References 16 publications

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“…The amount of power obtained from wind turbines is gradually raising because of the increasinglyinstalled large wind farms around the world [20]. Due to the variable nature of wind, many problems have aroused in managing electrical grids [21]. Accordingly, the grid codes have been revised to meet the requirements of best performance of transmission systems.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The two-variable LARIMA model consists different parts including collector, restrictor, power shift, autocorrelation and cross-correlation. The structure of cross-correlation includes two parts: 1) two-variable Gaussian white noise with covariance matrix, and 2) mutual relationship between two variables of white noise by 21 12 parameters. Autocorrelation is applied to the model by 22 11 …”

Section: Wind Power Time Series' Statistical Analysismentioning

confidence: 99%

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Reactive Power Market-Management Considering Uncertainties of Load and Power of Wind Powerhouses

2017

International Journal of Research Studies in Electrical and Ele

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Section: Literature Reviewmentioning

confidence: 99%

Section: Wind Power Time Series' Statistical Analysismentioning

confidence: 99%

Reactive Power Market-Management Considering Uncertainties of Load and Power of Wind Powerhouses

2017

International Journal of Research Studies in Electrical and Ele

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“…Currently, Dynamic Equivalent method of wind farm mainly includes single-generator equivalent method, semi equivalent method and multi-generator equivalent method [1], [2]. Among the three methods, singlegenerator equivalent method is simple but has the lowest accuracy and multi-generator equivalent method has the highest accuracy but is complicated while semi equivalent method behaves in between of two methods.…”

Section: Introductionmentioning

confidence: 99%

Wind Farm Dynamic Equivalence Based on the Wind Turbine Output Active Power Sequence Clustering

2016

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Abstract. In order to reduce the complexity of simulation model containing wind farms in the context of keeping the accuracy static, this paper put forward a kind of Dynamic Equivalence method aiming at making output characteristic of the connecting point of wind farm consistent. Based on the output power sequence of wind turbines, geometric template matching algorithm is used to obtain the characteristic of that power sequence and then Attribute Threshold Clustering Algorithm is used to classify wind turbine. In each cluster, the parameter of wind turbine is made equal according to the principle of constant power output character and then be distinguished according to AMPSO. At last, this paper takes a practical wind farm as an example and respectively simulates the conditions of fault of system side and variation of wind speed, which is used in comparing the output characteristic of detailed model and Equivalent model. Results show that the output characteristic of the connecting point of wind farm keeps consistent after equivalent and that the Clustering Algorithm can reflect the operating characteristics of the wind turbine in the whole moment of any time period. It can also be saw that Equivalent method is reasonable and effective, which has certain value in engineering application.

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“…Hence power output from wind generator can be controlled by controlling voltage, frequency, real power control, reactive power, fault ride through. A mechanical torque compensation factor (MTCF) technique is developed to find the dynamic response of aggregated wind farm model [5]. MPPT algorithm using optimum torque is used to obtain a maximum power in tall power turbines because of its effortlessness [6]- [10].…”

Section: Introductionmentioning

confidence: 99%

Control Strategy Used in DFIG and PMSG Based Wind Turbines an Overview

Meenakshi¹,

Paramasivam²

2017

IJPEDS

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Nowadays, fossil combustibles are replaced by renewable energy sources. These renewable energies are nontoxic, dirt free, protected and reasonably cheap for the end-users. Renewable energy resources like bio-gas, geothermal, solar, tidal waves and wind have been found as the best alternative energy sources. Among these renewable energy sources, wind energy stands first and foremost for generating electricity.In order to have a constant utilization of wind energy maximum power from wind energy has to be extracted. In this paper, various control strategies prevalent to both the Doubly Fed Induction Generator (DFIG) and Permanent Magnet Synchronous Generator (PMSG) have been analyzed. In addition, control topologies applicable to power electronics converter/inverter used in wind electric generators are discussed.

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A novel aggregated DFIG wind farm model using mechanical torque compensating factor

Cited by 53 publications

References 16 publications

Reactive Power Market-Management Considering Uncertainties of Load and Power of Wind Powerhouses

Reactive Power Market-Management Considering Uncertainties of Load and Power of Wind Powerhouses

Wind Farm Dynamic Equivalence Based on the Wind Turbine Output Active Power Sequence Clustering

Control Strategy Used in DFIG and PMSG Based Wind Turbines an Overview

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