Dynamic Equivalent Model of Wind Power Plant Using an Aggregation Technique

2015 ◽  
Vol 30 (4) ◽  
pp. 1639-1649 ◽  
Author(s):  
Dong-Eok Kim ◽  
Mohamed A. El-Sharkawi
Keyword(s):  
Power Plant ◽  
Wind Power ◽  
Equivalent Model ◽  
Wind Power Plant ◽  
Dynamic Equivalent ◽  
Aggregation Technique

Dynamic equivalent modeling approach of wind power plant with PMSG-WTGs

2017 ◽  
Author(s):  
Lin Ye ◽  
Risheng Rao ◽  
Yali Zhang ◽  
Wuzhi Zhong ◽  
Yanxiang Yao ◽  
...  
Keyword(s):  
Power Plant ◽  
Wind Power ◽  
Wind Power Plant ◽  
Modeling Approach ◽  
Dynamic Equivalent

Parameter Estimation of Wind Power Plant Equivalent Model through a Hybrid Method

2020 ◽  
Author(s):  
Gabriel J. N. Gomes ◽  
Elmer P. T. Cari
Keyword(s):  
Power Plant ◽  
Wind Power ◽  
Hybrid Method ◽  
Measurement Data ◽  
Estimation Method ◽  
Optimization Method ◽  
Population Based ◽  
Equivalent Model ◽  
Generic Model ◽  
Wind Power Plant

Reliable models are vital for dynamic simmulations made by electric system operators. Generic models can be adjusted to match certain equipment criteria and provide accurate responses to different faults and disturbances. This paper adresses that issue by proposing a hybrid estimation method to estimate parameters of a wind power plant generic model. At first, the parameters are estimated through the Mean-Variance Mapping Optimization method, a population-based metaheuristic. When the parameters are close enough to their real values, Trajectory Sensitivity method is applied to improve the results and optimize solution. Combining both methods results in a fast and robust estimation approach. The proposed hybrid method was executed using measurement data acquired from PowerFactory and the results show the adequacy of this application.

scholarly journals Aggregation of Type-4 Large Wind Farms Based on Admittance Model Order Reduction

Energies ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1730 ◽  
Author(s):  
Jaime Martínez-Turégano ◽  
Salvador Añó-Villalba ◽  
Soledad Bernal-Perez ◽  
Ramon Blasco-Gimenez
Keyword(s):  
Power Plant ◽  
Wind Power ◽  
Model Order Reduction ◽  
Order Reduction ◽  
Resonant Peak ◽  
Wind Power Plant ◽  
Model Order ◽  
Detailed Model ◽  
Aggregation Techniques ◽  
Aggregation Technique

This paper presents an aggregation technique based on the resolution of a multi-objective optimization problem applied to the admittance model of a wind power plant (WPP). The purpose of the presented aggregation technique is to reduce the order of the wind power plant model in order to accelerate WPP simulation while keeping a very similar control performance for both the simplified and the detailed models. The proposed aggregation technique, based on the admittance model order reduction, ensures the same DC gain, the same gain at the operating band frequency, and the same resonant peak frequency as the detailed admittance model. The proposed aggregation method is validated considering three 400-MW grid-forming Type-4 WPPs connected to a diode rectifier HVDC link. The proposed aggregation technique is compared to two existing aggregation techniques, both in terms of frequency and time response. The detailed and aggregated models have been tested using PSCAD-EMTsimulations, with the proposed aggregated model leading to a 350-fold reduction of the simulation time with respect to the detailed model. Moreover, for the considered scenario, the proposed aggregation technique offers simulation errors that are, at least, three-times smaller than previously-published aggregation techniques.

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