Wind farm dynamic models assessment under weak grid conditions

2018 ◽  
Vol 12 (12) ◽  
pp. 1325-1334 ◽  
Author(s):  
Mohammed Y. Morgan ◽  
Amgad A. El‐Deib ◽  
Magdy El‐Marsafawy
Keyword(s):  
2011 ◽  
Vol 347-353 ◽  
pp. 2342-2346
Author(s):  
Rong Fu ◽  
Bao Yun Wang ◽  
Wan Peng Sun

With increasing installation capacity and wind farms penetration, wind power plays more important role in power systems, and the modeling of wind farms has become an interesting research topic. In this paper, a coherency-based equivalent model has been discussed for the doubly fed induction generator (DFIG). Firstly, the dynamic models of wind turbines, DFIG and the mechanisms are briefly introduced. Some existing dynamic equivalent methods such as equivalent wind model, variable speed wind turbine model, parameter identification method and modal equivalent method to be used in wind farm aggregation are discussed. Then, considering wind power fluctuations, a new equivalent model of a wind farm equipped with doubly-fed induction generators is proposed to represent the interactions of the wind farm and grid. The method proposed is based on aggregating the coherent group wind turbines into an equivalent one. Finally, the effectiveness of the equivalent model is demonstrated by comparison with the wind farm response obtained from the detailed model. The dynamic simulations show that the present model can greatly reduce the computation time and model complexity.


2020 ◽  
Vol 14 (13) ◽  
pp. 2406-2415
Author(s):  
Cai Yan ◽  
Wei Yao ◽  
Jianfeng Wen ◽  
Jiakun Fang ◽  
Xiaomeng Ai ◽  
...  

Inventions ◽  
2019 ◽  
Vol 4 (4) ◽  
pp. 57 ◽  
Author(s):  
Muhammad Faisal Shehzad ◽  
Muhammad Bakr Abdelghany ◽  
Davide Liuzza ◽  
Valerio Mariani ◽  
Luigi Glielmo

The use of electric power by wind generation in actual grids is hampered by its inherent stochastic nature and the penalty deviations adopted in several electricity regulation markets with respect to power quality requirements. Coupling wind farms with advanced Energy Storage Systems (ESS) can help their integration within grids. In this direction, several studies have been conducted, but the problem is still open due to the constraints and limitations regarding the ESSs time autonomy, time response, degradation issues and overall costs. In order to take into account these relevant aspects, advanced control algorithms are needed. In this paper, a Model-Based Predictive Controller (MPC) is presented. Such a controller minimizes the degradation of the ESS and the load tracking error while fulfilling the operational constraints and dynamics. The ESS considered is hydrogen-based and the study has been developed within the EU-FCH 2 JU (European Union Fuel Cells and Hydrogen 2 Joint Undertaking) funded project HAEOLUS aiming at building and integrating advanced control strategies for a hydrogen-based ESS within a wind farm fence. Numerical simulations show the feasibility and the effectiveness of the proposed approach.


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