Prioritizing Reactive power assignment strategy for doubly fed induction generator of Large-scale Wind Farm

2010 ◽  
Author(s):  
Ning Chen ◽  
Yang Fu ◽  
Lingling Huang
Keyword(s):  
Large Scale ◽  
Wind Farm ◽  
Reactive Power ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Power Assignment ◽  
Assignment Strategy ◽  
Doubly Fed

scholarly journals Optimization Control Strategy for Large Doubly-Fed Induction Generator Wind Farm Based on Grouped Wind Turbine

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4848
Author(s):  
Shijia Zhou ◽  
Fei Rong ◽  
Xiaojie Ning
Keyword(s):  
Control Strategy ◽  
Power Output ◽  
Wind Farm ◽  
Reactive Power ◽  
Optimization Problems ◽  
Active Power ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Optimization Control ◽  
Doubly Fed

This paper proposes a grouped, reactive power optimization control strategy to maximize the active power output of a doubly-fed induction generator (DFIG) based on a large wind farm (WF). Optimization problems are formulated based on established grouped loss models and the reactive power limits of the wind turbines (WTs). The WTs in the WF are grouped to relieve computational burden. The particle swarm optimization (PSO) algorithm is applied to optimize the distribution of reactive power among groups, and a proportional control strategy is used to distribute the reactive power requirements in each group. Furthermore, the proposed control strategy optimizes the reactive power distribution between the stator and the grid side converter (GSC) in each WT. The proposed control strategy greatly reduces the number of variables for optimization, and increases the calculation speed of the algorithm. Thus, the control strategy can not only increase the active power output of the WF but also enable the WF to track the reactive power dispatching instruction of the power grid. A simulation of the DFIG WF is given to verify the effectiveness of the proposed control strategy at different wind speeds and reactive power references.

Research on Intelligent Reactive Power Optimization Method for Distribution Network with DFIG Wind Farm

2013 ◽  
Vol 694-697 ◽  
pp. 2765-2770
Author(s):  
Ling Yun Wang ◽  
Ye Shuang Zheng ◽  
Min Wei Yang
Keyword(s):  
Wind Farm ◽  
Optimization Problem ◽  
Reactive Power ◽  
Power Optimization ◽  
Distribution Network ◽  
Mixed Integer ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Reactive Power Optimization ◽  
Doubly Fed

In order to ensure the voltage stability of distribution network with doubly fed induction generator, it is more significant to determine the reactive power distribution of the grid reasonably except installation of on load tap changing transformer and shunt capacitor bank. However, the reactive power control capability of doubly fed induction generator is not fully implemented in the reactive power optimization of distribution network. In this paper, on the premise of utilizing wind energy maximally, the wind farm with doubly fed induction generator is considered as a continuous reactive power source to participate in the reactive power optimization. Then the constructed reactive power optimization problem is converted to a nonlinear mixed integer optimization problem which is solved by intelligent genetic algorithm. Finally, the IEEE 16 node system is chosen as an example for simulation, the computation results verify the effectiveness of the proposed algorithm.

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