Rigorous analyses of a power distribution system with distribution transformer banks serving unbalanced loads and wind turbine generator systems

2016 ◽  
Vol 29 (5) ◽  
pp. 998-1014 ◽  
Author(s):  
Tsai-Hsiang Chen ◽  
Rih-Neng Liao
Keyword(s):  
Wind Turbine ◽  
Power Distribution ◽  
Distribution System ◽  
Distribution Transformer ◽  
Turbine Generator ◽  
Power Distribution System ◽  
Wind Turbine Generator ◽  
Unbalanced Loads

scholarly journals Receding Horizon Optimization of Wind Farm Active Power Distribution with Power Tracking Error and Transmission Loss

Processes ◽  
2018 ◽  
Vol 6 (12) ◽  
pp. 259 ◽  
Author(s):  
Jingchun Chu ◽  
Ling Yuan ◽  
Zhongwei Lin ◽  
Wei Xu ◽  
Zhenyu Chen
Keyword(s):  
Wind Turbine ◽  
Power Distribution ◽  
Wind Farm ◽  
Transmission Loss ◽  
Tracking Error ◽  
Active Power ◽  
Receding Horizon ◽  
Turbine Generator ◽  
Set Point ◽  
Wind Turbine Generator

In this paper, a receding-horizon optimization strategy is introduced to optimize the wind farm active power distribution with power tracking error and transmission loss. Based on the wind farm transmission connections, a wind farm can be divided into clusters, in which the wind turbine generator systems connected to one booster station can be taken as one cluster, and different clusters connected from booster stations to the farm-level main transformer output the electric power to the grid. Thus, in the proposed strategy, the power tracking characteristic of the wind turbine generator system is modeled as a first-order system to quantify the power tracking error during the power tracking dynamic process, where the power transmission losses from wind turbine generator systems to booster stations are also modeled and considered in the optimization. The proposed strategy is applied to distribute the active power set-point within a cluster while the clusters’ set-point still follows the conventional strategy of the wind farm. Simulation results show significant improvement for both optimization targets of the proposed strategy.

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