Kun Zhang
ABSTRACT
The active power control system forthe wind farm is the foundation for guaranteeing the safety and stabilization during power grid operation. In this study, a coordinatively optimized active powercontrol strategy for wind farms is designedby means of neural network algorithms. With this strategy, the accuracy of AGC control for active power at grid connection points in wind farms can be effectively improved, and the relationship between AGC control and active power change control can be coordinated. In such a case, the rapid response performance of AGC control can be assured while timely meeting the requirements for active power changes. This designed control strategy has been experimentally applied in a wind farm in Shaoyang, Hunan Province, and the on-site test results have verified the correctness and effectiveness of the strategy.
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