Open AccessScalable minimum fatigue control of dispatchable wind farms
Author(s) -
Madjidian Daria
Publication year - 2016
Publication title -
wind energy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.743
H-Index - 92
eISSN - 1099-1824
pISSN - 1095-4244
DOI - 10.1002/we.1960
Subject(s) - dispatchable generation , control (management) , scalability , marine engineering , computer science , structural engineering , environmental science , engineering , electrical engineering , artificial intelligence , distributed generation , database , renewable energy
As wind energy penetration increases, wind power plants may be required to regulate their power production according to the load‐balancing needs of the power system. This presents an opportunity: when a wind farm tracks a power set‐point, its wind turbines are free to continuously vary their power production as long as the sum of their productions meets the power demand. Here, we present an intuitive wind turbine coordination policy that uses this flexibility to minimize the aggregate fatigue load on the turbines. An important property is that the policy is scalable enough to be applied to any wind farm size. Specifically, the computational effort required to compute and reconfigure the optimal coordination policy is the same as that of a single stand‐alone turbine, and the only centralized information processing needed to implement it is a single averaging operation. The efficiency of the coordination policy is illustrated in a simulation study based on real wind farm data. Copyright © 2016 John Wiley & Sons, Ltd.