  This paper proposes a novel wind power smoothing control paradigm in context
of performance-based regulation service. Conventional methods aim at adjusting
wind power output using hard-coded filtering algorithms that can result in
visually smoothed power output with unmeasurable impacts on system
generation-demand balance. Distinguished from conventional methods, the newly
proposed control method smooths wind power output from a power system
perspective by using the regulation mileage as a key performance indicator. To
simultaneously address the system needs and maximize wind energy harvesting, a
mileage-responsive framework is developed to enable wind farms to optimally
generate smoothing power. The effectiveness of the proposed method is well
demonstrated through case studies, of which the simulation results shows a
great potential for practical applications.
