Mileage-responsive Wind Power Smoothing
For wind farm operators and grid operators, this method addresses the limitation of conventional smoothing that ignores system-level impacts, offering a more balanced approach to power smoothing.
The paper proposes a mileage-responsive wind power smoothing method that uses regulation mileage as a key performance indicator to improve system generation-demand balance while maximizing wind energy harvesting. Case studies demonstrate the method's effectiveness and practical potential.
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.