Mileage-responsive Wind Power Smoothing

TL;DR

This paper introduces a novel wind power smoothing control method that uses regulation mileage as a key performance indicator, optimizing wind energy output while maintaining system balance.

Contribution

It presents a mileage-responsive control framework that improves wind power smoothing by considering system performance metrics, unlike traditional filtering approaches.

Findings

Demonstrated improved smoothing performance through case studies.

Showed potential for practical application in power system regulation.

Enhanced wind energy harvesting efficiency.

Abstract

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.