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Title: Optimized Swinging Door Algorithm for Wind Power Ramp Event Detection: Preprint

Significant wind power ramp events (WPREs) are those that influence the integration of wind power, and they are a concern to the continued reliable operation of the power grid. As wind power penetration has increased in recent years, so has the importance of wind power ramps. In this paper, an optimized swinging door algorithm (SDA) is developed to improve ramp detection performance. Wind power time series data are segmented by the original SDA, and then all significant ramps are detected and merged through a dynamic programming algorithm. An application of the optimized SDA is provided to ascertain the optimal parameter of the original SDA. Measured wind power data from the Electric Reliability Council of Texas (ERCOT) are used to evaluate the proposed optimized SDA.
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Conference: IEEE Power and Energy Society General Meeting, 26-30 July 2015, Denver, Colorado
Research Org:
NREL (National Renewable Energy Laboratory (NREL), Golden, CO (United States))
Sponsoring Org:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
Contributing Orgs:
Wuhan University, Hubei, China
Country of Publication:
United States
17 WIND ENERGY; 24 POWER TRANSMISSION AND DISTRIBUTION dynamic programming; swinging door algorithm; sliding window; wind power ramp events; Electric Reliability Council of Texas; ERCOT; National Renewable Energy Laboratory; NREL