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.
- Research Organization:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
- Contributing Organization:
- Wuhan University, Hubei, China
- OSTI ID:
- 1215164
- Report Number(s):
- NREL/CP-5D00-63877
- Resource Relation:
- Conference: IEEE Power and Energy Society General Meeting, 26-30 July 2015, Denver, Colorado
- Country of Publication:
- United States
- Language:
- English
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