Abstract
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.
| Original language | American English |
|---|---|
| Number of pages | 7 |
| State | Published - 2015 |
| Event | IEEE Power and Energy Society General Meeting - Denver, Colorado Duration: 26 Jul 2015 → 30 Jul 2015 |
Conference
| Conference | IEEE Power and Energy Society General Meeting |
|---|---|
| City | Denver, Colorado |
| Period | 26/07/15 → 30/07/15 |
NREL Publication Number
- NREL/CP-5D00-63877
Keywords
- dynamic programming
- Electric Reliability Council of Texas
- Electric Reliability Council of Texas
- Electric Reliability Council of Texas
- ERCOT
- National Renewable Energy Laboratory (NREL)
- NREL
- sliding window
- swinging door algorithm
- wind power ramp events