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Title: Characterizing and analyzing ramping events in wind power, solar power, load, and netload

Here, one of the biggest concerns associated with integrating a large amount of renewable energy into the power grid is the ability to handle large ramps in the renewable power output. For the sake of system reliability and economics, it is essential for power system operators to better understand the ramping features of renewable, load, and netload. An optimized swinging door algorithm (OpSDA) is used and extended to accurately and efficiently detect ramping events. For wind power ramps detection, a process of merging 'bumps' (that have a different changing direction) into adjacent ramping segments is included to improve the performance of the OpSDA method. For solar ramps detection, ramping events that occur in both clear-sky and measured (or forecasted) solar power are removed to account for the diurnal pattern of solar generation. Ramping features are extracted and extensively compared between load and netload under different renewable penetration levels (9.77%, 15.85%, and 51.38%). Comparison results show that (i) netload ramp events with shorter durations and smaller magnitudes occur more frequently when renewable penetration level increases, and the total number of ramping events also increases; and (ii) different ramping characteristics are observed in load and netload even with a low renewable penetrationmore » level.« less
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  1. Univ. of Texas at Dallas, Richardson, TX (United States)
  2. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  3. Wuhan Univ., Wuhan (China)
Publication Date:
Report Number(s):
Journal ID: ISSN 0960-1481
Grant/Contract Number:
AC36-08GO28308; 2012CB215101
Accepted Manuscript
Journal Name:
Renewable Energy
Additional Journal Information:
Journal Volume: 111; Journal Issue: C; Journal ID: ISSN 0960-1481
Research Org:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
Country of Publication:
United States
24 POWER TRANSMISSION AND DISTRIBUTION; dynamic programming; load; netload; optimized swinging door algorithm; solar power; wind power
OSTI Identifier:
Alternate Identifier(s):
OSTI ID: 1396912