An Optimized Swinging Door Algorithm for Identifying Wind Ramping Events

With the increasing penetration of renewable energy in recent years, wind power ramp events (WPREs) have started affecting the economic and reliable operation of power grids. In this paper, we develop an optimized swinging door algorithm (OpSDA) to improve the state of the art in WPREs detection. Th...

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Published inIEEE transactions on sustainable energy Vol. 7; no. 1; pp. 150 - 162
Main Authors Cui, Mingjian, Zhang, Jie, Florita, Anthony R., Hodge, Bri-Mathias, Ke, Deping, Sun, Yuanzhang
Format Journal Article
LanguageEnglish
Published United States IEEE 01.01.2016
Subjects
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ISSN1949-3029
1949-3037
DOI10.1109/TSTE.2015.2477244

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Abstract With the increasing penetration of renewable energy in recent years, wind power ramp events (WPREs) have started affecting the economic and reliable operation of power grids. In this paper, we develop an optimized swinging door algorithm (OpSDA) to improve the state of the art in WPREs detection. The swinging door algorithm (SDA) is utilized to segregate wind power data through a piecewise linear approximation. A dynamic programming algorithm is performed to optimize the segments by: 1)merging adjacent segments with the same ramp changing direction; 2)handling wind power bumps; and 3)postprocessing insignificant-ramps intervals. Measured wind power data from two case studies are utilized to evaluate the performance of the proposed OpSDA. Results show that the OpSDA provides 1)significantly better performance than the SDA and 2)equal-to-better performance compared to the L1-Ramp Detect with Sliding Window (L1-SW) method with significantly less computational time.
AbstractList With the increasing penetration of renewable energy in recent years, wind power ramp events (WPREs) have started affecting the economic and reliable operation of power grids. In this paper, we develop an optimized swinging door algorithm (OpSDA) to improve the state of the art in WPREs detection. The swinging door algorithm (SDA) is utilized to segregate wind power data through a piecewise linear approximation. A dynamic programming algorithm is performed to optimize the segments by: 1)merging adjacent segments with the same ramp changing direction; 2)handling wind power bumps; and 3)postprocessing insignificant-ramps intervals. Measured wind power data from two case studies are utilized to evaluate the performance of the proposed OpSDA. Results show that the OpSDA provides 1)significantly better performance than the SDA and 2)equal-to-better performance compared to the L1-Ramp Detect with Sliding Window (L1-SW) method with significantly less computational time.
Author Florita, Anthony R.
Sun, Yuanzhang
Zhang, Jie
Hodge, Bri-Mathias
Cui, Mingjian
Ke, Deping
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  organization: School of Electrical Engineering, Wuhan University, Wuhan, China
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Keywords wind power ramp events (WPREs)
swinging door algorithm (SDA)
Dynamic programming
sliding window
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Snippet With the increasing penetration of renewable energy in recent years, wind power ramp events (WPREs) have started affecting the economic and reliable operation...
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SubjectTerms Algorithms
Approximation algorithms
Doors
Dynamic programming
Economics
Heuristic algorithms
Optimization
Power measurement
POWER TRANSMISSION AND DISTRIBUTION
Ramps
Renewable energy
Renewable energy sources
Segments
sliding window
swinging door algorithm (SDA)
WIND ENERGY
Wind power
Wind power generation
wind power ramp events (WPREs)
Windows (intervals)
Title An Optimized Swinging Door Algorithm for Identifying Wind Ramping Events
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