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 in | IEEE transactions on sustainable energy Vol. 7; no. 1; pp. 150 - 162 | 
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| Main Authors | , , , , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        United States
          IEEE
    
        01.01.2016
     | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 1949-3029 1949-3037  | 
| DOI | 10.1109/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. | 
    
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| 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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| 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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