研究目的
To develop an optimized swinging door algorithm (OpSDA) for detecting solar power ramp events (SPREs) to enhance the integration of solar power into power systems.
研究成果
The OpSDA successfully identified SPREs and performed significantly better than the SDA. The OpSDA provided equal-to-better performance than the L1-SW method with much less computational time. The developed OpSDA was also used as a baseline to determine the optimal values of the tunable parameter in the SDA.
研究不足
The paper does not explicitly mention the limitations of the research.
1：Experimental Design and Method Selection:
The swinging door algorithm (SDA) is utilized to segregate solar power data into piecewise segments, and then all these piecewise segments are merged and optimized through a dynamic programming process.
2：Sample Selection and Data Sources:
Measured solar power data from Tucson Electric Power is used.
3：List of Experimental Equipment and Materials:
Not explicitly mentioned.
4：Experimental Procedures and Operational Workflow:
The solar power signal is divided into a number of overlapping windows in which a ramp score function is defined to perform the recursion of the dynamic programming algorithm and remove ramps that also occur in clear-sky power generation.
5：Data Analysis Methods:
The performance of the proposed methodology is assessed using statistical results.
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