研究目的
To accurately calculate the penetration capacity of solar power in the power grid to arrange the construction of power grid in a reasonable way, considering the timing correlation between source and load.
研究成果
The improved clustering method considering the timing correlation between source and load can distinguish sunny and cloudy days accurately, and match the load fluctuation better. The risk rating method provides a basis for regional photovoltaic construction planning of actual power grid.
研究不足
The paper does not explicitly mention the limitations of the research.
1：Experimental Design and Method Selection:
An improved clustering method considering the timing correlation between source and load is proposed to distinguish typical photovoltaic output scenes. A risk rating method based on SA-PSO algorithm is designed to evaluate the risk level for the photovoltaic penetration.
2：Sample Selection and Data Sources:
The data of the whole year is divided into four dimensions: spring, summer, autumn and winter. The daily load data matrix of one season is used.
3：List of Experimental Equipment and Materials:
Not explicitly mentioned.
4：Experimental Procedures and Operational Workflow:
The methodology involves selecting typical load curves, screening photovoltaic output curves, calculating the maximum penetration capacity using the SA-PSO algorithm, and evaluating the risk level for the photovoltaic penetration.
5：Data Analysis Methods:
The improved clustering method and SA-PSO algorithm are used for data analysis.
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