考虑灵活性分析的典型光伏日出力率曲线提取方法

Method for Extracting Typical PV Daily Output Curves Considering Flexibility Analysis

为了在电力系统灵活性分析过程中,提取对系统灵活性影响较大的典型光伏日出力率曲线,提出一种考虑灵活性分析的典型光伏日出力率曲线提取方法,确定对灵活性影响较大的光伏日发电曲线范围,利用斯皮尔曼相关系数和随机贪心算法改进K-means聚类算法,对光伏日出力率曲线进行聚类,利用灰狼算法提取典型光伏日出力率曲线。算例分析以蒙西电网2019—2022年光伏日出力数据为研究对象,结果表明,利用所提方法提取的典型光伏日出力率曲线,能够有效反映光伏发电对系统灵活性的影响。

In the process of analyzing the flexibility of the power system,it is necessary to extract typical photovoltaic(PV)daily output curves that have a significant impact on the system flexibility.This paper proposes a method for extracting typical PV daily output curves considering flexibility analysis.The method determines the range of PV daily generation curves that have a significant impact on flexibility,improves the K-means clustering algorithm using Spearman correlation coefficient and random greedy algorithm,clusters the PV daily output rate curves,and extracts typical PV daily output rate curves using the grey wolf algorithm.A case study is conducted using the PV output data from the Inner Mongolia west power grid from 2019 to 2022.The results show that the typical PV daily output rate curves extracted using the proposed method can effectively reflect the impact of PV power generation on system flexibility.