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

作　　者：呼斯乐 于源 王渊 曹林峰 赵禹灿 杨家强[2] Husile;YU Yuan;WANG Yuan;CAO Linfeng;ZHAO Yucan;YANG Jiaqiang(Inner Mongolia Power(Group)Co.,Ltd.,Hohhot 010010,China;College of Electrical Engineering,Zhejiang University,Hangzhou 310027,China;Inner Mongolia Power(Group)Co.,Ltd.,Inner Mongolia Electric Power Economic and Technical Research Institute Branch,Hohhot 010010,China)

机构地区：[1]内蒙古电力(集团)有限责任公司,呼和浩特010010 [2]浙江大学电气工程学院,杭州310027 [3]内蒙古电力(集团)有限责任公司内蒙古电力经济技术研究院分公司,呼和浩特010010

出　　处：《内蒙古电力技术》2024年第3期20-27,共8页Inner Mongolia Electric Power

基　　金：内蒙古电力(集团)有限责任公司科技项目“电力系统灵活调节资源优化配置方法及智能决策系统研究”(2022-07)。

摘　　要：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.

关 键 词：电力系统灵活性 典型光伏日出力率曲线 K-MEANS聚类 斯皮尔曼相关系数 随机贪心算法 灰狼算法 

分 类 号：TM615[电气工程—电力系统及自动化]