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考虑灵活性分析的典型光伏日出力率曲线提取方法

呼斯乐 于源 王渊 曹林峰 赵禹灿 杨家强

内蒙古电力技术2024,Vol.42Issue(3):20-27,8.
内蒙古电力技术2024,Vol.42Issue(3):20-27,8.DOI:10.19929/j.cnki.nmgdljs.2024.0036

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

呼斯乐 1于源 2王渊 3曹林峰 4赵禹灿 4杨家强4

作者信息

  • 1. 内蒙古电力(集团)有限责任公司,呼和浩特 010010||浙江大学 电气工程学院,杭州 310027
  • 2. 内蒙古电力(集团)有限责任公司,呼和浩特 010010
  • 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
  • 4. 浙江大学 电气工程学院,杭州 310027
  • 折叠

摘要

Abstract

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

Key words

flexibility of the power system/typical PV output curves/K-means clustering/Spearman correlation coefficient/randomized greedy algorithm/grey wolf algorithm

分类

信息技术与安全科学

引用本文复制引用

呼斯乐,于源,王渊,曹林峰,赵禹灿,杨家强..考虑灵活性分析的典型光伏日出力率曲线提取方法[J].内蒙古电力技术,2024,42(3):20-27,8.

基金项目

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) (集团)

内蒙古电力技术

1008-6218

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