考虑多断面源荷特征匹配的高比例分布式光伏接入配电网的集群划分方法
作者信息
+
华南理工大学电力学院,广州 510640
|
彭琦(2000),女,硕士研究生,研究方向为配电网规划与运行。pqff14@163.com;
|
|
欧阳森(1974),男,通信作者,副研究员,博士,研究方向为电力系统规划与运行,ouyangs@scut.edu.cn;
|
|
张晋铭(1999),男,硕士研究生,研究方向为配电网能效评估、电能质量分析与控制,736818573@qq.com。
|
收起
Cluster Partitioning Method for High Proportion Distributed Photovoltaic Access Distribution Network Considering Multi-Section Source-Load Features Matching
Author information
+
School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China
Show less
文章历史
+
| 收稿日期 |
出版日期 |
| 2023-11-02 |
2025-04-20 |
PDF (2180K)
摘要
为方便配电网的运行调控并降低配电网系统的线损率以提高其传输效率,提出了考虑多断面源荷特征匹配度的高比例分布式光伏接入配电网的集群划分方法。首先,综合讨论接入配电网的分布式光伏出力曲线与各区域负荷特性曲线,设计多断面源荷特征匹配度指标,以便使同一集群内光伏可被最大化利用,并综合设计考虑集群结构与电气距离的模块度指标,以及考虑集群功能的容量匹配指标和无功功率补偿指标,构建实现配电网集群划分的综合指标体系。然后,采用优化算法对配电网进行集群划分,增加基于网络邻接矩阵的约束,以避免集群划分中存在孤立节点。最后,以IEEE 33节点系统为例进行集群划分与集群划分后的光伏出力优化,结果表明所提的考虑多断面源荷特征匹配度的集群划分具有较好的源荷特征匹配性、较强的电气耦合性、较好的有功功率和无功功率平衡度。同时相比于未考虑集群划分的情况,对配电网集群划分后进行光伏出力优化可使配电网系统线损率降低,从而提高配电网传输效率。
Abstract
In order to facilitate the operation regulation of distribution network and reduce the line loss rate of distribution network system to improve its transmission efficiency, a cluster division method of high-proportion distributed photovoltaic(PV)access to distribution network considering the matching degree of multi-section source-load features is proposed. Firstly, the distributed PV output curve connected to the distribution network and the load characteristic curve of each region are comprehensively discussed, and the matching degree index of multi-section source-load features is designed to maximize the utilization of PV in the same cluster. Moreover, the modular degree index considering the cluster structure and electrical distance, as well as the capacity matching index and reactive power compensation index considering the cluster function are comprehensively designed. The comprehensive index system is constructed to realize the division of distribution network cluster. Then, when the optimization algorithm is used to divide the distribution network cluster, the constraints based on the network adjacency matrix are added to avoid the existence of isolated nodes. Finally, taking the IEEE 33-node system as an example, the cluster division and the PV output optimization after the cluster division are carried out. The results show that the proposed cluster division considering the multi-section source-load features matching has better source-load features matching, stronger electrical coupling, and better active and reactive power balance. Compared with the case without considering the cluster division, the photovoltaic power output optimization after the distribution network cluster division can reduce the line loss rate of the distribution network system, thus improving the transmission efficiency of the distribution network.
Graphical abstract
关键词
分布式光伏
/
无功功率补偿
/
容量匹配度
/
模块度
/
源荷特征匹配度
/
集群划分
Key words
distributed photovoltaic
/
reactive power compensation
/
capacity matching degree
/
module degree
/
source-load feature matching degree
/
cluster division
[Author(id=1200813082621002602, tenantId=1150419971270848770, journalId=1150420108982431745, articleId=1200813070663041601, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=pqff14@163.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1200813082713277298, tenantId=1150419971270848770, journalId=1150420108982431745, articleId=1200813070663041601, authorId=1200813082621002602, language=EN, stringName=Qi PENG, firstName=Qi, middleName=null, lastName=PENG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1200813082776191865, tenantId=1150419971270848770, journalId=1150420108982431745, articleId=1200813070663041601, authorId=1200813082621002602, language=CN, stringName=彭琦, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=华南理工大学电力学院,广州 510640, bio={"content":"彭琦(2000),女,硕士研究生,研究方向为配电网规划与运行。pqff14@163.com;
"}, bioImg=null, bioContent=彭琦(2000),女,硕士研究生,研究方向为配电网规划与运行。pqff14@163.com;
, aboutCorrespAuthor=null)}, companyList=[AuthorCompany(id=1200813082579059556, tenantId=1150419971270848770, journalId=1150420108982431745, articleId=1200813070663041601, xref=null, ext=[AuthorCompanyExt(id=1200813082583253861, tenantId=1150419971270848770, journalId=1150420108982431745, articleId=1200813070663041601, companyId=1200813082579059556, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China), AuthorCompanyExt(id=1200813082587448166, tenantId=1150419971270848770, journalId=1150420108982431745, articleId=1200813070663041601, companyId=1200813082579059556, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=华南理工大学电力学院,广州 510640)])]), Author(id=1200813082830717822, tenantId=1150419971270848770, journalId=1150420108982431745, articleId=1200813070663041601, orderNo=1, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=ouyangs@scut.edu.cn, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1200813082922992515, tenantId=1150419971270848770, journalId=1150420108982431745, articleId=1200813070663041601, authorId=1200813082830717822, language=EN, stringName=Sen OUYANG, firstName=Sen, middleName=null, lastName=OUYANG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1200813083128513419, tenantId=1150419971270848770, journalId=1150420108982431745, articleId=1200813070663041601, authorId=1200813082830717822, language=CN, stringName=欧阳森, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=华南理工大学电力学院,广州 510640, bio={"content":"欧阳森(1974),男,通信作者,副研究员,博士,研究方向为电力系统规划与运行,ouyangs@scut.edu.cn;
"}, bioImg=null, bioContent=欧阳森(1974),男,通信作者,副研究员,博士,研究方向为电力系统规划与运行,ouyangs@scut.edu.cn;
, aboutCorrespAuthor=null)}, companyList=[AuthorCompany(id=1200813082579059556, tenantId=1150419971270848770, journalId=1150420108982431745, articleId=1200813070663041601, xref=null, ext=[AuthorCompanyExt(id=1200813082583253861, tenantId=1150419971270848770, journalId=1150420108982431745, articleId=1200813070663041601, companyId=1200813082579059556, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China), AuthorCompanyExt(id=1200813082587448166, tenantId=1150419971270848770, journalId=1150420108982431745, articleId=1200813070663041601, companyId=1200813082579059556, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=华南理工大学电力学院,广州 510640)])]), Author(id=1200813083191427984, tenantId=1150419971270848770, journalId=1150420108982431745, articleId=1200813070663041601, orderNo=2, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=736818573@qq.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1200813083292091293, tenantId=1150419971270848770, journalId=1150420108982431745, articleId=1200813070663041601, authorId=1200813083191427984, language=EN, stringName=Jinming ZHANG, firstName=Jinming, middleName=null, lastName=ZHANG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1200813083409531808, tenantId=1150419971270848770, journalId=1150420108982431745, articleId=1200813070663041601, authorId=1200813083191427984, language=CN, stringName=张晋铭, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=华南理工大学电力学院,广州 510640, bio={"content":"张晋铭(1999),男,硕士研究生,研究方向为配电网能效评估、电能质量分析与控制,736818573@qq.com。
"}, bioImg=null, bioContent=张晋铭(1999),男,硕士研究生,研究方向为配电网能效评估、电能质量分析与控制,736818573@qq.com。
, aboutCorrespAuthor=null)}, companyList=[AuthorCompany(id=1200813082579059556, tenantId=1150419971270848770, journalId=1150420108982431745, articleId=1200813070663041601, xref=null, ext=[AuthorCompanyExt(id=1200813082583253861, tenantId=1150419971270848770, journalId=1150420108982431745, articleId=1200813070663041601, companyId=1200813082579059556, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China), AuthorCompanyExt(id=1200813082587448166, tenantId=1150419971270848770, journalId=1150420108982431745, articleId=1200813070663041601, companyId=1200813082579059556, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=华南理工大学电力学院,广州 510640)])]), Author(id=1200813083451474853, tenantId=1150419971270848770, journalId=1150420108982431745, articleId=1200813070663041601, orderNo=3, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=null, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1200813083518583725, tenantId=1150419971270848770, journalId=1150420108982431745, articleId=1200813070663041601, authorId=1200813083451474853, language=EN, stringName=Yunxiang XIE, firstName=Yunxiang, middleName=null, lastName=XIE, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1200813083610858420, tenantId=1150419971270848770, journalId=1150420108982431745, articleId=1200813070663041601, authorId=1200813083451474853, language=CN, stringName=谢运祥, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=华南理工大学电力学院,广州 510640, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null)}, companyList=[AuthorCompany(id=1200813082579059556, tenantId=1150419971270848770, journalId=1150420108982431745, articleId=1200813070663041601, xref=null, ext=[AuthorCompanyExt(id=1200813082583253861, tenantId=1150419971270848770, journalId=1150420108982431745, articleId=1200813070663041601, companyId=1200813082579059556, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China), AuthorCompanyExt(id=1200813082587448166, tenantId=1150419971270848770, journalId=1150420108982431745, articleId=1200813070663041601, companyId=1200813082579059556, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=华南理工大学电力学院,广州 510640)])])]
彭琦,欧阳森,张晋铭,谢运祥.
考虑多断面源荷特征匹配的高比例分布式光伏接入配电网的集群划分方法[J].
南方电网技术, 2025, 19(4): 161-172 DOI:10.13648/j.cnki.issn1674-0629.2025.04.013
基金资助
国家自然科学基金资助项目(52177085)