基于差值思想的母线分布式光伏辨识方法

史昕; 姚建国; 李亚平; 王珂; 胡晓静; 冯恒

doi:10.7500/AEPS20190703005

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基于差值思想的母线分布式光伏辨识方法

学术研究 | 更新时间：2025-06-16

- 基于差值思想的母线分布式光伏辨识方法
- Difference Based Identification Method of Distributed Photovoltaic on Bus
- 电力系统自动化-方正平台 2020年44卷第18期页码：81-89
- 作者机构：
  
  1.中国电力科学研究院有限公司（南京），江苏省南京市 210003
  2.国网大数据中心，北京市 100031
  3.中国电力科学研究院有限公司，北京市 100192
- 作者简介：
  
  史昕(1991—)，女，博士研究生，主要研究方向：非侵入式负荷监测。E-mail：wooden_snoopy@163.com
  姚建国(1963—)，男，通信作者，教授级高级工程师，主要研究方向：电力系统自动化、电网智能调度。E-mail：yaojianguo@epri.sgcc.com.cn
  李亚平(1981—)，女，博士，高级工程师，主要研究方向：电力系统仿真与分析、智能电网互动运行控制。E-mail：liyaping@epri.sgcc.com.cn
- 基金信息：
  
  国家自然科学基金资助项目(51807181);国家电网公司科技项目(SGJSDK00KJJS1800313)
- DOI：10.7500/AEPS20190703005
  中图分类号：
- 收稿日期：2019-07-03，
  
  修回日期：2019-10-16，
  
  网络出版日期：2020-09-07，
  
  纸质出版日期：2020-09-25
- 稿件说明：
移动端阅览
史昕,姚建国,李亚平等.基于差值思想的母线分布式光伏辨识方法[J].电力系统自动化,2020,44(18):81-89.

SHI Xin,YAO Jianguo,LI Yaping,et al.Difference Based Identification Method of Distributed Photovoltaic on Bus[J].Automation of Electric Power Systems,2020,44(18):81-89.
史昕,姚建国,李亚平等.基于差值思想的母线分布式光伏辨识方法[J].电力系统自动化,2020,44(18):81-89. DOI： 10.7500/AEPS20190703005.

SHI Xin,YAO Jianguo,LI Yaping,et al.Difference Based Identification Method of Distributed Photovoltaic on Bus[J].Automation of Electric Power Systems,2020,44(18):81-89. DOI： 10.7500/AEPS20190703005.

摘要

利用不同自然日负荷间的相似性与差异性，提出一种基于负荷曲线间差值的母线分布式光伏无监督辨识方法。首先，采用模糊C-均值算法，根据外部环境因素将各自然日分为不同集合及子集。然后，求取子集间的平均集中式光伏出力差值曲线和平均净负荷差值曲线，利用相关性分析和集合经验模态分解进行差值曲线的筛选和滤波。最后，利用两差值曲线幅值之比和光伏模型求解母线分布式光伏安装情况及各时段出力，算例结果验证了所提方法的有效性。

Abstract

Based on the similarity and difference of various daily loads

this paper proposes an unsupervised identification method of distributed photovoltaic (PV) for bus based on the difference between load curves. Firstly

the natural days are divided into different sets and subsets based on the fuzzy C-means clustering algorithm according to the external environmental conditions. The difference curves of average centralized PV and average net load between subsets are obtained

and the difference curves are selected and filtered according to correlation analysis and ensemble empirical mode decomposition. Finally

the installation and the outputs of distributed PV in different periods are calculated by using the ratio of the amplitudes of two difference curves and the PV model. Example results show the effectiveness of the proposed method.

关键词

Keywords

references

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