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文章摘要
基于多维序列分析的低压光伏台区窃电检测方法
Detection method of energy theft in low-voltage photovoltaic transformer district based on multi-dimensional series analysis
Received:March 17, 2024
Revised:April 16, 2024
DOI：
10.19753/j.issn1001-1390.2024.09.029
中文关键词
:
窃电检测
低压光伏台区
线损率
高斯过程回归
蒙特卡洛模拟
OPTICS聚类
英文关键词
:
energy theft detection, low-voltage photovoltaic transformer district, line loss rate, Gaussian process regression, Monte Carlo simulation, OPTICS clustering
基金项目
:
国家电网有限公司总部科技项目（5700-202255222A-1-1-ZN）
Author Name
Affiliation
E-mail
SHENG Jinhao
Beijing Information Science and Technology University
s25070000@163.com
ZHANG Penghe
China Electric Power Research Institute
zhangpenghe@epri.sgcc.com.cn
YANG Yining
China Electric Power Research Institute
yangyn@epri.sgcc.com.cn
ZHAO Bo
*
Beijing Information Science and Technology University
20182107@bistu.edu.cn
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中文摘要
:
低压配电台区是窃电行为的主要发生区域之一，分布式光伏接入使得台区由传统单电源结构变为多电源结构，线损特征改变，窃电检测难度进一步提升。面向低压光伏台区，提出了一种基于多维序列分析的窃电检测方法。首先提取多维线损率影响因素，基于高斯过程回归进行非线性拟合并通过交叉验证确定窃电嫌疑时段；然后借助电量、电压等多维序列信息计算各用户的理论线损贡献因子，结合相关性分析和蒙特卡洛模拟捕捉电量线损耦合关系；进而基于OPTICS聚类定位嫌疑度离群用户，即窃电用户；最后通过仿真台区算例分析验证了所提方法的有效性。
英文摘要
:
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