摘要
低压柔性互联将同一区域配电网的低压台区间形成互联互供,可提高配电系统的最大供电能力(total supply capability,TSC),且低压台区接入的分布式能源具有时序性和不确定性,影响TSC值的变动。为此,提出了一种基于时序卷积神经网络(temporal convolutional network,TCN)的低压柔性互联配电网短期TSC评估方法,以兼具快速性和准确性。首先,进行低压柔性互联配电网短期TSC分析,建立基于数据驱动的短期TSC评估架构;然后,采用模型驱动的短期TSC评估方法,得到短期TSC值以获得训练样本,再离线训练TCN模型,得到短期TSC值与具有一定时序性的影响因素间非线性映射的TCN模型,实现由TCN在线评估系统短期TSC。最后,低压柔性互联配电网算例系统测试验证了所提方法的有效性。
Low-voltage flexible interconnection forms interconnection and mutual power supply between low-voltage substation areas in the same regional distribution network,which can improve the total supply capacity(TSC)of the distribution system.Moreover,the distributed energy connected to the low-voltage substation area has temporal and uncertain characteristics,which affect the varia⁃tion of TSC value.Therefore,a short-term TSC evaluation method for low-voltage flexible interconnected distribution networks based on temporal convolutional network(TCN)is proposed,which combines speed and accuracy.Firstly,short-term TSC analysis of low-voltage flexible interconnected distribution networks is conducted and establish a data-driven short-term TSC evaluation architecture is established.Then,a model-driven short-term TSC evaluation method is adopted to obtain short-term TSC values to obtain training samples.The TCN model is then trained offline to obtain a nonlinear mapping between short-term TSC values and influencing factors with certain temporal characteristics.This enables the online evaluation of short-term TSC by the TCN system.Finally,the effectiveness of the proposed method is verified through system testing of low-voltage flexible interconnected distribution networks.
作者
彭寒梅
肖千皓
谭貌
苏永新
李辉
PENG Hanmei;XIAO Qianhao;TAN Mao;SU Yongxin;LI Hui(College of Automation and Electronic information,Xiangtan University,Xiangtan,Hunan 411105,China;Hunan Engineering Research Center of Multi-Energy Cooperative Control Technology,Xiangtan University,Xiangtan,Hunan 411105,China)
出处
《南方电网技术》
北大核心
2025年第10期111-120,共10页
Southern Power System Technology
基金
国家自然科学基金资助项目(51777179)
湖南省自然科学基金项目(2023JJ50241)。
关键词
低压柔性互联
短期最大供电能力
时序卷积网络
模型驱动
数据驱动
low-voltage flexible interconnection
short-term total supply capability
temporal convolutional network
model-driven
data-driven
