Modeling load distribution for rural photovoltaic grid areas using image recognition  

作　　者：Ning Zhou Bowen Shang Jinshuai Zhang Mingming Xu 

机构地区：[1]State Grid Henan Electric Power Research Institutte,Zhengzhou 450052,P.R.China

出　　处：《Global Energy Interconnection》2024年第3期270-283,共14页全球能源互联网（英文版）

基　　金：supported by the State Grid Science&Technology Project of China(5400-202224153A-1-1-ZN).

摘　　要：Expanding photovoltaic(PV)resources in rural-grid areas is an essential means to augment the share of solar energy in the energy landscape,aligning with the“carbon peaking and carbon neutrality”objectives.However,rural power grids often lack digitalization;thus,the load distribution within these areas is not fully known.This hinders the calculation of the available PV capacity and deduction of node voltages.This study proposes a load-distribution modeling approach based on remote-sensing image recognition in pursuit of a scientific framework for developing distributed PV resources in rural grid areas.First,houses in remote-sensing images are accurately recognized using deep-learning techniques based on the YOLOv5 model.The distribution of the houses is then used to estimate the load distribution in the grid area.Next,equally spaced and clustered distribution models are used to adaptively determine the location of the nodes and load power in the distribution lines.Finally,by calculating the connectivity matrix of the nodes,a minimum spanning tree is extracted,the topology of the network is constructed,and the node parameters of the load-distribution model are calculated.The proposed scheme is implemented in a software package and its efficacy is demonstrated by analyzing typical remote-sensing images of rural grid areas.The results underscore the ability of the proposed approach to effectively discern the distribution-line structure and compute the node parameters,thereby offering vital support for determining PV access capability.

关 键 词：Deep learning Remote sensing image recognition Photovoltaic development Load distribution modeling Power flow calculation 

分 类 号：TM615[电气工程—电力系统及自动化] TP391.41[自动化与计算机技术—计算机应用技术]