摘要
为推动“双碳”目标落地,我国将加快推动县域分布式光伏开发。文中首先借助高分辨率的遥感信息技术获取一定精度的县域建筑物屋顶图像;然后基于Sobel算子边缘检测、阈值分割等图像处理技术剔除图像中的非建筑信息,提取边缘轮廓,获得建筑物的屋顶面积,进而预估光伏容量;其次,以包含线路改造、变压器扩建、储能、分布式光伏投资运行成本在内的配电网综合成本最小为目标,计及光伏开发潜力约束,建立源网荷储的双层规划模型,并利用量子粒子群算法实现模型快速求解;最后,以某县域配电网为例,验证了计及县域屋顶光伏开发潜力评估的源网荷储协同规划技术的实用性,提高了规划方案的经济性与合理性。
In order to promote the“double carbon”target,China will accelerate the development of distributed PV in counties.In this paper,we firstly obtain certain precision images of roofs of county buildings with the help of high-resolution remote sensing information technology.Then we extract edge contours based on image processing techniques such as Sobel operator edge detection and threshold segmentation to eliminate non-building information in the images,and obtain the roof area of buildings,and immediately after estimate PV capacity.Secondly,with the objective of minimizing the comprehensive cost of distribution network including line renovation,transformer expansion,energy storage and distributed PV investment and operation cost,and taking into account the PV development potential constraint,a two-layer planning model of source-grid-load-storage is established,and the model is solved rapidly by quantum particle swarm algorithm.Finally,the practicality of the source-grid-load-storage planning technique,which takes into account the potential assessment of PV development in a county distribution network,is verified to improve the economy and rationality of the planning scheme.
作者
马君亮
王智冬
张述铭
MA Junliang;WANG Zhidong;ZHANG Shuming(Electrical Engineering College,Northeast Electric Power University,Jilin Jilin 132012;State Grid Economic and Technological Research Institute Co.Ltd.,Beijing 102209;State Key Lab of Control and Simulation of Power Systems and Generation Equipments(Department of Electrical Engineering,Tsinghua University),Beijing 100084)
出处
《东北电力大学学报》
2023年第3期82-90,共9页
Journal of Northeast Electric Power University
基金
国网公司总部科技项目(SGJY0000SDJS2000905)。
关键词
县域屋顶光伏
潜力评估
边缘检测
协同规划
County rooftop photovoltaic
Potential assessment
Edge detection
Cooperative planning
