中国电机工程学报2025，Vol.45Issue(z1)：211-221,11.DOI:10.13334/j.0258-8013.pcsee.250215
基于负荷图像匹配的储能电站的资源遴选及优化调度方法研究
Research on Resource Selection and Optimal Scheduling Method of Energy Storage Plant Based on Load Image Matching
摘要
Abstract
Accurately identifying the demand-side interaction capability of a virtual power plant becomes particularly difficult due to the variable operating states of the virtual power plant and the diverse types of distributed resources.In this paper,a load mapping matching resource method is proposed for fine-grained modeling of distributed resource selection in virtual power plants.Firstly,a two-dimensional load mapping map is drawn,and the Gaussian differential convolution algorithm is used to process the image,then the characteristics of the target resources are described and located,then alternative resources with similar load characteristics to the target resources are screened and identified based on the number of key points,and finally the alternative resources are aggregated to analyze the new energy consumption of the alternative resources to optimize the power scheduling of the virtual power plant.关键词
储能电站/负荷映射/特征匹配/新能源消纳/电力调度Key words
energy storage plant/load mapping/feature matching/new energy consumption/power scheduling分类
信息技术与安全科学引用本文复制引用
张雨蒙,李彬,石坤,谢志远,周照钒,罗鑫宇,陈宋宋..基于负荷图像匹配的储能电站的资源遴选及优化调度方法研究[J].中国电机工程学报,2025,45(z1):211-221,11.基金项目
国家电网有限公司科技项目(5108-202218280A-2-389-XG). Science and Technology Project of State Grid Corporation of China(5108-202218280A-2-389-XG). （5108-202218280A-2-389-XG）
