电力信息与通信技术2025，Vol.23Issue(9)：49-54,6.DOI:10.16543/j.2095-641x.electric.power.ict.2025.09.07
一种基于贝叶斯需求侧资源属性分类的负荷调控方法
A Load Regulation Method Based on Bayesian Demand Side Resource Attribute Classification
摘要
Abstract
With the rapid construction of a new type of power system,the proportion of new energy connected to the grid is increasing year by year,and the complexity of load regulation is constantly increasing.The original load direct control method is difficult to meet the demand side resource flexible interaction needs.Under the existing regulatory framework,power grid enterprises regulate massive demand side resources through load aggregators and their subordinate edge agents.Aggregators decompose and issue regulatory instructions issued by the power grid,ultimately conveying them to the user level for load regulation.In the existing demand side resource regulation process,only the physical characteristics of user load are considered,and the characteristics of users themselves are not fully considered.Based on the classification attributes of demand side resources,this paper comprehensively considers the reliability,economy,and user influence of the demand side resources that users belong to,and proposes a Bayesian classification load regulation strategy to achieve different regulation goals,thereby improving the flexibility of demand side load regulation.关键词
需求侧调控/用户不确定性/负荷分类/新型电力系统Key words
demand side regulation/user uncertainty/load classification/a new type of power system分类
信息技术与安全科学引用本文复制引用
李彬,林驿轩,翟仪君,王枫桥,张鑫,宫飞翔,陈宋宋,张平..一种基于贝叶斯需求侧资源属性分类的负荷调控方法[J].电力信息与通信技术,2025,23(9):49-54,6.基金项目
国家电网有限公司总部科技项目"需求侧可调节资源池动态构建技术及应用验证"(5108-202218280A-2-389-XG). （5108-202218280A-2-389-XG）
