协同过滤群体融合的电网全景信息共享及参数匹配研究  

Research on power grid panoramic information sharing and parameter matching based on collaborative filtering group fusion

作　　者：袁翔 苏洁 俞楚天 庄峥宇 黄立 YUAN Xiang;SU Jie;YU Chutian;ZHUANG Zhengyu;HUANG Li(Economy Research Institute State Grid Zhejiang Electric Power Co.,Ltd.,Hangzhou 310016,China;Jinshuitan Hydropower Plant State Grid Zhejiang Electric Power Co.,Ltd.,Lishui 323000,Zhejiang China;Zhejiang Talent Electric Power Group Co.,Ltd.,Huzhou 313000,Zhejiang China)

机构地区：[1]国网浙江省电力有限公司经济技术研究院,浙江杭州310016 [2]国网浙江省电力有限公司紧水滩水力发电厂,浙江丽水323000 [3]浙江泰仑电力集团有限责任公司,浙江湖州313000

出　　处：《粘接》2024年第8期184-188,共5页Adhesion

摘　　要：针对常规电网企业项目全景信息共享效率较低问题,提出结合协同过滤和群体智能算法的电网企业项目全景信息共享方法。采用协同过滤算法将电网企业项目全景信息的数据进行多维划分,通过计算信息资源匹配率以扩展全景信息,并根据数据类别设置置信空间,计算置信空间内全景信息的标准差,以此完成全景信息采集,结合全景信息的参数匹配集,引入调度函数进行学习融合,以此为依据,以共享数据库与本地数据库之间的映射次数最少为目标建立共享模型,并采用群体智能算法求解模型,进而输出全景信息共享策略。实验应用结果表明,所提方法能够提高全景信息共享效率。In order to solve the problem of low efficiency of panoramic information sharing of conventional power grid enterprise projects,a panoramic information sharing method of power grid enterprise projects combined with col⁃laborative filtering and swarm intelligence algorithm was proposed.The collaborative filtering algorithm was used to multi-dimensionally partition the data of the panoramic information of power grid enterprise projects.The panoramic information was expanded by calculating the information resource matching rate,and the confidence space was set ac⁃cording to the data category to calculate the standard deviation of the panoramic information in the confidence space,so as to complete the collection of panoramic information.Combining the parameter matching set of the panoramic in⁃formation,a scheduling function was introduced for learning and fusion,based on this,the sharing model was estab⁃lished with the goal of minimizing the number of mappings between the shared database and the local database,and the swarm intelligence algorithm was used to solve the model,and then the panoramic information sharing strategy was output.The results showed that the proposed method could effectively ensure the transmission speed of data sharing and improve sharing efficiency.

关 键 词：协同过滤算法 群体智能算法 电网企业 全景信息 信息共享 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术] TM76[自动化与计算机技术—计算机科学与技术]