摘要
针对进行光伏发电机组密集型异动信息更新操作时,出现更新时延长、更新结果不完整的问题,提出了光伏发电机组异动信息主动增量式更新算法。通过特征提取、小波变换和模极大值计算来获取有效的增量式特征;构建增量特征成词袋模型并进行标注;结合蚁群算法搜索异动信息,计算最小平均带宽和最佳更新路径,通过动态更新相容类和决策类异动信息完善数据;采用2阶段集合式更新方案进行信息增量收集和校验增量分发,以获取主动增量式更新异动信息。由实验结果可知,该算法更新时延在全部校验节点下未超过40 s,且能够保证更新结果具有完整性。
A proactive incremental update algorithm for abnormal information of photovoltaic power generation units is proposed to address the issues of extended update time and incomplete update results during the intensive abnormal information update operation of photovoltaic power generation units.Obtain effective incremental features through feature extraction,wavelet transform,and modulus maximum calculation;Build an incremental feature bag model and annotate it;Combining ant colony algorithm to search for abnormal information,calculating the minimum average bandwidth and optimal update path,and improving the data by dynamically updating compatible and decision⁃making abnormal information;Adopting a two⁃stage collective update scheme for incremental information collection and verification of incremental distribution to obtain proactive incremental update abnormal information.From the experimental results,it can be seen that the update delay of this algorithm does not exceed 40 seconds under all verification nodes,and it can ensure the integrity of the update results.
作者
王晖
赵咨钧
管保晋
曲诺亚
WANG Hui;ZHAO Zijun;GUAN Baojin;QU Nuoya(National Local Joint Engineering Research Center for Smart Distribution Grid Measurement and Control with Safety Operation Technology,Changchun Institute of Technology,Changchun 130012,China)
出处
《电子设计工程》
2025年第1期132-136,共5页
Electronic Design Engineering
基金
吉林省科技发展计划项目(20210203101SF)。
关键词
光伏发电机组
异动信息
主动增量式
更新
photovoltaic power generation unit
abnormal information
active incremental
update
