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作 者:鲜钊 XIAN Zhao(Shaoguan Power Supply Bureau of Guangdong Power Grid Co.,Ltd,Xianzhao 512000,China)
机构地区:[1]广东电网有限责任公司韶关供电局,广东韶关512000
出 处:《自动化与仪器仪表》2021年第1期144-147,共4页Automation & Instrumentation
基 金:广东省电网科研项目:电力调度故障智能告研究(No.GJ140002)。
摘 要:为了提高电力调度故障智能告警和诊断能力,提出基于数据驱动的电力调度故障智能告警系统设计方法,建立电力调度故障智能告警信息采集模型。通过大数据信息采样及短时数据窗截取的方法进行电力调度故障智能告警过程的数据驱动控制,结合交叉编译技术进行电力调度故障信息采集和指令加载,采用灰阶样本信息重构的方法,进行电力调度智能告警系统故障特征分析,通过构建直流电压最大波动检测统计量和判决函数,进行电力调度故障智能故障信息融合和判断,通过数据驱动和大数据信息聚类的方法,构建故障特征提取模型以及故障信息融合模型,实现对电力调度告警系统故障的特征融合和分类识别,结合交流频率变化,得到电力调度智能告警系统的故障检测输出函数,实现对电力调度故障的的检测结果输出及判断,提高电力调度故障检测和识别能力。仿真结果表明,采用该方法进行电力调度故障检测的智能诊断性较好,提高了故障检测和识别能力。In order to improve the ability of intelligent alarm and diagnosis of power dispatching faults,a design method of intelligent alarm system for power dispatching faults based on data driving is proposed,and an intelligent alarm information collection model for power dispatching faults is established.Data-driven control of the intelligent alarm process of power dispatch faults is carried out through the methods of big data information sampling and short-term data window interception,combined with cross-compilation technology for power dispatch fault information collection and instruction loading,and gray-scale sample information reconstruction method Power dispatch intelligent alarm system fault characteristic analysis,through the construction of the maximum fluctuation detection statistics and decision function of DC voltage,the intelligent fault information fusion and judgment of power dispatch faults are carried out,and the fault characteristic extraction model is constructed through the method of data driving and big data information clustering And the fault information fusion model,which realizes the feature fusion and classification recognition of power dispatch alarm system faults,combined with AC frequency changes,obtains the fault detection output function of the power dispatch intelligent alarm system,and realizes the detection result output and judgment of power dispatch faults.Improve power dispatch fault detection and identification capabilities.Simulation results show that the intelligent diagnosis of power dispatching fault detection by this method is better,and the ability of fault detection and identification is improved.
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