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基于大数据分析方法的电网安全运行方案研究 被引量:4

Research on Safe Operation Scheme of Power Network Based on Big Data Analysis Method
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摘要 针对高压电网在实际运行中安全性能不足、事件报警频繁的问题,运用区块链的方式分化电网易发风险区域,将复杂的电网进行分化,从而逐一完成安全排查。研发概率风险分析(PRA)网架,对电网运行中的各个重要设备设置安全结点,通过标记的方式掌握设备信息。采用改进生成式对抗网络(GAN)算法对系统运行中的安全漏洞进行修复,并预测系统运行安全指标。试验表明,本研究电网运行配电最大容量为1711.96 KVA,改进的GAN算法预测安全指标为98.4%,系统运行24 h期间系统事件报警率为0.35%。 Aiming at the problems of insufficient safety performance of high-voltage power grids in actual operation and frequent event alarms,this paper uses the blockchain method to differentiate the risk-prone areas of the power grid,divide the complex power grids,and complete the safety investigation.We research and develop the probabilistic risk analysis(PRA)grid,set up safety nodes for each important equipment in the operation of the power grid,and grasp the equipment information by marking.The improved generative adversarial network(GAN)algorithm is used to repair the security vulnerabilities in the system operation and predict the system operation security indicators.The test shows that the maximum power distribution capacity of the power grid in this study is 1711.96 kVA,the improved GAN algorithm predicts a safety index of 98.4%,and the system event alarm rate during 24 hours of system operation is 0.35%.
作者 吴骅 WU Hua(State Grid Xi’an Electric Power Supply Company,Xi’an 710032,China)
出处 《微型电脑应用》 2023年第10期148-151,160,共5页 Microcomputer Applications
关键词 电网安全系统 大数据分析方法 区块链安全体系 PRA网架结构 改进GAN算法 grid security system big data analysis method block chain security system PRA grid structure improved GAN algorithm
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