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作 者:朱颖俊 Zhu Ying-jun
机构地区:[1]中国能源建设集团华东电力试验研究院有限公司,浙江杭州311200
出 处:《电力系统装备》2021年第9期85-86,共2页Electric Power System Equipment
摘 要:继电保护设备是维护大型发电厂用电设施安全的重要装置,但传统在线监视过程中,模型处理数据的能力偏弱,导致监视结果与真实值之间存在的偏移量较大,为此,研究与分析了全新的大型发电厂继电保护设备在线监视方法。该方法根据一般状态量和重要状态量,划分状态监视类别;采用支持向量计算法,构建继电保护设备监测信息聚合模型;选择不同的带电测试技术,自适应在线监视设备状态。实验结果:提出方法的监视数据偏移量小于0.05,传统方法的监视数据偏移量在0.5~3。由此可见,提出的在线监视方法可以进一步加强继电保护设备使用安全。Relay protection equipment is an important device to maintain the safety of power facilities in large power plants,but in the traditional online monitoring process,the ability of model to process data is weak,which leads to a large deviation between the monitoring results and the real value.Therefore,a new online monitoring method for relay protection equipment in large power plants is studied and analyzed.According to the general state quantity and the important state quantity,the method divides the state monitoring categories;uses the support vector machine algorithm to construct the relay protection equipment monitoring information aggregation model;selects different live test technologies to adaptively monitor the equipment state online.Experimental results:the monitoring data offset of the proposed method is less than 0.05,and that of the traditional method is between 0.5 and 3.Therefore,the proposed online monitoring method can further enhance the safety of relay protection equipment.
分 类 号:TM774[电气工程—电力系统及自动化]
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