基于数据挖掘技术预测与分析变电站中电磁环境

变电站中恶劣的电磁环境严重干扰其内部的微机保护设备正常工作,威胁电力系统运行安全。应用数据挖掘技术预测微机保护设备在变电站中发生故障的概率,并通过分析生成的模型制定有效的电磁干扰抑制策略来改善变电站中的电磁环境。最后,根据预测的变电站中的电磁环境采取空间隔离措施,将微机保护设备安装在电磁干扰小的位置。理论分析表明,应用数据挖掘技术预测与分析变电站中的电磁环境是可行和有效的。

Prediction and Analysis of Electromagnetic Environments in Substation with Data Mining Technology

Malfunction of microprocessor protection devices due to bad electromagnetic environment in a substation hazards safe operation of power system.In this paper,data mining technology is applied to predict malfunction probability of microprocessor protection devices in a substation.And effective anti-jamming measures are adopted to reduce electromagnetic interference in substation by analyzing data mining results.Moreover,microprocessor protection devices are positioned at the place where electromagnetic interference is weak according to the prediction result.Theoretical analysis shows that data mining technology is feasible and effective to predict and analyze electromagnetic environment in substations.