综合配电柜(JP柜)温度监测与健康状态评估技术

建立电气设备状态监测系统,对电气设备的运行状态进行智能化评估与故障诊断,能够有效提高电网运行的可靠性。为此,文章构建嵌入式系统的JP柜温度监测与健康状态评估系统,综合考虑JP柜不平衡电流及环境因子,采用权重分配的温度融合算法来提高监测温度精准度。然后,采用归一化处理的神经网络评估算法,映射温度、断路器分合闸电流及监测信息,规划出7个评估指标。最后,建立实验平台与仿真案例,对监测系统与算法进行验证。

The establishment of electrical equipment condition monitoring system for intelligent evaluation and fault diagnosis of electrical equipment can effectively improve the reliability of power grid operation.Therefore,this paper constructs the JP cabinet temperature monitoring and health status evaluation system of embedded system,comprehensively considers the unbalanced current and environmental factors of JP cabinet,and adopts the temperature fusion algorithm of weight distribution to improve the temperature monitoring accuracy.Then,the normalized neural network evaluation algorithm is used to map the temperature,breaker opening and closing current and monitoring information,and seven evaluation indexes are planned.Finally,the experimental platform and simulation case are established to verify the monitoring system and algorithm.