变电领域移动便捷式直流电源车及核容检测技术分析

Analysis of Portable DC Power Supply Vehicle and Capacity Detection Technology in the Field of Power Transformation

针对35kV变电站只配置一套直流系统而存在运行安全风险的情况,设计一种移动便捷式直流电源车,用于变电站直流系统故障快速响应,尤其单套直流系统运行35kV变电站,也可作为变电站直流定检临时备用电源,提升变电站运行可靠性。针对核容检测准确度不高的问题,文章选择与蓄电池剩余容量密切相关的开路电压、内阻、环境温度三个关键参数,采用以内阻法和开路电压法为核心的物理建模法,及以最小二乘支持向量机法为核心的辨识估计法联合检测,引入自动寻优的粒子群算法和启发性变异的遗传算法,提升蓄电池剩余容量检测精度,其平均误差可控制在3%以内,具有较强的实用性。

In view of the operation safety risk of only configuring one set of DC system in 35 kV substation,this paper designs a mobile and convenient DC power vehicle,which is used as rapid response to DC system faults in the substation.In particular,a single set of DC system miming 35 kV substation can also be used as a temporary standby power supply for DC regular inspection of the substation to improve the reliability of substation operation.In view of the low accuracy of capacity detection,this paper selects three key parameters,namely open circuit voltage,internal resistance and ambient temperature,which are closely related to the residual capacity of the battery.The physical modeling method with internal resistance method and open circuit voltage method as the core and the identification and estimation method with least squares support vector machine method as the core are used for joint detection,and the particle swarm optimization algorithm with automatic optimization and genetic algorithm with heuristic mutation are introduced,improve the detection accuracy of battery residual capacity and its average error can be controlled within 3%,which has strong practicability.