基于非对称模型的变电所数据融合误差优化研究

Research on Data Fusion Error Optimization of Substation Based on Asymmetric Model

摘要:

牵引变电所作为给电力机车提供电能的场所,保障电能的稳定与安全性;由于电力机车是非线性负载高速运载具有不平衡特性,在吸收电网的基波电流的同时也在反馈回流谐波电流,给电网运行带来波动干扰与滤波畸变,对供电线路与负荷安全带来威胁;基于通过建立变电所三相匹配与失配模型的比较,利用多传感器采集与测量数据融合技术与自适应模型修正功能,控制参数的变化与调节结构状态,找出可以有效控制与优化误差的方案,确保电网安全与供电稳定。

Abstract:

Traction substation as a place to provide electric power for electric locomotive, stability and security of power system. Because the electric locomotive is a nonlinear load high speed carrier has unbalanced characteristics, the fundamental current in the absorption grid is also fed back to the harmonic current, The disturbance and filter distortion are brought to the power grid, threat to power supply line and load safety. Based on the comparison of three-phase matching and mismatch model, multi-sensor data acquisition and measurement data fusion technology and adaptive model correction function, change of control parameters and adjustment of structural state, find out the scheme that can control and optimize the error, ensure the safety and stability of power supply.