大型电网能耗自动监测模块的设计与实现

Design and implementation of energy consumption automatic monitoring module for large-scale power grid

电网能耗监控对节能减排意义重大,当前的电网缺少相应的模块。提出一种基于窄带匹配变压和功率放大混合调制的大型电网能耗自动监测模块设计方法。设计大型电网能耗监测数据采集系统,负责大型电网能耗信息信号的采集、处理和与上位机系统的通信和数据传输;设计窄带匹配变压器和功率放大器,通过窄带匹配变压和功率放大混合调制实现对电网功耗的数据滤波和信号检测;基于DSP信号处理芯片,在CCS 2.20开发平台下进行大型电网能耗监测的平台集成编译、接口连接、调试及仿真。实验结果表明,该系统能有效实现对大型电网能耗的主动监测和参量估计,在微控制器单元上实施数字控制,通过比较能耗监测图对应的幅频值,该方法具有较好的能耗监测阶跃响应性能,频谱失真较少,能耗监测的收敛性和稳定性较好。

The energy consumption monitoring of power grid has great significance for energy conservation and emission reduction,but the current power grid lacks of the corresponding modules to deal with it. A design method of the large-scale power grid energy consumption automatic monitoring module based on hybrid modulation of narrow-band matching voltage transformation and power amplification is proposed. The energy consumption monitoring and data acquisition system for the large-scale power grid was designed,which is responsible for the acquisition and processing of the energy consumption information signal of large-scale power grid,and for communication and data transmission with upper computer system. The narrow-band matching voltage transformer and power amplifier were designed. The hybrid modulation of narrow-band matching voltage transformation and power amplification is used to realize data filtering and signal detection of the power grid consumption. The integration compiling,interface connection,debugging and simulation for the energy consumption monitoring platform of the large-scale power grid are conducted with DSP chip in CCS 2.20 development platform. The experimental results show that the system can effectively realize the active monitoring and parameter estimation of the energy consumption for large-scale power grid,and execute the digital control on the microcontroller unit. The comparison of the corresponding amplitude-frequency values in the energy consumption monitoring graph shows this method has good step response performance of the energy consumption monitoring,less frequency spectrum distortion,and excellent convergence and stability of energy consumption monitoring.