Research on Abnormal Monitoring Technology of Electric Energy Data Based on DSP

Abstract

Electric energy is one of the most widely used energy, and its application degree is one of the main symbols of a country’s development level. With the development of power system automation technology and computer technology, power quality monitoring system is widely used in many power consumption fields such as electric power, metallurgy, steelmaking and power plant, so as to monitor the power quality of load and protect some power sensitive loads such as computer system, communication system and medical system. At the same time, it can locate users affecting the power supply quality of power grid and order them to rectify. The existing monitoring system is not fully functional, especially the foreign monitoring system is expensive. Therefore, the research on the power quality monitoring system with complete functions and high cost performance has a good application prospect and market value. This paper designs a power quality dynamic monitoring system. Real time monitoring of power system is the main task of the system. Through real-time monitoring, the stable and safe operation of power system can be ensured. Based on the control core, this design adopts the algorithm to complete the long-term and real-time monitoring of the power grid. According to the modular method, this design divides the whole system into four parts: data acquisition, data processing, data communication and human-computer interaction. In the data acquisition part, the voltage and current signals in the power grid are completely collected into the digital signal processor, and then the processor calculates the data to obtain the parameter values of power quality. The processor also compares the calculated value with the standard value. If the actual data does not meet the requirements, it will give an alarm and remind, and the parameter results will be communicated with the host computer through the serial communication interface. This design can supervise the working state of the whole power grid, evaluate the level of power quality and prevent possible accidents in the power system.