Smart grid power quality monitoring and regulation based on photoelectric sensors and optical system signal processing

With the rapid development of smart grids, power quality monitoring and regulation have become an important task to ensure the stable operation of the power grid. Traditional power quality monitoring methods have problems such as low monitoring accuracy and poor real-time performance. Therefore, this article proposes a smart grid power quality monitoring and adjustment method based on photoelectric sensors and optical system signal processing to improve monitoring accuracy and real-time performance. This article uses photoelectric sensors to monitor the power quality in the power grid in real-time, and transmits the monitoring data to the optical system. Signal processing of monitoring data through optical systems to extract key parameters related to power quality. Finally, by adjusting the relevant equipment of the smart grid, the regulation and optimization of power quality can be achieved. The experimental results show that the smart grid power quality monitoring and adjustment method based on photoelectric sensors and optical system signal processing can effectively improve monitoring accuracy and real-time performance. Through real-time monitoring and regulation of power quality, the stability and reliability of the power grid have been significantly improved.