Research on Power Quality Detection in Power Systems Based on Improved Particle Swarm Optimization Algorithm

At present, there is a certain gap between China and the international community in terms of understanding and practical measures for power quality issues, and further detailed power quality management work is needed. This article is based on the IPSO (Improved particle swarm optimization algorithm) to analyze the initial position and amplitude changes of voltage dips and voltage interruptions in response to the large proportion of transient quality in power market problems. Due to the varying degrees of flatness deviation that devices that consume electrical energy can withstand during operation in the power system, precision instruments are more sensitive to frequency deviation and therefore require higher requirements. The final research results indicate that the fusion using the full probability calculation formula cannot reflect such changes. This indicates that using the method presented in this article for comprehensive evaluation of power quality is reasonable, and the final evaluation result is correct. And as the evidence increases, this level of credibility increases even faster. It also conforms to the logical belief that the more valid evidence collected, the clearer the understanding of the matter, the more reasonable the judgment made, and the greater the grasp.