Optimization Design of Distribution Terminal Automation Joint Debugging System Based on Artificial Intelligence Algorithm
Lei Huang, Daixi Yang, Chang Tang, Yuefeng Peng, Yang Yin · 2024
At present, most distribution networks basically adopt multi-level reactive power compensation modes such as substation centralized compensation, low-voltage centralized compensation, pole mounted reactive power compensation, and user terminal decentralized compensation. Each voltage and reactive power regulation equipment only performs independent control based on the measured values at the installation measurement points. The voltage regulation methods at the user end have been fully used up, and there is a voltage regulation margin at the line or substation end without voltage regulation. This article is based on the AI (Artificial Intelligence) algorithm to design the optimization of the distribution terminal automation joint debugging system. Finally, the research results show that compared with the three algorithms, it can be found that the accuracy rate of this algorithm is 88.73% and the success rate is 94.97%, which are better than the other two algorithms. In the comparison of error rates, the error rates of this algorithm are all within 2%, indicating that this algorithm is more in line with technical standards and relevant design requirements. Fully utilizing AI algorithm for coordinated control of voltage regulation equipment across the entire grid to solve the problem of “low voltage” has significantly improved the voltage quality of the power grid.