Synthetic Electric Field Prediction Method for Transmission Lines Based on Fuzzy PID Algorithm
As the power system develops and the size of the grid expands, the composite electric field of transmission lines has an increasingly important impact on the safety and stability of the power grid. Traditional electric field prediction methods have certain shortcomings in accuracy and real-time performance, so more efficient and accurate prediction methods are needed to meet the needs of the power system. The synthetic electric field prediction method for transmission lines based on the fuzzy PID (Proportional-Integral-Derivative) algorithm has emerged to improve the reliability and stability of power grid operation. This article studies a method for predicting the composite electric field of transmission lines based on the fuzzy PID algorithm. By comprehensively considering fuzzy control and PID regulation, accurate prediction of the composite electric field of transmission lines can be achieved, improving the stability and reliability of power grid operation. The experimental data shows that the relative error of synthetic electric field prediction fluctuates between 2.5% and 15.67%, and the accuracy of fuzzy PID algorithm prediction is good.
Authors
- Minxia Luo (ORCID: https://orcid.org/0000-0001-9400-3533)
- Gang Wang (ORCID: https://orcid.org/0000-0002-6705-4121)
- Haitao Chen (ORCID: https://orcid.org/0000-0002-0123-2511)
- Liang Chen (ORCID: https://orcid.org/0000-0002-0938-2880)
- Zhenming Wang
Institutions
- China Power Engineering Consulting Group (China) (CN)
Publication Details
- Journal
- Procedia Computer Science
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.procs.2025.04.019
- Primary Topic
- Power Systems Fault Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00