Review and Prospect of Research on Optimization Methods for Load Model Parameters

This study provides an overview of the field of power grid safety analysis and simulation technology, focusing on the load model and parameters of the Central China Power Grid. With the help of big data analysis, the study analyzes the patterns of load changes with seasons, regions, and other factors, and conducts precise load modeling and parameter optimization analysis. This study introduces the current research progress in load modeling and points out the new situation faced by load modeling. Then, this study proposes a research framework for generalized integrated power load modeling based on big data, and discusses the research plan in detail. The proposed research framework focuses on addressing two key scientific issues, one is the coordination of accuracy and simplicity of the active load model structure based on big data, and the other is the coordination of time-varying and robust parameters of the load model based on big data. Therefore, this study points out a feasible technical route for establishing a load model based on big data.