Research on Complexity Evaluation Method for Dispatch Automatic Generation Control Software Based on GRA

With the increasing complexity of dispatch automatic generation control (AGC) systems, evaluating the software complexity has become essential for optimizing performance and improving reliability. This paper investigates the complexity evaluation of AGC software by analyzing its operational and functional characteristics. A complexity evaluation model is constructed from the perspectives of code structure and software structure. The model introduces a structural complexity indicator based on functional network density and evaluates corresponding metrics using the grey relational analysis (GRA) comprehensive evaluation method. Case studies are conducted to verify the feasibility and applicability of the proposed method. The results demonstrate that this model and evaluation method can provide valuable support for improving software quality, optimizing software testing strategies, and guiding the development of more efficient AGC systems.