Robustness analysis of power system dynamic process and repair strategy

The growing importance of power systems in the development of modern society has increasingly drawn attention to the various dangers to which these systems are exposed. This paper proposes a dynamic response process analysis framework of power systems with the aim of exploring the response of the system when it encounters a fault and the repair process after the disaster. The analysis framework establishes three models to analyze power system structure and functional robustness: a purely topological model, an artificial flow model, and a direct current power flow model. We present different analysis metrics under different models, simulate three fault scenarios, and conduct an evaluation and analysis. According to the analysis results and considering the robust analysis conclusion and the concept of graph theory, we have formulated four repair strategies and made a simulated comparison of the repair processes. Taking IEEE39 and IEEE300 as examples, the effectiveness of the analysis framework is verified, the repair effect is verified, and the optimal repair strategy is determined.

Automated summary

This paper presents a dynamic response process analysis framework for power systems, establishing different models to analyze the structural and functional robustness of the system, and proposing four repair strategies. Through case studies of IEEE39 and IEEE300, the effectiveness of the analysis framework and the optimal repair strategy are verified.