A power flow system ill-condition evaluation method and system based on power network parameters

By generating a multi-dimensional set of evaluation indicators to replace the traditional Jacobian matrix singular value calculation and dynamically adjusting the judgment threshold, the ill-conditioned power flow calculation problem caused by grid parameters in the power system is solved, the stability and accuracy of power flow calculation are improved, and the labor cost is reduced.

CN120454075BActive Publication Date: 2026-06-09WUXI RES INST OF APPLIED TECH TSINGHUA UNIV +1
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
WUXI RES INST OF APPLIED TECH TSINGHUA UNIV
Filing Date
2025-05-09
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing technologies are insufficient to effectively solve the problem of ill-conditioned power flow calculation in multi-level power systems caused by grid parameters. In particular, the numerical stability and convergence of the Newton-Raphson algorithm are challenged under factors such as high R/X ratio, weak grid connection, and voltage instability.

Method used

By generating a multi-dimensional set of evaluation indicators, including network topology, admittance matrix characteristics, and branch impedance parameters, the traditional Jacobian matrix singular value calculation is replaced. The judgment threshold is dynamically adjusted to evaluate the ill-condition number of power flow calculations and provide ill-condition risk levels and optimization suggestions.

Benefits of technology

It significantly improves the accuracy of power flow calculation and stability assessment in multi-level power grids, reduces labor costs, and increases production efficiency.

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Abstract

This invention discloses a method and system for ill-condition assessment of power flow systems based on power network parameters, primarily relating to the field of power system data computation technology. The method includes the following steps: generating a multi-dimensional evaluation index set based on the basic network parameters of the power system, comprising network topology indicators, admittance matrix characteristic indicators, and branch impedance parameter statistics; evaluating the number of ill-conditions in power flow calculation by comprehensively analyzing the generated multi-dimensional evaluation index set, replacing the traditional Jacobian matrix singular value calculation; and dynamically adjusting the judgment thresholds of each index according to the power grid type and operating scenario, outputting the ill-condition risk level and optimization suggestions. The beneficial effects of this invention are: it achieves calculation independent of Jacobian matrix singular values, dynamically quantifies and evaluates adverse operating conditions of the system, and significantly improves the accuracy of power flow calculation stability assessment for large-scale power grids.
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