A power flow multi-solution voltage stability margin minimum value identification method considering element amplitude limiting characteristics

By constructing a power system model and applying the tangent method, the first over-limit step size of the limiting element is predicted, feasible solutions are screened, and accurate power flow calculations are performed. This solves the problem of multiple solutions for voltage stability margin, achieves efficient voltage stability margin identification, and meets the requirements for online evaluation.

CN122371201APending Publication Date: 2026-07-10SHANDONG UNIV OF TECH

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANDONG UNIV OF TECH
Filing Date
2026-04-15
Publication Date
2026-07-10

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Abstract

This invention belongs to the field of voltage stability analysis technology. Based on the correlation between voltage stability margin and the first over-limit step size, it proposes a method for identifying the minimum voltage stability margin of multiple power flow solutions considering the limiting characteristics of components. The steps include: constructing a power system model considering the limiting characteristics of components to obtain an initial set of multiple power flow solutions; using a limiting characteristic processing method to screen the feasibility of the initial multiple power flow solutions to obtain a set of feasible solutions; constructing a prediction algorithm for the first over-limit step size of components based on the tangent method principle to obtain the predicted first over-limit step size corresponding to each feasible solution, and sorting the feasible solutions in ascending order to obtain a list of candidate solutions; selecting key candidate solutions, calculating the accurate load margin of each key candidate solution, comparing and selecting the minimum value as the minimum voltage stability margin of the power system, and outputting the identification result. This invention can significantly reduce the computational burden while ensuring identification accuracy and meeting the timeliness requirements of online safety assessment.
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