Low-voltage area topology-based power distribution line voltage quality real-time monitoring method

By establishing a probability density distribution model and constructing a probability interval power flow model in the low-voltage distribution area topology, the problem of insufficient accuracy in identifying voltage over-limit risks caused by the non-uniformity of distributed photovoltaic power output is solved, and high-precision voltage quality assessment and risk warning are achieved.

CN122600474APending Publication Date: 2026-08-18国网黑龙江省电力有限公司齐齐哈尔供电公司
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Patent Information

Application Number
CN202611066263.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-07-17
Publication Date
2026-08-18

AI Technical Summary

Technical Problem

Traditional power flow calculation methods for distribution networks struggle to accurately identify extreme voltage exceedance risks when faced with the non-uniform probability distribution characteristics of distributed photovoltaic power output. Existing probability interval power flow methods lack precision in dividing the coke cell interval, leading to significant fluctuations in the accuracy of evaluation results under different operating scenarios.

Method used

Based on the low-voltage distribution area topology, a probability density distribution model is established. By clustering and weighted fusion of the probability density distribution models of different distributed photovoltaics, the coke cell interval is divided, and a probability interval power flow model is constructed. Combined with evidence theory, a cumulative trust function curve is constructed to evaluate voltage quality.

Benefits of technology

It improves the accuracy of identifying and responding to voltage overrun risks in power distribution lines, achieves high-precision voltage quality assessment, and overcomes the problems of insufficient accuracy and resource waste in traditional methods.

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Abstract

The application relates to the technical field of voltage quality monitoring, in particular to a power distribution line voltage quality real-time monitoring method based on a low-voltage transformer area topology, which comprises the following steps: based on the historical output power of each distributed photovoltaic in the power grid topology structure of the low-voltage transformer area, a probability density distribution model is established, the distributed photovoltaic is classified, and the weight coefficients of each distributed photovoltaic are quantified, and the typical probability distribution model corresponding to each category is extracted; the fluctuation range of the output power is divided into multiple focal element intervals, and a basic trust degree is allocated to the focal element intervals to establish a focal element model of photovoltaic output; a probability interval power flow model is constructed; the probability interval power flow model is solved to obtain an interval solution of the node voltage amplitude, an accumulated trust function curve is constructed through evidence theory, and the quality confidence of the node voltage is obtained, so that the voltage quality of the power distribution line is evaluated. The application effectively improves the identification accuracy and early warning response capability of the voltage out-of-limit risk of the power distribution line.
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