Linearized robust optimal power flow generation method and system
WO2024259880A1PCT designated stage expired Publication Date: 2024-12-26GUANGDONG POWER GRID CO LTD +1
Patent Information
- Application Number
- PCT/CN2023/131377
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2023-06-21
- Filing Date
- 2023-11-13
- Publication Date
- 2024-12-26
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Figure CN2023131377_26122024_PF_FP_ABST
Abstract
Disclosed in the present invention are a linearized robust optimal power flow generation method and system. The method comprises: using a pre-constructed linearized optimal power flow regression model to generate first power flow section results of several samples to be subjected to measurement in a power system; performing error analysis on said samples according to actual section measurement results and the first power flow section results of said samples, so as to obtain model error samples and model error results, which correspond to said samples; by means of an error kernel density estimation algorithm, performing analysis in view of all the model error results and all the model error samples, so as to obtain an error confidence interval; and using the error confidence interval to optimize an uncertain error variable of the linearized optimal power flow regression model to obtain a linearized robust optimal power flow model, and solving the linearized robust optimal power flow model to generate a linearized robust optimal power flow result. In the present invention, an error confidence interval is analyzed by means of an error kernel density estimation algorithm, thus optimizing an uncertain error variable of a model to improve the precision of the model.
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Citation Information
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