Network-configuration-type SVG dynamic capacity sizing and site selection method based on load fluctuation

By using the grid-based SVG dynamic capacity-based location method, combined with multi-timescale analysis of grid load fluctuations and reactive power demand, a dynamic capacity optimization model is established. This solves the problem of insufficient load fluctuation matching in traditional grid reactive power compensation schemes, and realizes the accurate configuration and economic rationality of grid reactive power compensation equipment.

CN121010057BActive Publication Date: 2026-02-13POWER RES INST OF STATE GRID SHAANXI ELECTRIC POWER CO LTD +2
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Patent Information

Application Number
CN202511538236.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-10-27
Publication Date
2026-02-13
Estimated Expiration
2045-10-27

AI Technical Summary

Technical Problem

Traditional power grid reactive power compensation schemes cannot match load fluctuations in a timely manner, resulting in grid voltage deviations exceeding the allowable range. Furthermore, the site selection method does not fully consider the dynamic correlation between load fluctuations and reactive power demand, leading to a mismatch between compensation locations and actual needs, making it difficult to balance technical rationality and economic feasibility.

Method used

The dynamic capacity and location method for grid-based SVG based on load fluctuations collects real-time load data and historical reactive power demand data from the power grid to form load fluctuation characteristic sequences and reactive power compensation demand characteristic sequences. It then performs multi-time-scale correlation analysis, establishes a dynamic capacity optimization model, and adaptively adjusts the model parameters. Combined with real-time power grid data, it determines the installation location and capacity configuration of the SVG, performs a comprehensive technical and economic evaluation, and selects the optimal configuration scheme.

Benefits of technology

It achieves precise matching between grid load and reactive power demand, improves the accuracy and timeliness of capacity configuration, ensures that grid reactive power compensation equipment is technically and economically feasible, and avoids the problem of unreasonable resource allocation in traditional methods.

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Abstract

The present application relates to the technical field of power grid reactive power compensation, and discloses a network type SVG dynamic capacity and site selection method based on load fluctuation. The method collects real-time load data and historical reactive power demand data in the power grid system, forms a load fluctuation characteristic sequence and a reactive power compensation demand characteristic sequence; performs multi-time scale correlation analysis on the above two sequences, identifies the dynamic coupling mode between load fluctuation and reactive power demand, and generates a reactive power compensation priority evaluation result; according to the load fluctuation characteristic sequence and the reactive power compensation priority evaluation result, a dynamic capacity optimization model of the network type SVG is established, and the model parameters are adaptively adjusted; the real-time collected power grid operation data is matched and analyzed with the dynamic capacity optimization model, the potential installation position and capacity configuration range of the network type SVG are determined, and a preliminary site selection and capacity configuration scheme is generated; based on the preliminary scheme, a comprehensive evaluation of technical economy is performed, and the optimal network type SVG configuration scheme is selected, which can better adapt to the dynamic operation demand of the power grid.
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