Power grid new energy carrying capacity evaluation method based on multi-dimensional operation data fusion

By constructing the correlation trend of DC channel occupancy and grid topology switching behavior, and combining energy storage regulation capabilities, highly active regulation areas are identified, solving the problem of lack of collaborative characterization in the assessment of new energy access, realizing quantitative assessment and risk visualization of new energy carrying capacity, and improving the safety and stability of the power grid.

CN122371333APending Publication Date: 2026-07-10STATE GRID GANSU ELECTRIC POWER RESEARCH INSTITUTE
View PDF 0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
STATE GRID GANSU ELECTRIC POWER RESEARCH INSTITUTE
Filing Date
2026-04-14
Publication Date
2026-07-10

AI Technical Summary

Technical Problem

Under the background of large-scale grid connection of new energy, existing technologies lack the ability to collaboratively characterize the correlation trend of DC transmission channel occupancy, dynamic switching behavior of power grid topology, and active state of regional regulation. This leads to deviation between the assessment results of new energy carrying capacity and the actual operating status, and cannot effectively support multi-regional coordinated scheduling and risk early warning decision-making.

Method used

By collecting the real-time transmission power of the DC transmission channel under test, counting the number of grid topology switching, constructing the channel occupancy correlation trend, using the occupancy correlation trend to screen and mark energy access areas, calculating the regulation activity state, identifying high regulation activity areas, identifying power diversion lines through power exchange section power flow distribution, constructing impact propagation paths, and combining energy storage regulation capacity to assess the regional carrying capacity constraint level.

Benefits of technology

It enables quantitative assessment and risk visualization output of new energy carrying capacity, improves the support capability for safe and stable operation of the power grid, and supports multi-regional coordinated dispatch and risk early warning decision-making.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122371333A_ABST
    Figure CN122371333A_ABST
Patent Text Reader

Abstract

This invention discloses a method for assessing the renewable energy carrying capacity of power grids based on multi-dimensional operational data fusion, relating to the field of power grid carrying capacity technology. It addresses the problem of ineffective multi-regional coordinated dispatching. By collecting real-time power transmission data from DC transmission channels and statistically analyzing the number of grid topology switching operations, a channel occupancy correlation trend is constructed. Energy access areas are screened and marked, power regulation records are retrieved, a regulation activity index is calculated, and the regulation activity status is determined. High-activity areas are identified, and power diversion lines are identified based on the power flow distribution at power exchange sections. An impact propagation path is constructed by combining the power flow direction. Current jump data of diversion lines are collected, disturbance intensity is calculated, and the diffusion range is determined. A regional regulation capacity index is constructed by integrating energy storage regulation capacity. Based on the matching relationship between disturbance diffusion range and regulation capacity, a carrying capacity constraint level is generated, achieving quantitative assessment and risk visualization output of renewable energy carrying capacity.
Need to check novelty before this filing date? Find Prior Art