基于云边协同的柔直电网广域协同控制方法及系统

By employing a cloud-edge collaborative wide-area control method for flexible DC power grids, a multi-dimensional collaborative control strategy library is constructed and monitored in real time. This solves the problem of lagging control actions in existing technologies, enabling rapid and precise control of flexible DC power grids and improving grid security.

CN121689310BActive Publication Date: 2026-07-17POWERCHINA JIANGXI ELECTRIC POWER ENGINEERING CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
POWERCHINA JIANGXI ELECTRIC POWER ENGINEERING CO LTD
Filing Date
2025-11-24
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing monitoring and control technologies lack effective online quantitative assessment methods when facing subsynchronous oscillations and frequency deviations, resulting in delayed control actions and difficulty in providing early warnings of potential instability risks. Furthermore, traditional methods rely on post-event responses, missing the optimal intervention opportunity.

Method used

A cloud-edge collaborative wide-area control method for flexible DC power grids is adopted. By constructing the system Jacobian matrix, a multi-dimensional collaborative control strategy library is generated. Combined with real-time monitoring and eigenvalue analysis, the wide-area resonance risk quantification factor is obtained, thereby achieving precise control of the flexible DC power grid.

Benefits of technology

It improves control response speed and accuracy, enhances the safety level of complex flexible DC power grids in the face of diverse disturbances, and ensures global optimality and rapid response of control actions.

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Abstract

本发明涉及监督控制技术领域,具体为基于云边协同的柔直电网广域协同控制方法及系统,包括以下步骤:根据电网拓扑与各换流站运行参数,构建系统雅可比矩阵并进行求逆运算,获取广域影响灵敏度矩阵。本发明通过离线构建系统雅可比矩阵并进行求逆运算,预先生成蕴含全网功率频率响应特性的多维协同控制策略库,将大量复杂的计算置于非实时阶段,减轻在线决策的计算压力,同时当系统在线运行时,通过建立状态空间方程并进行特征值分析与阻抗扫描,能够将难以直接观测的次同步振荡风险,融合成广域谐振风险量化因子,决策环节不再依赖单一的频率阈值触发,而是结合了对突发扰动的快速响应和对潜在谐振风险的深度洞察,形成双重驱动机制。
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