1.西安交通大学电气工程学院, 710049,西安
2.中国南方电网电力调度控制中心, 510663,广州
3.南方电网科学研究院, 510663,广州
李崇涛(1983—),男,教授,博士生导师。
收稿:2025-03-22,
网络首发:2025-05-27,
纸质出版:2025-09-10
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李崇涛, 张建新, 何劲捷, 等. 基于受扰后平衡点延拓的在线暂态稳定控制策略——稳控措施求解[J]. 西安交通大学学报, 2025,59(9):22-32.
LI Chongtao, ZHANG Jianxin, HE Jingjie, et al. An Online Transient Stability Control Strategy Based on Post-Disturbance Equilibrium Point Continuation: Stability Control Measure Solution[J]. Journal of Xi’an Jiaotong University, 2025, 59(9): 22-32.
李崇涛, 张建新, 何劲捷, 等. 基于受扰后平衡点延拓的在线暂态稳定控制策略——稳控措施求解[J]. 西安交通大学学报, 2025,59(9):22-32. DOI: 10.7652/xjtuxb202509003.
LI Chongtao, ZHANG Jianxin, HE Jingjie, et al. An Online Transient Stability Control Strategy Based on Post-Disturbance Equilibrium Point Continuation: Stability Control Measure Solution[J]. Journal of Xi’an Jiaotong University, 2025, 59(9): 22-32. DOI: 10.7652/xjtuxb202509003.
针对电力系统受扰后暂态失稳问题,提出了一种基于受扰后平衡点构造及延拓的控制策略。首先,基于所提平衡点求解数学模型,沿扰动方向构造并延拓该平衡点;然后,提出了鞍结分岔点求解—平衡点延拓—控制策略校验的三阶段控制策略求解流程,并基于灵敏度分析建立平衡点延拓与控制参数之间的解析关系,优化控制策略的求解;最后,基于IEEE 39节点标准算例和省级实际电网算例进行了仿真验证。结果表明:所提控制策略能够有效提升受扰后系统的稳定裕度,相比于传统的控制策略,所提策略给出了解析的控制依据,能够快速精准地确定控制参数的调整方向和幅度,具有更高的计算效率和准确性。该研究可为在线紧急控制提供兼具解析性与可靠性的解决方案。
To address transient instability in power systems following disturbances
a novel control strategy based on the construction and continuation of post-disturbance equilibrium points is proposed. First
a mathematical model is established to solve for the proposed equilibrium point
which is then constructed and extended along the direction of disturbance. A three-stage control solution process is introduced
which involves solving for the saddle-node bifurcation point
extending the equilibrium point
and validating the control strategy. Furthermore
sensitivity analysis is employed to establish an analytical relationship between the extended equilibrium points and control parameters
optimizing the determination of control strategies. Finally
simulations based on the IEEE 39-bus standard test case and provincial-level actual power grid case are conducted for validation. The results demonstrate that the proposed control strategy effectively enhances the stability margin of the system following disturbances. Compared to traditional control strategies
the proposed strategy offers an analytical basis for control
enabling rapid and precise determination of the direction and magnitude of control parameter adjustments
thus achieving higher computational efficiency and accuracy. This study provides a solution for online emergency control that combines both analytical and reliable features.
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