AI 中文总结
本文针对构网型换流器直流母线控制未考虑一次能源动态特性的问题，提出基于遗传算法的参数整定方法，可降低换流器在突发功率不平衡时的断开风险，提升系统弹性。
AI 中文摘要
传统同步发电机正逐渐被换流器接口的可再生能源替代，这引发了电力系统常规惯性降低的担忧，进而威胁系统稳定性。为此，构网型电压源换流器被视为应对这一挑战的关键解决方案。尽管已有大量文献研究构网型换流器的直流母线电压调节，但多数现有方法隐含假设直流电源是理想且无约束的。因此，一次能源的动态响应和运行极限——其在暂态过程中会严重影响直流侧可用功率——在直流母线控制设计中很少被建模或明确考虑。本文表明，在设计阶段纳入这些方面可降低换流器在突发功率不平衡时与电网断开的风险，同时提升系统弹性。本文提出一种基于遗传算法的系统方法来整定控制参数，通过详细的电磁暂态模型仿真验证了所提控制的性能。
英文摘要
The gradual substitution of conventional synchronous generators by converter-interfaced renewable energy sources raises concerns about the reduction of conventional inertia in electric power systems and the ensuing threat to their stability. In this regard, grid-forming voltage source converters have been proposed as a key solution to address this challenge. Although a growing body of literature addresses DC-link voltage regulation in grid-forming converters, most existing approaches implicitly assume an ideal and unconstrained DC power source. As a result, the dynamic response and operational limits of the primary energy source, which can critically shape the available DC-side power during transients, are rarely modeled or explicitly accounted for in the design of the DC-link control. This paper demonstrates that incorporating these aspects at the design stage reduces the risk of converter disconnection from the power grid under sudden power imbalances, while enhancing system resilience. A systematic methodology based on a Genetic Algorithm is proposed to tune the control parameters. The performance of the proposed control is validated by simulation using a detailed electromagnetic transient model.
Comments34 pages, 8 figures
Journal refElectric Power Systems Research 2026
DOI：10.1016/j.epsr.2026.113887
