(现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学), ),吉林,吉林,132012
纸质出版:2026
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杨德健,刘嘉雪,孙振琪,金恩淑.基于深度强化学习的VSG电压控制与虚拟阻抗联合控制策略[J].智慧电力,2026,54(5):106-114.
doi:10.20204/j.sp.2026.05013
杨德健,刘嘉雪,孙振琪,金恩淑.基于深度强化学习的VSG电压控制与虚拟阻抗联合控制策略[J].智慧电力,2026,54(5):106-114. DOI: 10.20204/j.sp.2026.05013.
doi:10.20204/j.sp.2026.05013 DOI:
虚拟同步机(VSG)控制凭借主动支撑优势获得学界与工程领域广泛关注,但在故障期间难以兼顾暂态稳定与故障电流抑制。为此,提出一种基于深度强化学习的VSG电压控制与虚拟阻抗联合控制策略。首先,构建基于虚拟同步机的构网型变流器数学模型;其次,揭示虚拟阻抗和电压下垂系数对故障电流和系统暂态稳定性的影响机理;最后,设计并实施一种采用离线训练与在线运行相结合方式的、兼顾故障电流抑制及暂态稳定性的联合控制策略。仿真结果表明,所提联合控制策略可有效提升虚拟同步机联网系统的暂态稳定性并显著增强故障限流能力,从而为提升高比例新能源接入下新型电力系统的主动支撑能力与安全防御水平提供了关键理论依据与技术支撑。
Virtual synchronous generator (VSG) control has gained widespread attention in academia and engineering due to its active support advantages. However
it is difficult to balance transient stability and fault current suppression during faults. To address this
this paper proposes a joint control strategy of VSG voltage control and virtual impedance based on deep reinforcement learning. First
a mathematical model of a grid-forming converter based on a virtual synchronous generator is constructed. Second
the influence mechanisms of virtual impedance and voltage droop coefficient on fault current and system transient stability are revealed. Finally
a joint control strategy that adopts a combined offline training and online operation approach is designed and implemented
which balances fault current suppression and transient stability. Simulation results show that the proposed joint control strategy can effectively enhance the transient stability of the VSG-grid-connected system and significantly improve fault current limiting capability
thereby providing a key theoretical basis and technical support for enhancing the active support capability and security defense level of new-type power systems with a high proportion of new energy integration.
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