AC/DC微电网的电网感知孤岛与再同步
Grid-Aware Islanding and Resynchronisation of AC/DC Microgrids
AI总结：
本文提出一种基于线性化潮流模型的最优电网感知控制框架，用于混合AC/DC微电网的孤岛与再同步，通过让接口变换器连接DC电网构网运行，实现了更宽运行范围、无约束违例的平滑过渡，并在27节点混合电网上验证有效。
摘要：
本文提出了一种最优的、电网感知的控制框架，用于混合AC/DC微电网的孤岛、孤岛运行和再同步。该最优控制框架基于形式化推导的多端混合AC/DC网络线性化潮流模型。该潮流模型将AC电网、DC电网和接口变换器（IC）集成到统一表示中。本工作扩展现有的潮流模型，以包含IC的构网运行。在传统的孤岛控制框架中，构网变换器通常与储能系统接口，该系统可提供双向功率以维持功率平衡。然而，所提出的框架允许IC作为构网单元运行，同时连接到DC电网而非单一资源。这种配置允许更宽的运行范围，从而实现更灵活的控制。此外，最优电网感知控制框架可引导系统确保在孤岛操作之前、期间和之后可行运行，且无任何电网约束违例。该框架还保证在并网和孤岛运行之间切换时平滑过渡，即无任何显著暂态行为。该最优控制框架在由3个IC接口AC和DC网络的27节点混合AC/DC电网上进行了实验验证。该混合电网承载各种可控和随机资源。
英文摘要：
This paper proposes an optimal, grid-aware control framework for the islanding, island-operation and resynchronisation of hybrid AC/DC microgrids. The optimal control framework is based on a formally derived linearized load-flow model for multiterminal hybrid AC/DC networks. The load flow model integrates the AC grid, DC grid, and interfacing converters (IC) into a unified representation. This work extends an existing load flow model to include the ICs' grid-forming operation. In traditional islanding control frameworks, the grid-forming converter is typically interfaced with an energy storage system that can provide bidirectional power to maintain the power balance. The proposed framework, however, allows the ICs to operate as the grid-forming unit while being connected to a DC grid rather than a single resource. This configuration allows for a wider operating range and, thus, a more flexible control. Furthermore, the optimal grid-aware control framework can steer the system to ensure a feasible operation without any grid constraint violations before, during, and after the islanding manoeuvre. The framework also guarantees smooth transitions, i.e., without any significant transient behaviour, when transitioning between grid-connected and islanding operations. The optimal control framework is experimentally validated on a 27-bus hybrid AC/DC network consisting of 3 ICs that interface the AC and DC networks. The hybrid grid hosts various controllable and stochastic resources.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
