Economic & Reliable DC Microgrids

DC微电网的网络物理系统（CPS）环境由配备网络功能的相互关联的代理组成，使能源和负载能够执行具有增强功能的危险任务。因此，需要为CPS开发有效的控制和可靠的调度策略，以防止系统故障并提供可扩展的CPS。为了采用功率缓冲器来解耦易变负载和低惯性配电网络，将开发用于DC微电网的分布式智能控制策略，以使功率缓冲器能够在负载突变期间相互协助。一个行动者-评论家结构将被设计与评论家近似的最优值函数和行动者学习的分布式最优控制器。由此产生的控制律可以在线优化，并在每次负载变化时触发，使得所提出的方法特别适合于安全关键设备。此外，建模对手和分析他们的威胁级别授权代理与适当的缓解机制，以预见潜在的威胁情况。在此基础上，连接的转换器的不当行为检测使用自我信念和信任度量，以最大限度地减少受损数据的传播，其中传入信息的可信度计算在每个转换器与基于信任的分布式控制器。该项目包括严格的理论研究和广泛的验证设计弹性和高置信度的控制协议的多智能体CPS与直流微电网的应用。此外，拟议的经济可靠直流微电网（ERDCM）项目管理计划将确保拟议项目的有效交付，包括研究、培训、传播和开发。在这个项目结束时，研究员将成为一个国际研究领导者，研究概况，学术/国际联系，以及人际交往能力大大增强。

Cyber-physical systems (CPSs) environment for DC microgrids, composed of interrelated agents equipped with cyber capabilities, have enabled energy resources and loads to perform dangerous tasks with augmented capabilities. It is desired to develop efficient control and reliable scheduling strategies for CPSs to obviate system failures and provide scalable CPSs. To employ power buffers to decouple volatile loads and a low-inertia distribution network, distributed intelligent control policies for DC microgrids will be developed to enable power buffers to assist each other during abrupt load changes reciprocally. An actor-critic structure will be designed with critics approximating the optimal value function and actors learning the distributed optimal controller. The resulting control law can be optimized online and triggered at each load change, making the proposed approach particularly suitable for safety-critical devices. Furthermore, modeling adversaries and analyzing their threat levels empower agents with appropriate mitigation mechanisms to foresee potential threatening circumstances. On this basis, the misbehaviour of connected converters is detected using self-belief and trust metrics to minimize the propagation of compromised data, where the trustworthiness of incoming information is calculated at each converter with a trust-based distributed controller. This project includes rigorous theoretical studies and extensive verifications on designing resilient and high-confidence control protocols for multi-agent CPSs with applications to DC microgrids. In addition, the proposed Economic and Reliable DC Microgrid (ERDCM) project management scheme will ensure efficient delivery of the proposed project, including research, training, dissemination, and exploitation. At the end of this project, the Fellow will become an international research leader with research profiles, academic/international links, and interpersonal skills largely enhanced.