Economic & Reliable DC Microgrids

经济的

• 批准号: EP/Y034619/1
• 负责人: Xiaowei Zhao
• 金额: $ 23.84万
• 依托单位: University of Warwick
• 依托单位国家: 英国
• 项目类别: Fellowship
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FY034619%2F1
• 关键词: Economic; Reliable; DC; Microgrids

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.

直流微电网的网络物理系统（cps）环境由具有网络能力的相互关联的代理组成，使能源资源和负载能够以增强的能力执行危险任务。为了避免系统故障和提供可扩展的cps，需要开发有效的控制和可靠的调度策略。为了利用电力缓冲器来解耦易变负荷和低惯性配电网，将开发直流微电网的分布式智能控制策略，使电力缓冲器在负荷突然变化时相互辅助。将设计一个参与者-批评者结构，其中批评者近似最优值函数，参与者学习分布式最优控制器。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，使所提出的方法特别适用于安全关键设备。此外，对攻击者建模并分析其威胁级别使代理能够使用适当的缓解机制来预见潜在的威胁情况。在此基础上，使用自我信任和信任度量来检测连接转换器的不当行为，以最大限度地减少受损数据的传播，其中使用基于信任的分布式控制器在每个转换器上计算传入信息的可信度。该项目包括严格的理论研究和广泛的验证，为应用于直流微电网的多代理cps设计弹性和高可信度的控制协议。此外，拟议的经济可靠直流微电网（ERDCM）项目管理方案将确保拟议项目的有效交付，包括研究、培训、传播和开发。项目结束后，该研究员将成为一名国际研究领袖，其研究概况、学术/国际联系和人际交往能力将大大提高。