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.

由配备网络功能的相互关联试剂组成的直流微电网的网络物理系统（CPSS）环境，使能源资源和负载能够通过增强功能执行危险的任务。希望为CPS制定有效的控制和可靠的调度策略，以消除系统故障并提供可扩展的CPS。要使用电源缓冲区解除挥发性负载和低惯性分配网络，将开发出针对DC微电网的分布式智能控制策略，以使功率缓冲区能够在突然的负载变化中相互交流。 Actor-Critic结构将以批评家的方式设计，该批评者近似于最佳价值函数，并学习分布式最佳控制器的参与者。可以在线优化所得的控制法，并在每次负载更改中触发，这使得提出的方法特别适合安全至关重要的设备。此外，对对手进行建模并分析其威胁水平，以适当的缓解机制预测潜在威胁情况。在此基础上，使用自信和信任指标检测到连接转换器的不当行为，以最大程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出传入信息的可信度。该项目包括严格的理论研究以及针对与DC微电网应用的多代理CPS设计弹性和高信心控制方案的广泛验证。此外，拟议的经济和可靠的DC微电网（ERDCM）项目管理计划将确保有效地交付拟议项目，包括研究，培训，传播和剥削。在该项目结束时，该研究员将成为国际研究领袖，具有研究资料，学术/国际联系和人际交往能力，在很大程度上得到了增强。