🤖 AI Summary
High penetration of distributed energy resources (DERs) exacerbates grid resilience deficiencies while concurrently increasing cybersecurity vulnerabilities.
Method: This study proposes a trusted Internet-of-Things (IoT)-enabled local electricity market framework. It innovatively integrates quantitative IoT device trust modeling with local market mechanisms, establishing a collaborative architecture supporting distributed situational awareness, dynamic trust evaluation, and decentralized autonomous decision-making. End-to-end closed-loop validation is conducted via hardware-in-the-loop (HIL) and high-fidelity hybrid simulation.
Contribution/Results: The framework enables localized, resilient responses under diverse cyberattacks—achieving autonomous resource dispatch and fault mitigation without reliance on the main grid. It significantly reduces main-grid control burden, improves energy utilization efficiency, and enhances system security. By unifying trust-aware IoT coordination with local market operations, it delivers a practical, implementable pathway toward resilient, self-governing next-generation power systems.
📝 Abstract
The electricity grid has evolved from a physical system to a cyber-physical system with digital devices that perform measurement, control, communication, computation, and actuation. The increased penetration of distributed energy resources (DERs) including renewable generation, flexible loads, and storage provides extraordinary opportunities for improvements in efficiency and sustainability. However, they can introduce new vulnerabilities in the form of cyberattacks, which can cause significant challenges in ensuring grid resilience. We propose a framework in this paper for achieving grid resilience through suitably coordinated assets including a network of Internet of Things (IoT) devices. A local electricity market is proposed to identify trustable assets and carry out this coordination. Situational Awareness (SA) of locally available DERs with the ability to inject power or reduce consumption is enabled by the market, together with a monitoring procedure for their trustability and commitment. With this SA, we show that a variety of cyberattacks can be mitigated using local trustable resources without stressing the bulk grid. Multiple demonstrations are carried out using a high-fidelity co-simulation platform, real-time hardware-in-the-loop validation, and a utility-friendly simulator.