DYNAMIC TRUST EVALUATION AND RISK CONTROL TECHNOLOGY FOR BOUNDARIES OF NOVEL POWER SYSTEMS

Abstract

Against the backdrop of the full advancement of the "dual carbon" strategy, the new power system has gradually formed an operation pattern featuring multi-stakeholder collaboration across source, grid, load and storage. With the ubiquitous access of massive distributed terminals and the open, interconnected network architecture, the traditional static security protection mode can no longer cope with the increasingly complex cybersecurity risks. Targeting practical problems such as blurred power protection boundaries, rapid risk propagation, lagging static rule-based defense and single disposal methods, this paper proposes an integrated security protection scheme combining dynamic trust evaluation and grayscale risk control. Based on multi-dimensional features, a quantitative trust evaluation system is constructed, and a layered grayscale disposal strategy is designed tailored to business scenarios. The full-link system covering data collection, transmission, intelligent analysis, decision issuance and closed-loop optimization is built, and core modules including subject-object identification, trust assessment and intelligent risk control are deeply designed and engineered. Verified by multiple sets of simulation experiments, the system achieves millisecond-level risk identification and policy response, and significantly improves boundary security protection capabilities while ensuring continuous operation of power businesses. It can provide feasible technical ideas and engineering references for the construction of cybersecurity systems for new power systems.