Transparent management and control of equipment risks in new power systems: theoretical framework, technical system, and implementation path

Abstract

Driven by the "dual carbon" goals, a new power system with new energy as the mainstay is accelerating its evolution. Its "dual high" characteristics and source-load uncertainties pose unprecedented systemic risk challenges to the safe operation of the power grid. Traditional equipment risk management models, which are primarily based on passive response, empirical judgment, and local closed-loop control, have inherent limitations in terms of the breadth and depth of risk perception, as well as the agility and coordination of control. These models struggle to manage the complex risk transmission and coupling effects in the new system. From the perspective of the national energy security strategy, this paper proposes and systematically constructs a new paradigm for transparent management and control of equipment risks in the new power system. This paradigm is centered around the core principles of "data-driven, panoramic insight, collaborative defense, and responsibility penetration". It innovatively proposes a "four-stage progression-dual-wheel drive" theoretical logic model, which follows a progressive closed-loop process of "comprehensive perception-precise research and judgment-systematic deployment-transparent supervision", and relies on the dual-wheel collaborative drive of "management system reconstruction" and "digital technology empowerment". At the methodological level, it pioneers a "three-total and five-domain" risk precision analysis mechanism and a "human-object-management-environment" all element collaborative deployment model, achieving a paradigm shift from static checklist management to dynamic correlation deduction, and from single-point passive handling to global active immunity. In terms of practical implementation, a complete set of engineering systems is designed, with "equipment operation scheme as the overall focus, serialized management inventory as the carrier, and unified intelligent platform as the nerve center". Finally, this paper deeply analyzes the multidimensional challenges in organizational collaboration, data governance, technology integration, and security ethics during the paradigm transformation, and proposes a systematic implementation path and countermeasure suggestions of "strategy traction, scenario breakthrough, iterative evolution, and ecological coconstruction". This study not only provides a complete theoretical framework and solution for the power industry to build a modern equipment risk management system, but also contributes a valuable theoretical and practical paradigm for the digital transformation of risk governance in the critical infrastructure field.