Revolutionizing IBR Asset Management, Plant Model Development and Testing, and Compliance Across the Asset Lifecycle

IBR plant information create operational inefficiencies, regulatory compliance risks, and reliability concerns. Recent industry alerts and reports have highlighted challenges such as inaccessible IBR plant data, incomplete or outdated documentation, inconsistent handoffs among parties, and model misalignments that distort reliability studies and contribute to interconnection delays. At the same time, evolving technical requirements for IBR plants have increased both the volume and specificity of evidence expected from IBR owners.

This paper presents a novel, lifecycle-based framework for IBR asset management. The framework begins with auto-tagged file intake of IBR plant artifacts (e.g., design drawings, asleft settings, controller configurations, models, test reports) to create a living IBR plant profile expressed as structured, machine-readable objects. Field-level provenance and trust scoring are maintained for each attribute, enabling requirement mapping, grid code compliance testing, and reporting. The framework integrates automated model quality and performance testing across multiple simulation domains, supported by a human-in-the-loop engineering review layer.

Case studies illustrate the capabilities and improvements that the framework can deliver when commercialized. The paper concludes with a product vision roadmap, informed by experience working with large IBR developers and owner/operators, to further strengthen IBR plant asset management across the project lifecycle.