Public Governance of Smart Grid Implementation in Urban Energy Infrastructure

The relevance of the study is determined by the urgent need to develop institutionally sustainable and governance-effective models for Smart Grid implementation and operation in the context of the digital transformation of energy systems, taking into account regulatory stratification, cognitive adaptability, and regulatory interoperability as vectors of sustainable energy governance. The aim is to formalize and metrically verify an optimized Smart Grid governance model grounded in global best practices, regulatory resilience, and sustainability-oriented performance indicators. The research methodology encompassed critical analysis of international experience, hypothesis formation, typological classification of governance architectures, metric-based performance assessment, SWOT analysis, UML formalization, and comparative metric validation. The study empirically confirmed the hypothesis on the predictive impact of institutional modular optimization on the sustainability and operational effectiveness of Smart Grid digitalization in the public sector. The validated governance model contributed to an increase in the Institutional Performance Index (+18.7%), Compliance Ratio (0.97), Resilience Compliance Rate (0.92), and a reduction in Time-to-Policy-Adoption (−22.5%), substantiating the systemic advantage of integrative governance redesign over fragmented strategies. The academic novelty of the research lies in the first metric assessment of governance model influence on Smart Grid performance in the public sector, as well as in the application of stratified IDI, RSR, and CIC metrics for normative-cognitive validation of sustainability-aligned governance adaptability.

The proposed model aligns with and promotes the achievement of SDG 7 (Affordable and Clean Energy) and SDG 11 (Sustainable Cities and Communities) by enhancing energy efficiency, resilience of energy infrastructure, and digital inclusivity within the sustainable governance of urban energy systems. The model contributes to ecological sustainability by reducing transformation losses and supporting innovation-driven energy optimization; to economic sustainability by increasing institutional efficiency and scalability; and to social sustainability by advancing inclusiveness and equitable access to digital energy services. Further research directions include the design of a normatively guided pilot project aimed at empirical validation of the sustainable institutional architecture, focusing on cognitive adaptability, metric resilience, and long-term alignment with the principles of sustainable development.