From Renewable Energy Integration to Grid Resilience in Libya: A Critical Comparative Review of Grid-Forming Inverters, Energy Storage, and AI-Based Control

Abstract

The transition toward renewable-rich power systems is reshaping conventional approaches to grid stability, flexibility, and resilience, particularly as solar photovoltaic and wind generation increase the share of inverter-based resources. This study presents a systematic critical comparative review of three enabling technologies—Grid-Forming Inverters (GFM), Energy Storage Systems (ESS), and Artificial Intelligence (AI)-based control—and evaluates their potential contribution to renewable energy integration and grid resilience, with particular emphasis on the Libyan power system. The review integrates systematic evidence identification, thematic synthesis, critical evaluation, and comparative technological assessment to examine frequency stability, voltage support, virtual inertia, renewable smoothing, flexibility, black-start capability, weak-grid suitability, implementation complexity, data dependency, and cybersecurity. The comparative synthesis demonstrates that no single technology can independently address the multidimensional challenges of renewable-rich weak grids. GFM provides voltage- and frequency-forming capabilities and dynamic stability support; ESS supplies controllable energy, fast flexibility, reserves, and renewable smoothing; while AI enables forecasting, optimization, adaptive coordination, fault detection, and intelligent energy management. However, each technology also presents important limitations related to converter current constraints, storage degradation and cost, or AI explainability, data quality, and cybersecurity. The study therefore proposes a GFM–ESS–AI Integrated Resilience Framework for Libya, in which these technologies operate as complementary layers rather than competing alternatives. The review concludes that Libya's renewable transition should move beyond maximizing installed renewable capacity toward strengthening secure renewable hosting capability through staged integration of physical flexibility, grid-forming stability, and intelligent coordination. The proposed framework provides a foundation for future simulation, techno-economic assessment, experimental validation, and pilot-scale deployment.