Renewable Energy Integration in Emerging Electricity Grids: Technologies, Challenges, and System-Level Perspectives

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Authors: Paolo Di Leo, Gabriele Malgaroli, Filippo Spertino, Alessandro Ciocia
Cited by: 3
References: 70

Abstract

The rapid growth of renewable energy is driving a profound transformation of electricity grids toward architectures characterized by high shares of inverter-based generation, increased decentralization, and extensive digitalization. While wind and solar technologies have matured at the component level, their large-scale integration introduces technical, operational, and institutional challenges that extend beyond conventional power-system design paradigms. This review provides an integrated synthesis of the technologies, control strategies, and management processes that enable renewable energy integration into emerging electricity grids. Key challenges are analyzed across multiple timescales: fast frequency and voltage dynamics in low-inertia systems (milliseconds to seconds), forecasting, optimization, and automated control (real-time to near-real-time), and long-term planning of transmission, storage, and flexibility resources (years to decades). The synthesis covers grid-forming and grid-following inverter control, with quantitative comparison across short-circuit-ratio regimes; HVDC and HVAC transmission technologies; energy storage systems, including emerging electrochemical and mechanical solutions; smart-grid digitalization through EMS, SCADA, and digital twins; artificial intelligence and machine-learning deployments at major transmission system operators; sector coupling involving hydrogen and carbon capture; and cybersecurity considerations. Real-world case studies are used to illustrate practical lessons, with explicit attention to the brownfield–greenfield distinction between modernization of legacy systems and the design of new networks in developing regions. The review concludes by identifying key research and development priorities for achieving reliable, resilient, and economically efficient high-renewable energy systems.

Fields of Study & Subjects

Microgrid Control and Optimization Hybrid Renewable Energy Systems Integrated Energy Systems Optimization

Publication details

Journal / source
Applied Sciences
Publisher
MDPI AG
Volume
16
Issue
10
Pages
5124–5124
Publication date
21 May 2026
Language
EN