The rapid integration of renewable energy sources (RES) such as solar PV, wind energy, and hybrid distributed generation into modern power systems has significantly transformed grid operation and control. While renewable penetration supports sustainability goals, it introduces critical challenges related to power quality degradation, voltage and frequency instability, reduced system inertia, and complex power management under dynamic and uncertain operating conditions.

This Methods Collection aims to address these challenges by focusing on advanced power electronic interfaces, intelligent control strategies, and AI-based solutions for renewable-integrated power systems. Emphasis is placed on power quality (PQ) improvement, stability enhancement, and optimal energy and power management in grid-connected and islanded microgrids.

The collection will serve as a multidisciplinary platform bringing together recent advancements in custom power devices, multilevel converters, fractional-order and adaptive controllers, energy storage coordination, and AI-driven optimization techniques, contributing to the development of smart, resilient, and autonomous power networks.

Relevant topics include, but are not limited to:

·      Renewable energy integrated power systems and microgrids

·      Load frequency control in a deregulated power system with renewable integration

·      Power quality issues and mitigation techniques in RES-based grids

·      Custom power devices (UPQC, DVR, DSTATCOM, SAPF) for PQ enhancement

·      Stability analysis of renewable-dominated and converter-based power systems

·      Grid-forming and grid-following inverter control strategies

·      Multilevel and advanced power electronic converters

·      Fractional-order, adaptive, and robust control techniques

·      AI-based power quality disturbance detection and classification

·      Intelligent energy management systems using ML, DL, and reinforcement learning

·      Optimization algorithms for controller tuning and power management

·      Energy storage systems and hybrid storage coordination

·      EV-integrated power systems and V2G applications

·      Smart grid technologies and cyber-physical power systems

·      Fault diagnosis and predictive maintenance using AI

Overall, the proposed collection aims to present innovative methodologies, practical implementations, and future research directions that contribute to the development of smart, stable, and power-quality-aware renewable energy systems, supporting the transition toward sustainable and intelligent electric grids.