Innovative Solutions for Sustainable Energy and Power Quality Enhancement in Smart Grids

Special Issue Editors

Lead Guest Editor

V B Murali Krishna

Department of Electrical Engineering, DSIR-CRTDH Lab, National Institute of Technology Andhra Pradesh, Tadepalligudem, India.

Email: muralikrishna.cuk@gmail.com & muralikrishna@nitandhra.ac.in

Co- Guest Editors

Rene Prenc

Department of Electric Power Systems, University in Rijeka, Croatia.

Email: rene.prenc@riteh.uniri.hr

Benjamín Jesús González Díaz

Department of Ingeniería Industrial, Universidad de La Laguna, Santa Cruz de Tenerife, Spain.

Email: bgdiaz@ull.es

 

Special Issue Information

The global shift toward sustainable and decarbonized energy systems has intensified the deployment of renewable energy sources such as solar, wind, hydrogen, and bioenergy. However, their large-scale integration into power systems introduces significant challenges related to power quality, system stability, and grid resilience. Emerging technologies, especially in power electronics, intelligent control systems, and data-driven decision-making—are now vital to managing these complexities.

This special issue focuses on state-of-the-art innovations that enhance power quality and operational efficiency in renewable-rich power systems. It will feature contributions that leverage machine learning techniques for renewable energy data analysis, forecasting, anomaly detection, and energy optimization. The issue will also explore the growing role of electric vehicles (EVs) as dynamic grid assets, addressing challenges related to bidirectional power flow, EV charging infrastructure, and vehicle-to-grid (V2G) technologies.

By integrating interdisciplinary perspectives from electrical engineering, artificial intelligence, and energy policy, this special issue aims to provide a comprehensive platform for advancing intelligent, resilient, and clean energy systems for the future. Key areas of interest include smart grid architectures, AI-enabled predictive maintenance, hybrid energy storage systems, grid-connected converters, FACTS devices, microgrids, and real-time energy management strategies for development of smart cities. The special issue welcomes both theoretical models and practical implementations that demonstrate measurable improvements in power quality, reliability, and sustainability.

Keywords: 

Power Quality, Renewable energy integration, smart grids, power quality, electric vehicles, machine learning and smart cities.

Scope (But not limited to):

This special issue invites original research articles, comprehensive reviews, and case studies focused on:

  • Power quality challenges in high-penetration renewable energy systems
  • Grid synchronization of solar PV, wind, and hybrid systems
  • Hydrogen and fuel-cell-based energy conversion systems
  • Optimal sizing and placement of distributed renewable generators
  • Machine learning and deep learning models for renewable energy forecasting
  • AI for power quality monitoring and control
  • Data-driven fault diagnosis in renewable energy systems
  • Predictive analytics for renewable energy asset maintenance
  • Power quality impact of EV charging stations
  • Smart EV charging strategies for grid stability
  • Bidirectional converters and Vehicle-to-Grid (V2G) systems
  • Integration of EVs with renewable-powered microgrids
  • Active and passive filters for harmonic mitigation
  • Design of custom power devices (DVR, STATCOM, UPQC)
  • Adaptive control strategies for voltage and frequency stability
  • Energy storage management in renewable microgrids
  • Cybersecurity and communication protocols for smart energy systems
  • Case studies on real-world implementation of AI in power systems
  • Experimental validation of smart converters and EV-grid interactions
  • IoT and digital twin frameworks for energy system monitoring

 

Submission Deadline: July 1st 2026