Special Issues

Innovations and Challenges in Smart Grid Technologies

Submission Deadline: 30 October 2025 (closed) View: 1026 Submit to Journal

Guest Editors

Dr. Md Ohirul Qays

Email: m.akash@ecu.edu.au

Affiliation: Centre for Green and Smart Energy Systems, Edith Cowan University, Australia

Homepage:

Research Interests: Power system, smart grid, renewable energy, electric vehicle, optimization, machine learning, IoT system


Dr. Md Liton Hossain

Email: mdliton.hossain@federation.edu.au

Affiliation: Centre for New Energy Transition, Federation University, Australia

Homepage:

Research Interests: Renewable energy, IoT system, smart grid, semiconductor device


Summary

In recent industrial systems, conventional grid systems demand for network efficiency, maintenance of resources, optimal performance, energy savings, cost minimization and other requirements. However, no potential dynamical model is still available to be tractable for grid systems efficiency. Therefore, the special issue "Smart Grids" focuses on the innovations, challenges, and technological advances driving the transformation of traditional electrical grids into smart grids. These smart-grid systems integrate advanced technologies such as renewable energy sources, energy storage systems, distributed energy resources, electric vehicles, internet of things, machine learning and other innovative developments to enhance efficiency, reliability, and sustainability.


Topics of interest of this Special Issue include, but are not limited to:

· Renewable energy integration

· Distributed energy system

· Optimizing grid performance

· Energy consumption

· Grid resilience

· IoT application in smart grid

· Real-time monitoring and control procedures

· Forecasting techniques for smart grid demand

· Generative AI for grid applications

· Cybersecurity on smart grids

· Protection of smart grid infrastructures

· Electric vehicles integration

· Vehicle to grid systems

· Energy policy of smart grids


Graphic Abstract

Innovations and Challenges in Smart Grid Technologies

Keywords

Smart grid, renewable energy, electric vehicle, optimization, IoT system

Published Papers


  • Open Access

    ARTICLE

    Secure Rate Maximization for UAV-RIS-Aided IoT Network in Smart Grid

    Jian Wu, Xiaowei Hao, Chao Han
    Energy Engineering, DOI:10.32604/ee.2025.071023
    (This article belongs to the Special Issue: Innovations and Challenges in Smart Grid Technologies)
    Abstract Owing to the development of communication technologies and control systems, the integration of numerous Internet of Things (IoT) nodes into the power grid has become increasingly prevalent. These nodes are deployed to gather operational data from various distributed energy sources and monitor real-time energy consumption, thereby transforming the traditional power grid into a smart grid (SG). However, the openness of wireless communication channels introduces vulnerabilities, as it allows potential eavesdroppers to intercept sensitive information. This poses threats to the secure and efficient operation of the IoT-driven smart grid. To address these challenges, we propose a… More >

  • Open Access

    ARTICLE

    Virtual Synchronous Generator Control Strategy Based on Parameter Self-Tuning

    Jin Lin, Bin Yu, Chao Chen, Jiezhen Cai, Yifan Wu, Cunping Wang
    Energy Engineering, DOI:10.32604/ee.2025.069310
    (This article belongs to the Special Issue: Innovations and Challenges in Smart Grid Technologies)
    Abstract With the increasing integration of renewable energy, microgrids are increasingly facing stability challenges, primarily due to the lack of inherent inertia in inverter-dominated systems, which is traditionally provided by synchronous generators. To address this critical issue, Virtual Synchronous Generator (VSG) technology has emerged as a highly promising solution by emulating the inertia and damping characteristics of conventional synchronous generators. To enhance the operational efficiency of virtual synchronous generators (VSGs), this study employs small-signal modeling analysis, root locus methods, and synchronous generator power-angle characteristic analysis to comprehensively evaluate how virtual inertia and damping coefficients affect frequency… More >

  • Open Access

    ARTICLE

    Energy Optimization Strategy for Reconfigurable Distribution Network with High Renewable Penetration Based on Bald Eagle Search Algorithm

    Jian Wang, Hui Qi, Lingyi Ji, Zhengya Tang, Hui Qian
    Energy Engineering, Vol.122, No.11, pp. 4635-4651, 2025, DOI:10.32604/ee.2025.068667
    (This article belongs to the Special Issue: Innovations and Challenges in Smart Grid Technologies)
    Abstract This paper proposes a cost-optimal energy management strategy for reconfigurable distribution networks with high penetration of renewable generation. The proposed strategy accounts for renewable generation costs, maintenance and operating expenses of energy storage systems, diesel generator operational costs, typical daily load profiles, and power balance constraints. A penalty term for power backflow is incorporated into the objective function to discourage undesirable reverse flows. The Bald Eagle Search (BES) meta-heuristic is adopted to solve the resulting constrained optimization problem. Numerical simulations under multiple load scenarios demonstrate that the proposed method effectively reduces operating cost while preventing More >

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