New Challenges and Solutions to Improve Energy and Computational Efficiency in Smart Grids

Dear Colleagues,

Smart grids represent a critical component of our modern power systems, integrating advanced technologies to optimize power generation, transmission and consumption. However, as smart grids continue to transform the power and energy landscape, energy and computational efficiency becomes an ongoing challenge. With higher integration of renewable energy sources and end-use electrifications, managing their intermittent nature becomes a challenge. Smart grids are also vulnerable to extreme events and cyberattacks, which can disrupt energy supply and compromise data integrity. In addition, smart grids generate vast amounts of data from various sensors and devices, and the efficiency of data collection, storage, processing, and analysis is essential for optimizing grid operation. Therefore, innovative solutions are required to address the above complexities for improving energy and computational efficiency in smart grids. 

This Special Issue on ‘New Challenges and Solutions to Improve Energy and Computational Efficiency in Smart Grids’ calls for state-of-the-art works on this promising research area, which aims to explore the latest challenges, innovations, and solutions in the quest to enhance both energy and computational efficiency within smart grids. This Special Issue invites researchers, engineers, and industrial practitioners to submit original research and review articles that shed light on, but are not limited to, the following topics:

• Innovations in grid control and smart grid technology, including model-based optimization and model-free learning-based algorithm to improve decision making and computational efficiency;
• Novel approaches for improving data collection and communication with advanced metering infrastructure to enhance energy monitoring and management;
• Strategies for integrating distributed energy resources to optimize energy efficiency and grid stability, including renewable energy resources, inverter-based resources, energy storage systems, microgrids, and demand-side management;
• Assessments of the impact of end-use electrification on energy efficiency in smart grids and proposals for improvements, including transportation and building electrifications;
• Methods for enhancing resilience of smart grid systems against extreme events while ensuring energy efficiency;
• Methods for enhancing resilience of smart grid systems against cyber threats while ensuring computational efficiency.

Dr. Qianzhi Zhang
Prof. Dr. Yujian Ye
Dr. Chong Wang
Prof. Dr. Dan Wu
Dr. Chunyu Chen
Guest Editors

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