Cybersecurity Issues in Smart Grids and Future Power Systems

• Format: eBook
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Subjects: Film, TV & radio; augmented reality; Bayesian optimization; Cauchy mutation; communication wireless network; computer networks; convolution neural network; convolutional neural network; cyber attack; cyber security; cyber security for smart cities; cyber threat intelligence; cyberattacks; cybersecurity; deep learning; differential evolution; electricity theft detection; ensemble learning; explainable AI; fractal analysis; fractal dimension; Hurst exponent; Internet of Things; internet security; intrusion detection; Levenberg-Marquardt backpropagation; machine learning; malicious URLs; malware detection; malware visualization; man-in-the-middle (MITM) attack; Max-Min Ant Colony Optimization; modular multilevel converter; network intrusion detection system (NIDS); network traffic; path planning; protection sensor; robustness; scaling exponent; signal detection; smart city; smart grid; smart grids; smart meters; systematic literature review; time series; Tomek links; transfer learning; transformer neural network
• Online Access: Open Access: DOAB: description of the publication; Open Access: DOAB, download the publication
• Physical Description: 1 online resource (242 p.)
• ISBN: 9783036594101; 9783036594118; books978-3-0365-9411-8
• Access: Open Access

There has been an increased interest in renewable energy sources in the last few decades. Modern power systems rely mainly on power electronic-based generation and loads, leading to the adoption of smart grids that leverage digital communication infrastructure. Smart grids have several advantages, including the potential to provide consumers with a continuous power supply, reduced line losses, enhanced renewable output and storage, consumer participation in electricity markets, and demand-side responsiveness. Future power systems, also known as smart grids, will rely more on renewable energy sources, such as solar and wind, as well as storage. Power electronic converters are used in renewable energy generation and storage. Each converter/inverter manufacturer has an algorithm for programming and optimizing hardware. Furthermore, these converters rely on communication protocols to respond to any signal from the system operator. As a result, cyber-attacks on these smart converters/inverters are a concern. Although numerous cyber-physical systems (CPS) have been presented, no universal CPS standard can be employed with various types of converters. This reprint is a collection of specialized work addressing cybersecurity challenges.