Cyberphysical Infrastructures in Power Systems: Architectures and Vulnerabilities

To ensure secure and stable operations of large-scale power systems, power engineers must address the complexity of power system stability problems, along with the system's inherent uncertainties and nonlinearities. Adaptive or deep-learning algorithms can improve current control schemes to solve decision and control problems. Cyberphysical Infrastructures in Power Systems: Architectures and Vulnerabilities provides an overview of CPS concepts and infrastructures in power systems with a focus on state-of-the-art research.

Format: Paperback / softback
Length: 424 pages
Publication date: 28 October 2021
Publisher: Elsevier Science & Technology

In the face of a constantly evolving and intricate world, ensuring the secure and stable operation of large-scale power systems stands as one of the most formidable challenges confronting power engineers today. Traditionally, power system operations and decision-making in controls have relied on the computations of physical models, which aim to describe the behavior of power systems. These models, while valuable tools, are often constructed based on assumptions and simplifications, particularly in the realm of power system models. However, the complexity of power system stability problems, coupled with the inherent uncertainties and nonlinearities of these systems, can lead to models that are impractical or inaccurate. This necessitates the development of adaptive or deep-learning algorithms to significantly enhance current control schemes, enabling them to effectively address decision and control challenges.

Cyberphysical Infrastructures in Power Systems: Architectures and Vulnerabilities serves as an extensive exploration of the concepts and infrastructures of Cyberphysical Systems (CPS) within power systems. It provides a comprehensive overview of the current state-of-the-art research in this field, highlighting the existing solutions, problems, and developments in this area. Detailed classifications are pursued, providing a comprehensive framework for understanding the various aspects of CPS.

One of the key challenges in CPS is the integration of different technologies and systems, which requires the development of robust and reliable communication networks. This includes the use of sensors, actuators, and control devices that can communicate seamlessly and efficiently. Additionally, CPS must be designed to withstand potential cyber threats, such as hacking, malware, and data breaches, which can have severe consequences on the reliability and stability of power systems.

Another challenge is the development of intelligent algorithms that can learn and adapt to changing conditions in power systems. This requires the use of machine learning and deep learning techniques, which can analyze large amounts of data and make predictions based on patterns and trends. By leveraging these algorithms, CPS can improve the efficiency, reliability, and resilience of power systems, enabling them to better respond to changing demands and environmental conditions.

In conclusion, the operation of large-scale power systems in an uncertain and complex environment poses significant challenges. Traditional control schemes based on physical models may not be sufficient to address the complexity of power system stability problems, coupled with the inherent uncertainties and nonlinearities. Adaptive or deep-learning algorithms are needed to enhance current control schemes and improve decision-making in controls. Cyberphysical Infrastructures in Power Systems: Architectures and Vulnerabilities provides an extensive overview of CPS concepts and infrastructures in power systems, highlighting the current state-of-the-art research in this field. By understanding the challenges and opportunities presented by CPS, power engineers can develop innovative solutions that ensure the secure and stable operation of power systems in the future.

Weight: 676g
Dimension: 152 x 228 x 28 (mm)
ISBN-13: 9780323852616