Gaoxi Xiao – författare

New solutions for development trends in power systems in response to rising concerns with security issues Cyber-Secure Load Frequency Control for Power Systems delivers an analysis of power systems and their problems with cybersecurity in complex, crowded environments. The book investigates control approaches balancing load demand and generation, encompassing cyber-attack contamination, renewable energy fluctuation, and electric vehicle connection and integration of battery energy systems. Two perspectives are highlighted as solutions to the growing issues in power systems. The first proposes new defense methods in consideration of attack modeling and the second describes actual behavior of the attacks with new attack models. Cyber-Secure Load Frequency Control for Power Systems explores sample topics including: Security performance of MOSMLFC power systems under historical frequency-triggered DOS attacksFuzzy output sliding mode load frequency control of a power system under motion-trends-based deception attacksReliable AMD event-triggered control of wind power systems under frequency-based deception attacksObserver-based sliding mode load frequency control of power systems under deception attacksMemory-based event-triggered fault-tolerant load frequency control of multi-area power systems with electric vehiclesCyber-Secure Load Frequency Control for Power Systems is an excellent advanced resource for graduate-level students and professionals in electrical engineering and control engineering. The book is also valuable for algorithm researchers and engineers in related fields. Prerequisite knowledge includes calculus, linear algebra, and control theory.

​This book discusses cybersecurity issues of smart grid cyber-physical systems, focusing on the detection techniques against false data injection attacks. The authors discuss passive and proactive techniques that combat and mitigate two categories of false data injection attacks, false measurement data injections and false command data injections in smart grid cyber-physical systems. These techniques are easy to follow for either professionals or beginners. With this book, readers can quickly get an overview of this topic and get ideas of new solutions for false data injections in smart grid cyber-physical systems. Readers include researchers, academics, students, and professionals.Presents a comprehensive summary for the detection techniques of false data injection attacks in smart grid cyber-physical systems;Reviews false data injections for either measurement data or command data;Analyzes passive and proactive approaches to smart grid cyber-physical systems.

​This book discusses cybersecurity issues of smart grid cyber-physical systems, focusing on the detection techniques against false data injection attacks. The authors discuss passive and proactive techniques that combat and mitigate two categories of false data injection attacks, false measurement data injections and false command data injections in smart grid cyber-physical systems. These techniques are easy to follow for either professionals or beginners. With this book, readers can quickly get an overview of this topic and get ideas of new solutions for false data injections in smart grid cyber-physical systems. Readers include researchers, academics, students, and professionals.Presents a comprehensive summary for the detection techniques of false data injection attacks in smart grid cyber-physical systems;Reviews false data injections for either measurement data or command data;Analyzes passive and proactive approaches to smart grid cyber-physical systems.

This book, discusses the latest research on the intelligent control of two important components in smart grids, namely microgrids (MGs) and electric vehicles (EVs). It focuses on developing theoretical frameworks and proposing corresponding algorithms, to optimally schedule virtualized elements under different uncertainties so that the total cost of operating the microgrid or the EV charging system can be minimized and the systems maintain stabilized. With random factors in the problem formulation and corresponding designed algorithms, it provides insights into how to handle uncertainties and develop rational strategies in the operation of smart grid systems. Written by leading experts, it is a valuable resource for researchers, scientists and engineers in the field of intelligent management of future power grids.

This book, discusses the latest research on the intelligent control of two important components in smart grids, namely microgrids (MGs) and electric vehicles (EVs).

This book highlights designs, implementations and applications of tracking differentiator (TD) algorithms. The real-time differentiation estimation of a given signal is of high importance in control science and engineering. A good differentiator shall have i) robustness against input noises and ii) exactness with a small phase delay. The book has three focuses:Designing practical, accurate and efficient TD based on discrete-time optimal control (DTOC).Presenting full convergence analysis on DTOC-TDs.Implementing the DTOC-TDs in state estimations in power systems and signal processing, as well as feedback control in maglev train.The proposed TD solution and its successful real-life applications shall stimulate wide interests in different areas including power systems, railway transportations and aerospace industry, etc.

This book highlights designs, implementations and applications of tracking differentiator (TD) algorithms. The real-time differentiation estimation of a given signal is of high importance in control science and engineering. A good differentiator shall have i) robustness against input noises and ii) exactness with a small phase delay. The book has three focuses:Designing practical, accurate and efficient TD based on discrete-time optimal control (DTOC).Presenting full convergence analysis on DTOC-TDs.Implementing the DTOC-TDs in state estimations in power systems and signal processing, as well as feedback control in maglev train.The proposed TD solution and its successful real-life applications shall stimulate wide interests in different areas including power systems, railway transportations and aerospace industry, etc.

This book highlights cooperative coverage control approaches of multi-agent systems in uncertain environments and their applications in various fields. A novel theoretical formulation of multi-agent coverage is proposed to fulfill the coverage task via divide-and-conquer scheme.