Zhe Chen

Modular Multilevel Converters Expert discussions of cutting-edge methods used in MMC control, protection, and fault detection In Modular Multilevel Converters: Control, Fault Detection, and Protection, a team of distinguished researchers delivers a comprehensive discussion of fault detection, protection, and tolerant control of modular multilevel converters (MMCs) under internal and external faults. Beginning with a description of the configuration of MMCs, their operation principles, modulation schemes, mathematical models, and component design, the authors go on to explore output control, fault detection, capacitor monitoring, and other topics of central importance in the field. The book offers summaries of centralized capacitor voltage-balancing control methods and presents several capacitor monitoring methods, like the direct and sorting-based techniques. It also describes full-bridge and half-bridge submodule-based hybrid MMC protection methods and alternative fault blocking SM-based MMCs. Readers will also find: A thorough introduction to modular multilevel converters, including circuits, operation principles, modulation, mathematical models, components, and design constraintsIn-depth discussions of the control of modular multilevel converters, including output control, centralized capacitor voltage control, and individual capacitor voltage controlComprehensive explorations of fault detection of MMCs under IGBT faults, including short-circuit and open-circuit faults, as well as fault-tolerant control of MMCs Fulsome treatments of the control of MMCs under AC grid faults, including discussions of AC-side current control Perfect for electrical engineering researchers, Modular Multilevel Converters: Control, Fault Detection, and Protection, will also earn a place in the libraries of electrical engineers working in industry, as well as undergraduate and graduate students with an interest in MMCs.

Hybrid AC/DC Microgrids: Optimization, Energy Management, and Protection, a new release in the Advances in Sustainable Microgrid Technologies series, offers a comprehensive exploration of modern microgrid technologies, focusing on the integration of alternating and direct current systems. This book serves as a practical guide for foundational principles and advanced applications, addressing the complexities of design, operation, and management. By examining energy generation methods such as wind, solar, and hydrogen, the text prepares readers for real-world challenges. Detailed case studies, hands-on objectives, and worked problems foster practical learning, making this resource invaluable for students, researchers, and industry engineers invested in sustainable energy solutions. The book not only covers power management and quality control, but also delves into risk assessment and resilience strategies for microgrids. It highlights advanced modeling techniques, fault detection, and protection using both physical and artificial intelligence methods. Guidance is provided for grid protection in normal and abnormal conditions, emphasizing the need to maintain reliable energy systems amid climate change. Clear formatting, including objectives and case studies, enhances comprehension and application.

The rise of high-stakes testing in New York and across the nation has narrowed and simplified what is taught, while becoming central to the effort to privatize public schools. However, it and similar reform efforts have met resistance, with New York as the exemplar for how to repel standardized testing and invasive data collection, such as inBloom. In New York, the two parent/teacher organizations that have been most effective are Long Island Opt Out and New York State Allies for Public Education. Over the last four years, they and other groups have focused on having parents refuse to submit their children to the testing regime, arguing that if students don’t take the tests, the results are’t usable. The opt-out movement has been so successful that 20% of students statewide and 50% of students on Long Island refused to take tests. In Opting Out, two parent leaders of the opt-out movement—Jeanette Deutermann and Lisa Rudley—tell why and how they became activists in the two organizations. The story of parents, students, and teachers resisting not only high-stakes testing but also privatization and other corporate reforms parallels the rise of teachers across the country going on strike to demand increases in school funding and teacher salaries. Both the success of the opt-out movement and teacher strikes reflect the rise of grassroots organizing using social media to influence policy makers at the local, state, and national levels.

The rise of high-stakes testing in New York and across the nation has narrowed and simplified what is taught, while becoming central to the effort to privatize public schools. However, it and similar reform efforts have met resistance, with New York as the exemplar for how to repel standardized testing and invasive data collection, such as inBloom. In New York, the two parent/teacher organizations that have been most effective are Long Island Opt Out and New York State Allies for Public Education. Over the last four years, they and other groups have focused on having parents refuse to submit their children to the testing regime, arguing that if students don’t take the tests, the results are’t usable. The opt-out movement has been so successful that 20% of students statewide and 50% of students on Long Island refused to take tests. In Opting Out, two parent leaders of the opt-out movement—Jeanette Deutermann and Lisa Rudley—tell why and how they became activists in the two organizations. The story of parents, students, and teachers resisting not only high-stakes testing but also privatization and other corporate reforms parallels the rise of teachers across the country going on strike to demand increases in school funding and teacher salaries. Both the success of the opt-out movement and teacher strikes reflect the rise of grassroots organizing using social media to influence policy makers at the local, state, and national levels.

Wind energy is now the world's fastest growing energy source. In the past 10 years, the global wind energy capacity has increased rapidly. The installed global wind power capacity has grown to 47.317 GW from about 3.5 GW in 1994. The global wind power industry installed 7976 MW in 2004, an increase in total installed generating capacity of 20%. The phenomenal growth in the wind energy industry can be attributed to the concerns to the environmental issues, and research and development of innovative cost-reducing technologies. Denmark is a leading producer of wind turbines in the world, with an almost 40% share of the total worldwide production. The wind energy industry is a giant contributor to the Danish economy. In Denmark, the 3117 MW (in 2004) wind power is supplied by approximately 5500 wind turbines. Individuals and cooperatives own around 80% of the capacity. Denmark will increase the percentage of energy produced from wind to 25% by 2008, and aims for a 50% wind share of energyproduction by 2025. Wind technology has improved significantly over the past two decades, and almost all of the aspects related to the wind energy technology are still under active research and development. However, this monograph will introduce some basics of the electrical and power electronic aspects involved with modern wind generation systems, including modern power electronics and converters, electric generation and conversion systems for both fixed speed and variable speed systems, control techniques for wind turbines, configurations of wind farms, and the issues of integrating wind turbines into power systems. P

Correlative Learning: A Basis for Brain and Adaptive Systems provides a bridge between three disciplines: computational neuroscience, neural networks, and signal processing. First, the authors lay down the preliminary neuroscience background for engineers. The book also presents an overview of the role of correlation in the human brain as well as in the adaptive signal processing world; unifies many well-established synaptic adaptations (learning) rules within the correlation-based learning framework, focusing on a particular correlative learning paradigm, ALOPEX; and presents case studies that illustrate how to use different computational tools and ALOPEX to help readers understand certain brain functions or fit specific engineering applications.