Large Scale Wind Power Grid Integration: Technological and Regulatory Issues presents engineers with detailed solutions on the challenges of integrating and transmitting electricity generated from high power wind installations, covering all of the standard engineering issues associated with high power wind generation. The book includes detailed case studies from eight wind power bases in China, providing important insights for engineers in countries that are seeking to develop large-scale wind power farms. Also discussed is the emergence of 10 GW-level wind power bases that are now operational in China and those that are planned for offshore construction in Europe, the U.S., and other places in the world. China's leadership in Large-scale wind power bases with capacities over 1 GW (which already account for approximately 70%-80% of the total installed capacity in China) means that globally, engineers who are challenged with developing large-scale wind power installations can gain access to the experiences of Chinese engineers in this important technology. - Presents the first book to extensively introduce the technique of 10-GW wind power base - Discusses the technology of large-scale wind power delivery and consumption, including the analysis, simulation and calculation of wind power delivery capacity, system stabilization and control, wind power prediction and forecasting, peak load and frequency regulation of power generation - Introduces the background policy related to large-scale wind power delivery and the consumption plan, investigation of the present wind power policies around the world and the executive plan for the Jiuquan 10-GW wind power base
The scope of this book covers the modeling and forecast of renewable energy and operation and planning of power system with renewable energy integration.The first part presents mathematical theories of stochastic mathematics; the second presents modeling and analytic techniques for renewable energy generation; the third provides solutions on how to handle the uncertainty of renewable energy in power system operation. It includes advanced stochastic unit commitment models to acquire the optimal generation schedule under uncertainty, efficient algorithms to calculate the probabilistic power, and an efficient operation strategy for renewable power plants participating in electricity markets.
This book aims to make the best use of fine-grained smart meter data to process and translate them into actual information and incorporated into consumer behavior modeling and distribution system operations. It begins with an overview of recent developments in smart meter data analytics. Since data management is the basis of further smart meter data analytics and its applications, three issues on data management, i.e., data compression, anomaly detection, and data generation, are subsequently studied. The following works try to model complex consumer behavior. Specific works include load profiling, pattern recognition, personalized price design, socio-demographic information identification, and household behavior coding. On this basis, the book extends consumer behavior in spatial and temporal scale. Works such as consumer aggregation, individual load forecasting, and aggregated load forecasting are introduced. We hope this book can inspire readers to define new problems, apply novel methods, and obtain interesting results with massive smart meter data or even other monitoring data in the power systems.
This book is a product of over ten years of work. It addresses intermarriage circles, transformations of customs, the rise and fall supernatural forces, power relations among gods, ghosts and people in “synchronic communities,” and tongxiangtongye (same hometown, same industry) economies based on rural sociocultural networks in the author’s native Sun Village in Putian. The author explores the details of microhistory by examining changes and continuities in everyday life to show the grand through the minute. This exciting book possesses important theoretical significance, including reflections on binary frameworks such as state vs. society and tradition vs. modernity or revolution, along with new arguments about commonly used concepts such as “the cultural nexus of power” and “the hollowing-out of the rural.”
Large Scale Wind Power Grid Integration: Technological and Regulatory Issues presents engineers with detailed solutions on the challenges of integrating and transmitting electricity generated from high power wind installations, covering all of the standard engineering issues associated with high power wind generation. The book includes detailed case studies from eight wind power bases in China, providing important insights for engineers in countries that are seeking to develop large-scale wind power farms. Also discussed is the emergence of 10 GW-level wind power bases that are now operational in China and those that are planned for offshore construction in Europe, the U.S., and other places in the world. China's leadership in Large-scale wind power bases with capacities over 1 GW (which already account for approximately 70%-80% of the total installed capacity in China) means that globally, engineers who are challenged with developing large-scale wind power installations can gain access to the experiences of Chinese engineers in this important technology. - Presents the first book to extensively introduce the technique of 10-GW wind power base - Discusses the technology of large-scale wind power delivery and consumption, including the analysis, simulation and calculation of wind power delivery capacity, system stabilization and control, wind power prediction and forecasting, peak load and frequency regulation of power generation - Introduces the background policy related to large-scale wind power delivery and the consumption plan, investigation of the present wind power policies around the world and the executive plan for the Jiuquan 10-GW wind power base
This book aims to make the best use of fine-grained smart meter data to process and translate them into actual information and incorporated into consumer behavior modeling and distribution system operations. It begins with an overview of recent developments in smart meter data analytics. Since data management is the basis of further smart meter data analytics and its applications, three issues on data management, i.e., data compression, anomaly detection, and data generation, are subsequently studied. The following works try to model complex consumer behavior. Specific works include load profiling, pattern recognition, personalized price design, socio-demographic information identification, and household behavior coding. On this basis, the book extends consumer behavior in spatial and temporal scale. Works such as consumer aggregation, individual load forecasting, and aggregated load forecasting are introduced. We hope this book can inspire readers to define new problems, apply novel methods, and obtain interesting results with massive smart meter data or even other monitoring data in the power systems.
The scope of this book covers the modeling and forecast of renewable energy and operation and planning of power system with renewable energy integration.The first part presents mathematical theories of stochastic mathematics; the second presents modeling and analytic techniques for renewable energy generation; the third provides solutions on how to handle the uncertainty of renewable energy in power system operation. It includes advanced stochastic unit commitment models to acquire the optimal generation schedule under uncertainty, efficient algorithms to calculate the probabilistic power, and an efficient operation strategy for renewable power plants participating in electricity markets.
This will help us customize your experience to showcase the most relevant content to your age group
Please select from below
Login
Not registered?
Sign up
Already registered?
Success – Your message will goes here
We'd love to hear from you!
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.