Chongqing Kang – författare

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.

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.

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.

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.