This book is written on the basis of the condensation of practice and research results in teaching and research of power system pricing mechanism for more than ten years. Starting from the background of China's dual-carbon target, the book introduces theories and methods in many fields, such as electric power economics, management science, and optimization, and systematically introduces the basic ideas, principles, and methods of the new power system pricing mechanism under the demand-side management, and carries out a number of simulation experiments to verify and analyze the effectiveness and practicality of the pricing model. The research involves a variety of pricing models and algorithms, such as the social welfare maximization model and derivative models, Lagrangian dual decomposition and gradient projection pricing methods, KKT conditions and complementary theory pricing methods, distributed solution algorithms for game and two-layer models, machine learning pricing methods, and price adjustment mechanisms based on demand response. The preparation of this book focuses on the guidance of theory to practice, interpreting theoretical knowledge with the research results of actual scientific research topics, which helps readers to better understand and master the relevant knowledge, and at the same time, focusing on the hierarchical structure of knowledge to satisfy the learning requirements of readers at different levels and with different professional backgrounds. It provides a practical reference book for undergraduates and postgraduates of related majors and researchers engaged in research engaged in related fields.
This book is written on the basis of the condensation of practice and research results in teaching and research of power system pricing mechanism for more than ten years. Starting from the background of China's dual-carbon target, the book introduces theories and methods in many fields, such as electric power economics, management science, and optimization, and systematically introduces the basic ideas, principles, and methods of the new power system pricing mechanism under the demand-side management, and carries out a number of simulation experiments to verify and analyze the effectiveness and practicality of the pricing model. The research involves a variety of pricing models and algorithms, such as the social welfare maximization model and derivative models, Lagrangian dual decomposition and gradient projection pricing methods, KKT conditions and complementary theory pricing methods, distributed solution algorithms for game and two-layer models, machine learning pricing methods, and price adjustment mechanisms based on demand response. The preparation of this book focuses on the guidance of theory to practice, interpreting theoretical knowledge with the research results of actual scientific research topics, which helps readers to better understand and master the relevant knowledge, and at the same time, focusing on the hierarchical structure of knowledge to satisfy the learning requirements of readers at different levels and with different professional backgrounds. It provides a practical reference book for undergraduates and postgraduates of related majors and researchers engaged in research engaged in related fields.
Junxiang Li
Electricity real-time Pricing demand-side management New power system Smart Grid Grid Stability Strategy Low-carbon Operation Automatic Process Control Social Welfare Maximization Model