Название: Mathematical Models and Algorithms for Power System Optimization: Modeling Technology for Practical Engineering Problems Автор: Mingtian Fan, Zuping Zhang, Chengmin Wang
Издательство: Academic Press
Год: 2019
Страниц: 434
Язык: английский
Формат: pdf (true)
Размер: 11.4 MB
Mathematical Models and Algorithms for Power System Optimization helps readers build a thorough understanding of new technologies and world-class practices developed by the State Grid Corporation of China, the organization responsible for the world’s largest power distribution network. This reference covers three areas: power operation planning, electric grid investment and operational planning and power system control. It introduces economic dispatching, generator maintenance scheduling, power flow, optimal load flow, reactive power planning, load frequency control and transient stability, using mathematic models including optimization, dynamic, differential and difference equations.
The optimization models discussed include linear (0–1, integer, mixed-integer), nonlinear, mixed integer, and nonlinear mixed integer models. Both numerical and non-numerical optimization algorithms are used in this book, the former (mathematical programming approachs) includes linear programming, nonlinear programming, mixed integer programming and dynamic programming, the latter (rules based approaches) includes Genetic Algorithm (GA), Simulated Annealing (SA), and Expert System (ES). Based on the authors’ extensive research experience in developing models and algorithms for power system optimization, this book also provides an in-depth analysis of some practical modeling techniques which are seldom explained comprehensively in the existing textbooks, both from theoretical and practical standpoints, for example, validity testing of data, type setting of variables, special setting of limit values of variables, special setting of constraints, and preprocessing of parameter and data. These techniques can be effectively applied to the modeling of power system optimization problems.
Provides insights on the development of new mathematical models of power system optimization
Analyzes power systems comprehensively to create novel mathematic models and algorithms for issues related to the planning operation of power systems
Includes research on the optimization of power systems and related practical research projects carried out since 1981
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