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Mathematical Models and Algorithms for Power System Optimization by Mingtian Fan; Zuping Zhang; Chengmin Wang is a scholarly article available to read on EtoBox.

What is Mathematical Models and Algorithms for Power System Optimization about?

A number of mathematical models and algorithms are presented in this book for solving the practical problems in planning, operation, control, and marketing decisions for power systems. It focuses on economic dispatching, generator maintenance scheduling, load flow, optimal load flow, load optimization, reactive optimization, load frequency control, transient stability, and electricity marketing where mathematical models are transformed into relatively standard optimization models to make optimization applications possible. 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 practic

Author

Mingtian Fan; Zuping Zhang; Chengmin Wang

Publisher

Elsevier, AP, Academic Press China Electric Power Press

Published

2019

Language

EN

ISBN

9780128132326