Optimization of Power System Problems Optimization of Power System Problems
Studies in Systems, Decision and Control

Optimization of Power System Problems

Methods, Algorithms and MATLAB Codes

    • 139,99 €
    • 139,99 €

Description de l’éditeur

This book presents integrated optimization methods and algorithms for power system problems along with their codes in MATLAB. Providing a reliable and secure power and energy system is one of the main challenges of the new era. Due to the nonlinear multi-objective nature of these problems, the traditional methods are not suitable approaches for solving large-scale power system operation dilemmas. The integration of optimization algorithms into power systems has been discussed in several textbooks, but this is the first to include the integration methods and the developed codes. As such, it is a useful resource for undergraduate and graduate students, researchers and engineers trying to solve power and energy optimization problems using modern technical and intelligent systems based on theory and application case studies. It is expected that readers have a basic mathematical background.

GENRE
Professionnel et technique
SORTIE
2020
6 janvier
LANGUE
EN
Anglais
LONGUEUR
394
Pages
ÉDITIONS
Springer International Publishing
DÉTAILS DU FOURNISSEUR
Springer Science & Business Media LLC
TAILLE
44,8
Mo
Intelligent Condition Based Monitoring Intelligent Condition Based Monitoring
2020
Mathematical Topics on Representations of Ordered Structures and Utility Theory Mathematical Topics on Representations of Ordered Structures and Utility Theory
2020
Challenges and Trends in Multimodal Fall Detection for Healthcare Challenges and Trends in Multimodal Fall Detection for Healthcare
2020
Variable-Structure Systems and Sliding-Mode Control Variable-Structure Systems and Sliding-Mode Control
2020
New Trends in Robot Control New Trends in Robot Control
2020
Internet of Things, Smart Computing and Technology: A Roadmap Ahead Internet of Things, Smart Computing and Technology: A Roadmap Ahead
2020