Optimization Of Power System Problems
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Optimization of Power System Problems
Author: Mahmoud Pesaran Hajiabbas
language: en
Publisher: Springer Nature
Release Date: 2020-01-06
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.
Optimization of Power System Operation
Learn to apply optimization methods to solve power system operation problems Optimization of Power System Operation applies the latest applications of new technologies to power system operation and analysis, including several new and important content areas that are not covered in existing books: uncertainty analysis in power systems; steady-state security regions; optimal load shedding; and optimal reconfiguration of electric distribution networks. The book covers both traditional and modern technologies, including power flow analysis, steady-state security region analysis, security-constrained economic dispatch, multi-area system economic dispatch, unit commitment, optimal power flow, reactive power (VAR) optimization, optimal load shed, optimal reconfiguration of distribution network, power system uncertainty analysis, power system sensitivity analysis, analytic hierarchical process, neural network, fuzzy set theory, genetic algorithm, evolutionary programming, and particle swarm optimization, among others. Additionally, new topics such as the wheeling model, multi-area wheeling, the total transfer capability computation in multiple areas, reactive power pricing calculation, and others are also addressed. Power system engineers, operators, and planners will benefit from this insightful resource. It is also of great interest to advanced undergraduate and graduate students in electrical and power engineering.
Optimization Methods Applied to Power Systems
This book presents an interesting sample of the latest advances in optimization techniques applied to electrical power engineering. It covers a variety of topics from various fields, ranging from classical optimization such as Linear and Nonlinear Programming and Integer and Mixed-Integer Programming to the most modern methods based on bio-inspired metaheuristics. The featured papers invite readers to delve further into emerging optimization techniques and their real application to case studies such as conventional and renewable energy generation, distributed generation, transport and distribution of electrical energy, electrical machines and power electronics, network optimization, intelligent systems, advances in electric mobility, etc.