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The purpose of this book is to provide students of electric power system management the basic knowledge of different optimization problems in the power system operation of utilities as well as the electricity market. The contents of the book are based on recent studies specializing in the application of artificial intelligence such as particle swarm optimization, evolutionary programming, fuzzy logic, and augmented Lagrange Hopfield network to power system optimization problems.

Optimization of Power System Operation applies the latest applications of new technologies to power system operation and analysis, including several new and important areas that are not covered in existing books: uncertainty analysis in power systems; steady-state security region analysis; 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, smart grid operation, optimal load shed, optimal reconfiguration of distribution network, power system uncertainty analysis, power system sensitivity analysis, analytic hierarchical process, neural network, fuzzy theory, genetic algorithm, evolutionary programming, and particle swarm optimization, among others. New topics such as the wheeling model, multi-area wheeling, the total transfer capability computation in multiple areas, are also addressed. The application of renewable energy and operation of smart grid is also included in the book

SQLite数据库.net引用库 System.Data.SQLite.dll v1.0.112(通用版,32位，64位系统均支持)

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