Power System Dynamics: Stability and Control (2版)

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【簡介】 This book is the fully revised and updated second edition of Power System Dynamics and Stability published in 1997. The modified title Power System Dynamics: Stability and Control reflects a slight shift in focus from solely describing power system dynamics to the means of dealing with them. The book has been expanded by about a third to include:a new chapter on wind power generation;a new section on wide-area measurement systems (WAMS) and their application for real-time control;an overview of lessons learned from wide-spread blackouts affecting North America and Europe in 2003, 2004 and 2006;enhanced treatment of voltage stability and control, and frequency stability and control;application of Lyapunov direct method to analyse and enhance stability of multi-machine power systems ;expanded coverage of steady-state stability using eigenvalue analysis, including modal analysis of dynamic equivalents.The book continues the succe 【目錄】

Pulsewidth Modulated DC-to-DC Power Conversion: Circuits, Dynamics, Control, and DC Power Distribution System (2版)

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DESCRIPTION ORGANIC REACTIONS CYCLIZATION REACTIONS OF NITROGEN-CENTERED RADICALS Stuart W. McCombie, Béatrice Quiclet-Sire, and Samir Z. Zard TRANSITION-METAL-CATALYZED AMINOOXYGENATION OF ALKENES Sherry R. Chemler, Dake Chen, Shuklendu D. Karyakarte, Jonathan M. Shikora, and Tomasz Wdowik

DYNAMIC SYSTEM MODELING & ANALYSIS WITH MATLAB & PYTHON: FOR CONTROL ENGINEERS (1版)

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DESCRIPTION Dynamic System Modeling & Analysis with MATLAB & Python A robust introduction to the advanced programming techniques and skills needed for control engineering In Dynamic System Modeling & Analysis with MATLAB & Python: For Control Engineers, accomplished control engineer Dr. Jongrae Kim delivers an insightful and concise introduction to the advanced programming skills required by control engineers. The book discusses dynamic systems used by satellites, aircraft, autonomous robots, and biomolecular networks. Throughout the text, MATLAB and Python are used to consider various dynamic modeling theories and examples. The author covers a range of control topics, including attitude dynamics, attitude kinematics, autonomous vehicles, systems biology, optimal estimation, robustness analysis, and stochastic system. An accompanying website includes a solutions manual as well as MATLAB and Python example code. Dynamic System Modeling & Analysis with MATLAB & Python: For Control Engineers provides readers with a sound starting point to learning programming in the engineering or biology domains. It also offers: A thorough introduction to attitude estimation and control, including attitude kinematics and sensors and extended Kalman filters for attitude estimation Practical discussions of autonomous vehicles mission planning, including unmanned aerial vehicle path planning and moving target tracking Comprehensive explorations of biological network modeling, including bio-molecular networks and stochastic modeling In-depth examinations of control algorithms using biomolecular networks, including implementation Dynamic System Modeling & Analysis with MATLAB & Python: For Control Engineers is an indispensable resource for advanced undergraduate and graduate students seeking practical programming instruction for dynamic system modeling and analysis using control theory.