Advances in Power System Modelling, Control and Stability Analysis

Inbunden, Engelska, 2022

2 689 kr

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Power systems are becoming increasingly complex as well as flexible, able to integrate distributed renewable generation, EV, and additional loads. This expanded and updated second edition covers the technologies needed to operate modern power grids.Initial chapters cover power system modelling, telegrapher equations, power flow analysis, discrete Fourier transformation and stochastic differential equations. Ensuing chapters deal with power system operation and control, power flow, real-time control and state estimation techniques for distribution systems as well as shipboard systems. The final chapters describe stability analysis of power systems and cover voltage stability, transient stability, time delays, and limit cycles. New content for the second edition includes four new chapters on recent modelling, control and stability analysis of power electronic converters and electric vehicles.This new edition is an essential guide to technologies for operating modern flexible power systems for PhD students, early-career researchers and practitioners in the field.

Produktinformation

Utgivningsdatum2022-11-04
Mått156 x 234 x 42 mm
Vikt1 390 g
FormatInbunden
SpråkEngelska
SerieEnergy Engineering
Antal sidor764
Upplaga2
FörlagInstitution of Engineering and Technology
ISBN9781839535758

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Energiteknik inom Naturvetenskap och teknik

Federico Milano is a professor at the University College Dublin, Ireland. He has authored 8 books and about 250 scientific papers. He was elevated to IEEE fellow in 2016, IET fellow in 2017, and IEEE PES distinguished lecturer in 2020. He has been an associate editor of several international journals published by IEEE, IET, and other publishers, including the IEEE Transactions of Power Systems. In 2022, he became Co-Editor in Chief of the IET Generation, Transmission & Distribution.

Part I: ModellingChapter 1: Telegrapher's equations for field-to-transmission line interactionChapter 2: Reliable solutions of uncertain optimal power flow problems by affine arithmeticChapter 3: DFT-based synchrophasor estimation processes for Phasor Measurement Units applications: algorithms definition and performance analysisChapter 4: Modeling power systems with stochastic processesChapter 5: Detailed modeling of inverter-based resourcesChapter 6: Isomorphism-based simulation of modular multilevel converters Part II: ControlChapter 7: Optimization methods for preventive/corrective control in transmission systemsChapter 8: Static and recursive PMU-based state estimation processes for transmission and distribution power gridsChapter 9: Real-time applications for electric power generation and voltage controlChapter 10: Optimal control processes in active distribution networksChapter 11: Control of converter interfaced generationChapter 12: Combined voltage - frequency control with power electronics-based devicesChapter 13: Smart transformer control of the electrical gridChapter 14: On the interactions between plug-in electric vehicles and the power grid Part III: Stability AnalysisChapter 15: Time-domain simulation for transient stability analysisChapter 16: Voltage security in modern power systemsChapter 17: Small-signal stability and time-domain analysis of delayed power systemsChapter 18: Shooting-based stability analysis of power system oscillationsChapter 19: Stability assessment in advanced DC microgridsChapter 20: Scanning methods for stability analysis of inverter-based resources Part IV: AppendicesAppendix A: Stochastic process fitting procedureAppendix B: Modeling correlated stochastic processesAppendix C: Data of lines, loads and distributed energy resourcesAppendix D: Proofs and tools for DDAEsAppendix E: Numerical aspects of the probe-insertion technique