Modelling and Simulation of Complex Power Systems.

Format:

Book

Author/Creator:

Monti, Antonello.

Contributor:

Benigni, Andrea.

Series:

Energy Engineering

Language:

English

Subjects (All):

Computer simulation.

Physical Description:

1 online resource (437 pages)

Edition:

1st ed.

Place of Publication:

Ann Arbor : Institution of Engineering & Technology, 2022.

Summary:

Modern power systems are highly complex due to increasing shares of intermittent renewable energy and distributed generation. Research requires computer simulation and modelling, and knowledge of methods and algorithms. This book presents key concepts of modelling and simulation of power systems.

Contents:

Intro

Contents

About the authors

Additional contributors

1. Introduction | Antonello Monti and Andrea Benigni

1.1 The structure of the book

1.2 How to use the book

Supplementary material

2. Digital simulation | Andrea Benigni

2.1 Euler forward method

2.2 Backward Euler method

2.3 Trapezoidal rule method

2.4 Predictor and corrector method

2.5 Runge-Kutta methods

2.6 Adams-Bashforth and Adams-Moulton methods

2.7 Accuracy comparison

Exercises

References

3. Nodal methods | Antonello Monti and Andrea Benigni

3.1 Nodal analysis

3.2 Matrix stamp

3.3 Modified nodal analysis

3.4 Resistive companion

3.5 Numerical methods for the solution of linear systems

3.6 Controlled sources

4. State-space methods | Andrea Benigni and Antonello Monti

4.1 State-space modeling

4.2 Circuit modeling

4.3 Discretization

4.4 Automated state-space modeling

4.5 Simulation of state-space model

4.6 Signal flow solver

4.7 From state-space to transfer function representation

5. Parallelization methods | Andrea Benigni

5.1 Introduction

5.2 Case study 1: parallelize the simulation of a ship power system

5.3 Case study 2: parallelize the simulation of the IEEE 34 and IEEE 123 distribution network

5.4 Diakoptics

5.5 State-space nodal method (SSN)

5.6 Transmission line modeling and the waveform relaxation-based method

5.7 Latency insertion method

5.8 LB-LMC method

5.9 Exercises

6. Simulation under uncertainty | Matthew Milton, Andrea Benigni and Antonello Monti

6.1 Introduction

6.2 Case studies

6.3 Uncertainty and statistics

6.4 Monte Carlo

6.5 Polynomial chaos

6.6 Non-intrusive polynomial chaos

6.7 Exercises

References.

7. Simulation language specification-Modelica | Jan Dinkelbach, Markus Mirz, Antonello Monti and Andrea Benigni

7.1 Example 1: Simulation of electrical and thermal components considering the impact of a building heating system on the voltage level in a distribution grid

7.2 Example 2: Static voltage assessment of a distribution grid with high penetration of photovoltaics

7.3 Example 3: Transient characteristics of synchronous generator models

7.4 Example 4: Simulation of electrical and mechanical components considering the start of an asynchronous induction machine

7.5 Introduction to Modelica

7.6 Fundamentals of the Modelica language

7.7 Hello World using Modelica

7.8 Electrical component modeling by equations

7.9 Object-oriented modeling by inheritance

7.10 System modeling by composition

7.11 Hybrid modeling

7.12 Further modeling formalisms

7.13 Implementation and execution of Modelica

7.14 Exercises

7.15 Exercises-solutions

8. Dynamic phasors | Jan Dinkelbach, Markus Mirz and Antonello Monti

8.1 Simulation examples

8.2 Introduction

8.3 Comparison to electromechanical simulation

8.4 Bandpass signals and baseband representation

8.5 Extracting dynamic phasors from real signals

8.6 Modeling dynamic systems using dynamic phasors

8.7 Dynamic phasor power system component models

8.8 Dynamic phasors and resistive companion models

8.9 Resistive companion simulation example

8.10 Accuracy

8.11 DP and EMT accuracy simulation example

8.12 Summary

9. Modeling of converters as switching circuits | Ferdinanda Ponci and Antonello Monti

9.1 Simulation of power electronics systems

9.2 Role of power electronics in power systems

9.3 Modelling and simulation of power electronics in power systems

9.4 Converter models

9.5 Averaged models.

9.6 Averaged circuits

9.7 Averaged switching elements

9.8 State-space models

9.9 Implementing a switch

9.10 Resistive companion model of converters

Problems

10. Real-time and hardware-in-the-loop simulation | Christian Dufour and Jean Belanger

10.1 Introduction

10.2 Model-based design and real-time simulation

10.3 General considerations about real-time simulation

10.4 Phasor-mode real-time simulation

10.5 Modern RTS requirements

10.6 Rapid control prototyping and HIL testing

10.7 Power grids real-time simulation applications

10.8 Motor drive and FPGA-based real-time simulation applications

10.9 Conclusion

11. Octsim/a solver for dynamic system simulation | Antonello Monti, Nika Khosravi, Martina Josˇevski and Zhiyu Pan

11.1 Introduction

11.2 Solver description

11.3 Solver structure

11.4 Solver functionalities

11.5 Solver implementation and validation

11.6 Example for hybrid system (buck converter with voltage control)

11.7 Conclusion

11.8 User manual

Index.

Notes:

Includes bibliographical references and index.

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Monti, Antonello Modelling and Simulation of Complex Power Systems

ISBN:

9781523147649

1523147644

9781785614057

1785614053

OCLC:

1338837677