Simulation of Power System with Renewables - 1st Edition - ISBN: 9780128111871

Simulation of Power System with Renewables

1st Edition

Authors: Linash Kunjumuhammed Stephanie Kuenzel Bikash C. Pal
Paperback ISBN: 9780128111871
Imprint: Academic Press
Published Date: 1st January 2019
Page Count: 250
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In order to build a comprehensive model of a power system, full system models for simulation and investigation are often written and built from first principle, to reinforce understanding of power systems modelling.

Simulation of Power System with Renewables is the first book to provide details of modelling and efficient implementation of widely used software Matlab, particularly with a renewable energy driven power system. The book has a step-by-step approach to modelling implementation including all major components used in current power systems operation, giving the reader the opportunity to learn how to gather models for conventional generators, wind farms, solar plants, HVDC links, and FACTS control devices.

This book is a central resource for modelling, building and simulating renewable power systems, guiding researchers and engineer’s through limitations and assumptions created in the model and giving full flexibility to the implementation and analysis of the system

Key Features

  • Presents worked examples and equations in each chapter addressing system limitations and flexibility
  • Provides step-by-step guidance for building and simulating models with required data
  • Contains various case studies on a number of devices including FACTS, HVDC systems and renewable generation


Power system engineers and researchers, electrical engineers and engineering researchers, soalr energy engineers and those working in the implementation of efficient power systems

Table of Contents


Purpose of the book and guide on how to use the book.

  1. Introduction
  2. Introduction to power systems, recent progress, issues and challenges.

  3. Network modelling
  4. Discussion of different types of network representation (Z , dynamic or EMTP)

    Admittance and impedance model of three phase systems

    Modelling of Transformer with off-nominal taps

    Vector approach in Simulink

    Power flow computation.

    Study: Power flow result (Req. II)

  5. Synchronous machine modelling
  6. Description of different synchronous machine models and assumption used

    Description and key equations of synchronous machine model in d-q reference

    Step-by-step procedure for building Simulink blocks


    Study: SMIB test system time domain results (Req. II - III)

  7. Analysis and controller design ideas
  8. Eigenvalue, Eigenvectors, participation factors, modal controllability, observability, residue, transfer function, singular value decomposition, matrix norms

    Control design from a plant model.

    Study: SMIB test system modal results (Req. II - IV)

  9. Load modelling
  10. Discussion of different types of load representation (ZIP and dynamic)

    Description, key equations and integration of ZIP model.

    Study: Four machine system model results (Req. II - V)

  11. Modelling of wind power
  12. Type 1, Type 2 , Type 3 and Type 4 wind turbine generator (WTG) models turbine and gear box models, pitch control model, modelling for Cp-curve Simulation


    Study: Wind system model results (Req. II - VI)

  13. Modelling of solar generation
  14. Discussion on methods of solar power generation

    Modelling of solar generation for network power flow and stability studies.

    Study: Solar system model results (Req. II - V, VII)

  15. Modelling of FACTS devices
  16. Approach to build static VAR compensator (SVC), STATCOM, Thyristor-Controlled Series Compensation (TCSC) models and phase shifter /quadrature booster model

    Approach to integrate models into the four machines system


    Study: Facts model study results (Req. II - V, VII)

  17. HVDC system modelling and simulation
  18. HVDC system model description

    Integration into the small multi-machine system model

    ACDC power flow


    Study: HVDC model study results (Req. II - V, IX)

  19. Study of Inter-area oscillations in power system

          Description of inter-area oscillations and their significance in power systems.

          Study: Case studies of inter-area oscillation using FACTS devices, HVDC and renewable generation. (Req. II - X)


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© Academic Press 2019
Academic Press
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About the Author

Linash Kunjumuhammed

is Research Associate in the Control and Power Research Group at the Department of Electrical and Electronic Engineering at Imperial College London. He received the B.Tech. degree from Mahatma Gandhi University, India, the M.S. degree from the Indian Institute of Technology Madras, India, and the Ph.D. degree from Imperial College London, U.K., in 2002, 2006, and 2012, respectively

Affiliations and Expertise

Research Associate, Control and Power Research Group, Department of Electrical and Electronic Engineering, Imperial College London, UK

Stephanie Kuenzel

completed an MEng degree in Electrical and Electronic Engineering at Imperial College London between 2006 and 2010. She was awarded a Power Academy Scholarship, being partnered with National Grid, UK. Through this scheme she gained work experience at multiple National Grid offices (Warwick, Leeds and Wokingham). Between 2010 and 2014 she did a PhD at Imperial College, titled “Modelling and control of an ACDC system with significant generation from wind”.

Affiliations and Expertise

MEng degree in Electrical and Electronic Engineering, Imperial College London, between 2006 and 2010

Bikash C. Pal

Prof. Bikash C. Pal completed his B.Eng (1990) from Jadavpur University, M.Eng (1992) from The Indian Institute of Science, Bangalore and PhD (1999) from Imperial College London. He is a professor of power systems at Imperial College London. He is research active in stability, control and computation of power systems with renewable energy. His research in power transmission control are conducted in strategic partnership with ABB and National Grid UK. His research in distribution network control and computation was supported by UK Power Networks (UKPN) and Scottish & Southern Electric (SSE) UK. He leads an eight-university UK-India research consortium on Smart Grid and Storage and a six-university UK-China research consortium in Smart Grid and Control.

Affiliations and Expertise

Professor of Power Systems, Imperial College London, UK

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