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Power System Loads and Power System Stability

  • Book
  • © 2020

Overview

Authors:
  1. Yue Zhu

    1. State Grid Corporation of China, Shanghai, China

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  • Develops an automated load modelling tool, and methods for ranking and analysing power system load model parameters
  • Provides models with the aim of minimising costs, human labour, and time
  • Identifies critical load locations in power system for all four types of system stability studies

Part of the book series: Springer Theses (Springer Theses)

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xxvi
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  2. Introduction

    • Yue Zhu
    Pages 1-18

  3. Power System Load Models and Load Modelling

    • Yue Zhu
    Pages 19-47

  4. Power System Stability Indices

    • Yue Zhu
    Pages 49-73

  5. Probabilistic Assessment and Sensitivity Analysis in Stability Studies

    • Yue Zhu
    Pages 75-90

  6. Load Model Parameter Ranking for Different Types of Power System Stability Studies

    • Yue Zhu
    Pages 91-108

  7. Factors Affecting Load Model Parameter Ranking

    • Yue Zhu
    Pages 109-128

  8. Required Accuracy Level of Critical Load Model Parameters

    • Yue Zhu
    Pages 129-142

  9. Conclusions and Future Work

    • Yue Zhu
    Pages 143-148

  10. Back Matter

    Pages 149-164
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Keywords

About this book

This thesis develops a pioneering methodology and a concept for identifying critical loads and load model parameters in large power networks based on their influence on power system stability.

The research described in the thesis first develops an automatic load modelling tool (ALMT) that can be used to automatically build load model from actual measured power system data without human intervention and the benefits of the ALMY are explored. Secondly, it develops a pioneering framework based on Morris screening method for ranking power system load model parameters based on their influence on overall power system stability (voltage, frequency, transient and small disturbance stability) considering different load models and loading conditions. Thirdly, a novel probabilistic methodology for determining the accuracy levels of critical load model parameters has been developed.

This book will be of interest to students and researchers within the field of electrical engineering, as well as industry professionals.

Authors and Affiliations

  • State Grid Corporation of China, Shanghai, China

    Yue Zhu

About the author

Dr Yue Zhu gained his BEng in electrical engineering and PhD from the University of Manchester in 2015 and 2018 respectively. He has authored or co-authored 3 journal papers and 5 conference papers; one of these conference papers was commended at the Mediterranean Conference on Power Generation, Transmission Distribution and Energy Conversion in 2018. Dr Zhu is now working at the State Grid Shanghai Energy Interconnection Research Institute.

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