Power System Loads and Power System Stability

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.

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

Auteur

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.

Contenu
Introduction.- Power System Load Models and Load Modelling.- Power System Stability Indices.- Probabilistic Assessment and Sensitivity Analysis in Stability Studies.- Load Model Parameter Ranking for Different Types of Power System Stability Studies.- Factors Affecting Load Model Parameter Ranking.- Required Accuracy Level of Critical Load Model Parameters.- Conclusions and Future Work <p