| Description |
1 online resource (185 pages) |
| Series |
Springer Theses |
|
Springer theses.
|
| Contents |
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 |
| Summary |
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 |
| Notes |
"Doctoral thesis accepted by the University of Manchester, Manchester, UK." |
|
Print version record |
| Subject |
Electric power system stability.
|
|
Electric power system stability
|
| Form |
Electronic book
|
| ISBN |
9783030377861 |
|
3030377865 |
|
