Abstract
The power system network is increasingly becoming more and more complex with the increase in energy demand. Therefore, the need for a real-time model is crucial for monitoring and controlling power system networks. In order to build realistic models, state estimation (SE) tools are required, especially for non-linear systems similar to the power grid. This report discusses the general framework of state estimation in power systems. It also discusses the common techniques used for both linear and non-linear systems with some numerical examples to illustrate the different algorithms. Finally, the report shows a study on state estimation for a Permanent Magnet Synchronous Motor using different methods. The report concludes with a brief comparison of the results obtained from applying these methods, and contrasting their performances.