dc.contributor |
Alessandretti, Andrea |
dc.contributor |
Razzaghi, Reza |
dc.contributor.author |
Mitjans Coma, Marc |
dc.date |
2013 |
dc.identifier.uri |
http://hdl.handle.net/2099.1/25457 |
dc.language.iso |
eng |
dc.publisher |
Universitat Politècnica de Catalunya |
dc.publisher |
École Polytechnique Fédérale de Lausanne |
dc.rights |
Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights |
info:eu-repo/semantics/openAccess |
dc.rights |
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject |
Àrees temàtiques de la UPC::Energies::Tecnologia energètica |
dc.subject |
Àrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa::Simulació |
dc.subject |
Energy |
dc.subject |
Computer simulation |
dc.subject |
Real-time data processing |
dc.subject |
Electromagnetism |
dc.subject |
Energia |
dc.subject |
Simulació per ordinador |
dc.subject |
Temps real (Informàtica) |
dc.subject |
Electromagnetisme |
dc.title |
Numerical simulation of power systems for real-time simulation applications and Collision avoidance control design |
dc.type |
info:eu-repo/semantics/bachelorThesis |
dc.description.abstract |
Numerical simulation of power systems for real-time simulation applications: This report concerns to the study of FPGA-based electromagnetic transient simulations
of power systems. Along its content, the discretization of electric circuits concerning
power systems will be treated for RLC circuits and transmission lines. Our goal is to be
able to de ne a program that, by reading a text le with the information of a certain
network, computes the nodal admittance matrix for the Fixed Admittance Matrix Nodal
Method.
Several examples will be shown with the comparison between the values obtained from
the EMTP-RV simulator software and the ones obtained from our solver in order to
validate the model.
Finally, the nodal admittance matrix (NAM) will be used in the code programmed for
the CompactRIO and its FPGA for real-time simulations. Collision avoidance control design: This semester project has been developed at the Automatic Control Laboratory, at the
Swiss Federal Institute of Technology in Lausanne. It is oriented at the implementation
of obstacle avoidance algorithms, more concretely at the development of three of the
most common algorithms using a user-friendly interface to allow third-party consumers
to use them, either for simulation or implementation on real systems.
In the paper attached to this report, the disadvantages of one of the implemented algo-
rithms will be discussed in detail, and the model predictive control method (MPC) will
be described and used to improve its performance to a great extent. |