dc.contributor |
Eidgenössische Technische Hochschule Zürich |
dc.contributor |
Koch, Stephan |
dc.contributor.author |
Rullan de la Cruz, Antoni |
dc.date |
2014 |
dc.identifier.uri |
http://hdl.handle.net/2117/82365 |
dc.language.iso |
eng |
dc.publisher |
Universitat Politècnica de Catalunya |
dc.publisher |
Eidgenössische Technische Hochschule Zürich |
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 |
dc.subject |
Àrees temàtiques de la UPC::Informàtica |
dc.subject |
Smart power grids |
dc.subject |
Distributed generation of electric power -- Computer simulation |
dc.subject |
Time-series analysis |
dc.subject |
Xarxes elèctriques intel·ligents |
dc.subject |
Energia elèctrica -- Generació distribuïda -- Simulació per ordinador |
dc.subject |
Sèries temporals -- Anàlisi |
dc.title |
Evaluation of innovative approaches in active distribution network management via time-series simulations |
dc.type |
info:eu-repo/semantics/bachelorThesis |
dc.description.abstract |
European directives for renewable energies and decreasing costs of these alternative
generation technologies are incentivising a transformation of the
electricity markets, grid infrastructure and the way the grid is operated. Distribution
networks, which were not traditionally designed to host generation,
have to deal now with distributed energy resources that feed intermittent
power into the grid. Thus, due to the fact that excess energy from these
intermittent sources cannot be hosted, not only the need of energy storage
in power systems has emerged but also of new control strategies in the eld
of grid planning such as demand response or curtailment of generation units.
In order to take SmartGrid elements and control strategies into the
planning stage, the ETH Zurich spin-o Adaptricity has developed DPG.sim,
a time-series simulation software that can overcome traditional grid planning
software limitations in representing the behavior of SmartGrid elements for
grid planning studies.
Within the traditional grid extension planning, this thesis addresses
the implementation of an automatic grid upgrade algorithm to be used with
DPG.sim to automatically select which elements must be substituted. This
work also demonstrates, using temporal simulations in DPG.sim, the scope
of active network management strategies to enlarge grid hosting capacity
of distributed energy generation. Thus, it will show how these strategies
can reduce the technical challenges faced by Distribution System Operators
(DSOs) such as overvoltages and line overloadings. |
dc.description.abstract |
Outgoing |