In this dissertation some novel indices for vulnerability and robustness assessment of power grids are presented. Such indices are mainly defined from the structure of transmission power grids, and with the aim of Blackout (BO) prevention and mitigation. Numerical experiments showing how they could be used alone or in coordination with pre-existing ones to reduce the effects of BOs are discussed.
These indices are introduced inside 3 different sujects:
The first subject is for taking a look into economical aspects of grids’ operation and their effects in BO propagation. Basically, simulations support that: the determination to operate the grid in the most profitable way could produce an increase in the size or frequency of BOs. Conversely, some uneconomical ways of supplying energy are shown to be less affected by BO phenomena.
In the second subject new topological indices are devised to address the question of "which are the best buses to place distributed generation?".
The combined use of two indices, is shown as a promising
alternative for extracting grid’s significant features regarding robustness against BOs and distributed generation.
For this purpose, a new index based on outage shift factors is used along with a previously defined electric centrality index.
The third subject is on Static Robustness Analysis of electric networks, from a purely structural point of view.
A pair of existing topological indices, (namely degree index
and clustering coefficient), are combined to show how degradation of the network structure can be accelerated.
Blackout simulations were carried out using the DC Power Flow Method and models of transmission networks from the USA and Europe.
| Identifer | oai:union.ndltd.org:unibo.it/oai:amsdottorato.cib.unibo.it:6502 |
| Date | 28 April 2014 |
| Creators | Formigli Rodriguez, Carlos Manuel <1976> |
| Contributors | Rovatti, Riccardo, Setti, Gianluca |
| Publisher | Alma Mater Studiorum - Università di Bologna |
| Source Sets | Università di Bologna |
| Language | English |
| Detected Language | English |
| Type | Doctoral Thesis, PeerReviewed |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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