Power grids are nowadays experiencing a transformation due to the introduction of Distributed Generation based on Renewable Sources. At difference with classical Distributed Generation, where local power sources mitigate anomalous user consumption peaks, Renewable Sources introduce in the grid intrinsically erratic power inputs. By introducing a simple schematic (but realistic) model for power grids with stochastic distributed generation, we study the effects of erratic sources on the robustness of several IEEE power grid test networks with up to $2 \times 10^3$ buses. We find that increasing the penetration of erratic sources causes the grid to fail with a sharp transition. We compare such results with the case of failures caused by the natural increasing power demand.

Cascade Failures in Power Grids with Distributed Generation

Antonio Scala
;
2013

Abstract

Power grids are nowadays experiencing a transformation due to the introduction of Distributed Generation based on Renewable Sources. At difference with classical Distributed Generation, where local power sources mitigate anomalous user consumption peaks, Renewable Sources introduce in the grid intrinsically erratic power inputs. By introducing a simple schematic (but realistic) model for power grids with stochastic distributed generation, we study the effects of erratic sources on the robustness of several IEEE power grid test networks with up to $2 \times 10^3$ buses. We find that increasing the penetration of erratic sources causes the grid to fail with a sharp transition. We compare such results with the case of failures caused by the natural increasing power demand.
2013
Istituto dei Sistemi Complessi - ISC
Inglese
58
1
Abstract: G28.00011
1
http://meetings.aps.org/link/BAPS.2013.MAR.G28.11
Sì, ma tipo non specificato
Power Grids
APS March Meeting 2013, March 18-22, 2013, Baltimore, Maryland. Session G28: Statistical Mechanics of Social Systems.
Internazionale
info:eu-repo/semantics/article
266
open
01 Contributo su Rivista::01.05 Abstract in rivista
Scala, Antonio; Pahwa, Sakshi; Scoglio, Caterina
3
   CNR-PNR National Project Crisis-Lab

   US grant HDTRA1-11-1-0048

   US Department of Energy grant EE-0003812
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/180679
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