Comments on the paper
In this paper, we build a realistic large-scale agent-based model of the Italian electricity market and run simulations to investigate how a significant increase in wind capacity can affect electricity prices at the national level when the wind resource is geographically concentrated, as in the case...
Bewaard in:
| Hoofdauteur: | |
|---|---|
| Formaat: | Article ou chapitre numérique |
| Taal: | Français |
| Gepubliceerd in: |
2012
|
| Online toegang: | Accès Université d'Orléans et IFPM Accès Université d'Orléans et IFPM |
| id |
cairn-REOF_124_0513 |
|---|---|
| record_format |
cairn |
| spelling |
cairn-REOF_124_0513REOFRevue de l'OFCE https://shs.cairn.info/revue-de-l-ofce-2012-5-page-59a?lang=en https://doi.org/10.3917/reof.124.0513 Comments on the paper Peretto, Pietro2012 fre Revue de l'OFCE | 124 | 5 | 2012-11-02 | p. 59a-60a | 1265-9576 REOF_12491 In this paper, we build a realistic large-scale agent-based model of the Italian electricity market and run simulations to investigate how a significant increase in wind capacity can affect electricity prices at the national level when the wind resource is geographically concentrated, as in the case of Italy. The simulator implements both cost-based and oligopoly models in which electricity companies learn to bid strategically. We compare a scenario based on the 2010 wind supply and a scenario based on the maximum potential wind capacity as estimated in technical reports. Results confirm the beneficial effect of low-cost renewable energy in reducing average market prices, but simulated power flows in the grid suggest that congestion in the electricity network induced by high wind penetration creates market power opportunities that can offset the price reduction effects.Cairn free access |
| language |
Français |
| format |
Article ou chapitre numérique |
| building |
0/Bibliothèque numérique/ 1/Bibliothèque numérique/Cairn/ |
| description |
In this paper, we build a realistic large-scale agent-based model of the Italian electricity market and run simulations to investigate how a significant increase in wind capacity can affect electricity prices at the national level when the wind resource is geographically concentrated, as in the case of Italy. The simulator implements both cost-based and oligopoly models in which electricity companies learn to bid strategically. We compare a scenario based on the 2010 wind supply and a scenario based on the maximum potential wind capacity as estimated in technical reports. Results confirm the beneficial effect of low-cost renewable energy in reducing average market prices, but simulated power flows in the grid suggest that congestion in the electricity network induced by high wind penetration creates market power opportunities that can offset the price reduction effects. |
| author |
Peretto, Pietro |
| spellingShingle |
Peretto, Pietro Comments on the paper |
| author_facet |
Peretto, Pietro |
| author_sort |
Peretto, Pietro |
| title |
Comments on the paper |
| title_short |
Comments on the paper |
| title_full |
Comments on the paper |
| title_fullStr |
Comments on the paper |
| title_full_unstemmed |
Comments on the paper |
| title_sort |
comments on the paper |
| publishDate |
2012 |
| container_title |
|
| container_issue |
|
| url |
https://ezproxy.univ-orleans.fr/login?url=https://shs.cairn.info/revue-de-l-ofce-2012-5-page-59a?lang=en https://ezproxy.univ-orleans.fr/login?url=https://doi.org/10.3917/reof.124.0513 |
| _version_ |
1877246503815217152 |