Publication
Optimizing the renewable generation mix in the Portuguese power system based on temporal and spatial diversity
dc.contributor.author | Pereira, João Venceslau | |
dc.contributor.author | Ferreira, Rúben Aires Fonseca Paz | |
dc.contributor.author | Sousa, Jorge A. M. | |
dc.contributor.author | Lagarto, João | |
dc.contributor.author | Martins, Ana Alexandra | |
dc.date.accessioned | 2015-05-08T16:07:04Z | |
dc.date.available | 2015-05-08T16:07:04Z | |
dc.date.issued | 2014 | |
dc.description.abstract | Renewable energy sources (RES) have unique characteristics that grant them preference in energy and environmental policies. However, considering that the renewable resources are barely controllable and sometimes unpredictable, some challenges are faced when integrating high shares of renewable sources in power systems. In order to mitigate this problem, this paper presents a decision-making methodology regarding renewable investments. The model computes the optimal renewable generation mix from different available technologies (hydro, wind and photovoltaic) that integrates a given share of renewable sources, minimizing residual demand variability, therefore stabilizing the thermal power generation. The model also includes a spatial optimization of wind farms in order to identify the best distribution of wind capacity. This methodology is applied to the Portuguese power system. | por |
dc.identifier.citation | PEREIRA, João Venceslau; [et. al] - Optimizing the renewable generation mix in the Portuguese power system based on temporal and spatial diversity. 11th International Conference on European Energy Market (EEM). ISSN 2165-4077. (2014), pp. 1-5 | por |
dc.identifier.doi | 10.1109/EEM.2014.6861292 | |
dc.identifier.isbn | 978-1-4799-6095-8 | |
dc.identifier.issn | 2165-4077 | |
dc.identifier.uri | http://hdl.handle.net/10400.21/4511 | |
dc.language.iso | eng | por |
dc.peerreviewed | yes | por |
dc.publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. | por |
dc.relation.publisherversion | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6861292&tag=1 | por |
dc.subject | Renewable generation mix | por |
dc.subject | Large-scale integration | por |
dc.subject | Power systems | por |
dc.subject | Temporal and spatial analysis | por |
dc.subject | Wind power | por |
dc.title | Optimizing the renewable generation mix in the Portuguese power system based on temporal and spatial diversity | por |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.citation.conferencePlace | Krakow | por |
oaire.citation.endPage | 5 | por |
oaire.citation.startPage | 1 | por |
oaire.citation.title | 11th International Conference on European Energy Market (EEM) | por |
person.familyName | Sousa | |
person.familyName | Lagarto | |
person.familyName | Martins | |
person.givenName | Jorge A. M. | |
person.givenName | João | |
person.givenName | Ana Alexandra | |
person.identifier | 2750231 | |
person.identifier.ciencia-id | F816-08E3-B045 | |
person.identifier.ciencia-id | 0512-2920-3C9E | |
person.identifier.ciencia-id | 2016-88BF-5D0B | |
person.identifier.orcid | 0000-0002-1110-6586 | |
person.identifier.orcid | 0000-0002-7047-6210 | |
person.identifier.orcid | 0000-0003-3733-6619 | |
person.identifier.rid | M-1020-2015 | |
person.identifier.scopus-author-id | 55940825700 | |
person.identifier.scopus-author-id | 24758947600 | |
person.identifier.scopus-author-id | 34969159800 | |
rcaap.rights | restrictedAccess | por |
rcaap.type | article | por |
relation.isAuthorOfPublication | 69325e43-1f4e-4c1c-8c69-159ac3f93066 | |
relation.isAuthorOfPublication | 174bfcee-266b-483c-bc13-f187a886014d | |
relation.isAuthorOfPublication | 7174415b-4387-4cc9-97b0-6c2a3e0c88b4 | |
relation.isAuthorOfPublication.latestForDiscovery | 69325e43-1f4e-4c1c-8c69-159ac3f93066 |
Files
Original bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- Optimizing the Renewable_ADEEEA.pdf
- Size:
- 383.88 KB
- Format:
- Adobe Portable Document Format
License bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- license.txt
- Size:
- 1.71 KB
- Format:
- Item-specific license agreed upon to submission
- Description: