dc.contributor.author |
Kabouris, J |
en |
dc.contributor.author |
Zouros, ND |
en |
dc.contributor.author |
Manos, GA |
en |
dc.contributor.author |
Contaxis, GC |
en |
dc.contributor.author |
Vournas, CD |
en |
dc.date.accessioned |
2014-03-01T01:14:28Z |
|
dc.date.available |
2014-03-01T01:14:28Z |
|
dc.date.issued |
1999 |
en |
dc.identifier.issn |
0960-1481 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/13088 |
|
dc.subject |
Autonomic System |
en |
dc.subject |
Load Forecasting |
en |
dc.subject |
Point of View |
en |
dc.subject |
Power System |
en |
dc.subject |
Small Islands |
en |
dc.subject |
System Simulation |
en |
dc.subject |
Wind Power |
en |
dc.subject.classification |
Energy & Fuels |
en |
dc.subject.other |
Small autonomous power systems |
en |
dc.subject.other |
Computer simulation |
en |
dc.subject.other |
Electric load forecasting |
en |
dc.subject.other |
Electric network analysis |
en |
dc.subject.other |
Electric power generation |
en |
dc.subject.other |
Electric power systems |
en |
dc.subject.other |
Regional planning |
en |
dc.subject.other |
Wind power |
en |
dc.subject.other |
island |
en |
dc.subject.other |
power generation |
en |
dc.subject.other |
wind power |
en |
dc.title |
Computational environment to investigate wind integration into small autonomous systems |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1016/S0960-1481(98)00795-2 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1016/S0960-1481(98)00795-2 |
en |
heal.language |
English |
en |
heal.publicationDate |
1999 |
en |
heal.abstract |
This paper presents briefly the methodologies and the respective computational tools for the investigation of the wind power exploitation in small autonomous power systems supplying the load demand of small islands. The proposed methodology examines the wind power penetration from both technical and economic point of view. It comprises tools for load forecasting and management, power system analysis and generation system simulation and planning. (C) 1999 Elsevier Science Ltd. All rights reserved. |
en |
heal.publisher |
PERGAMON-ELSEVIER SCIENCE LTD |
en |
heal.journalName |
Renewable Energy |
en |
dc.identifier.doi |
10.1016/S0960-1481(98)00795-2 |
en |
dc.identifier.isi |
ISI:000080602500006 |
en |
dc.identifier.volume |
18 |
en |
dc.identifier.issue |
1 |
en |
dc.identifier.spage |
61 |
en |
dc.identifier.epage |
75 |
en |