Optimization of Energy Supply Networks using Ant Colony Optimization
dc.contributor.author | Warner, Lars | |
dc.contributor.author | Vogel, Ute | |
dc.contributor.editor | Moeller, Andreas | |
dc.contributor.editor | Page, Bernd | |
dc.contributor.editor | Schreiber, Martin | |
dc.date.accessioned | 2019-09-16T03:16:09Z | |
dc.date.available | 2019-09-16T03:16:09Z | |
dc.date.issued | 2008 | |
dc.description.abstract | The planning of an energy supply network has to take into account the consumers’ demand and location as well as the production and location of potential plants and the necessary network structure to connect both. Usually this planning process is done in two steps, choosing the plants first, and constructing the optimal network secondly. With the usage of regenerative energies, the choice of the location of these plants which depend heavily on regional environmental conditions and hence the resulting network becomes increasingly important. This paper introduces an approach for combining the choice of plants and the choice of a network structure in the same process using the metaheuristic Ant Colony Optimization. The results of the implemented algorithm are illustrated in a test scenario. | de |
dc.description.uri | http://enviroinfo.eu/sites/default/files/pdfs/vol119/0327.pdf | de |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/26367 | |
dc.publisher | Shaker Verlag | |
dc.relation.ispartof | Environmental Informatics and Industrial Ecology | |
dc.relation.ispartofseries | EnviroInfo | |
dc.title | Optimization of Energy Supply Networks using Ant Colony Optimization | de |
dc.type | Text/Conference Paper | |
gi.citation.publisherPlace | Aachen | |
gi.conference.date | 2008 | |
gi.conference.location | Lüneburg | |
gi.conference.sessiontitle | Environmental Modelling and Simulation |