Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/11735
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dc.contributor.authorErgun, H-
dc.contributor.authorRawn, B-
dc.contributor.authorBelmans, R-
dc.contributor.authorVan Hertem, D-
dc.date.accessioned2015-12-09T15:32:06Z-
dc.date.available2014-09-
dc.date.available2015-12-09T15:32:06Z-
dc.date.issued2014-
dc.identifier.citationPower Systems, IEEE Transactions on,29(5): pp. 2469 - 2477, (2014)en_US
dc.identifier.issn0885-8950-
dc.identifier.urihttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6746189-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/11735-
dc.description.abstractThis paper presents a method to optimize equipment investments in multizonal transmission systems, considering spatial properties of the areas of focus. Together with a probabilistic technique for assessing nodal injection capability, the method in the paper completes the methodology of a long term transmission system planning tool. Transmission topology, line route and technology are optimized through iterative application of linear integer programming and Dijkstra's shortest path algorithm. By optimizing the transmission route, the spatial properties of the area of focus are taken into account, which in turn can significantly influence the installation costs of transmission equipment. The optimization method considers both AC and DC technology and takes the N-1 security criterion into account.en_US
dc.format.extent2469 - 2477-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectHVDCen_US
dc.subjectOptimal cable routingen_US
dc.subjectTransmission system expansion planningen_US
dc.subjectTransmission system investmentsen_US
dc.subjectTransmission system optimizationen_US
dc.titleTechnology and topology optimization for multizonal transmission systemsen_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1109/TPWRS.2014.2305174-
dc.relation.isPartOfPower Systems, IEEE Transactions on-
pubs.noteskeywords: integer programming;iterative methods;linear programming;power system security;power transmission lines;power transmission planning;probability;AC technology;DC technology;Dijkstra shortest path algorithm;N-1 security criterion;iterative application;linear integer programming;long term multizonal transmission system planning tool;nodal injection capability assessment;probabilistic technique;topology optimization;transmission line route;HVDC transmission;Investment;Optimization;Planning;Power cables;Routing;Topology;HVDC;optimal cable routing;transmission system expansion planning;transmission system investments;transmission system optimization-
pubs.noteskeywords: integer programming;iterative methods;linear programming;power system security;power transmission lines;power transmission planning;probability;AC technology;DC technology;Dijkstra shortest path algorithm;N-1 security criterion;iterative application;linear integer programming;long term multizonal transmission system planning tool;nodal injection capability assessment;probabilistic technique;topology optimization;transmission line route;HVDC transmission;Investment;Optimization;Planning;Power cables;Routing;Topology;HVDC;optimal cable routing;transmission system expansion planning;transmission system investments;transmission system optimization-
pubs.volume29-
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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