Electrical networks and economies of load density

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Hyvärinen, Markku
dc.date.accessioned 2012-08-21T07:47:43Z
dc.date.available 2012-08-21T07:47:43Z
dc.date.issued 2008
dc.identifier.isbn 978-951-22-9658-3
dc.identifier.isbn 978-951-22-9657-6 (printed) #8195;
dc.identifier.issn 1795-4574
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/4555
dc.description.abstract The objective of this thesis is to determine electrical network cost and cost structure depending on load density. Load density together with a defined customer mix directly determines the supply task, i.e., the number of connection points and their density in a geographical area as well as their load profiles. Load density indirectly determines the construction conditions since higher load density means a higher building efficiency which in turn leads to restrictions in land use and more strict structural requirements. The applied methodology adopts features from several engineering-economic approaches with the three basic steps: (1) Description of the supply task including relevant characteristics of the service area. (2) Network generation. Linear approximations of cost functions for lines and substations are used together with geometrical models of symmetrical and homogeneous load dispersion to determine optimal substation spacings. (3) Monetary assessment of the generated asset structure including operational and maintenance costs. The cost-effects of different external cost-drivers are incorporated into the applied cost functions. All network levels from low voltage connections up to EHV substations are included. Additionally, reliability indices are determined for the model network sample feeders with different mitigation strategies. Actual substation service areas are used as references to the calculated results. Additionally, based on the connection point data of these reference substation areas, another reference medium voltage network is created using an optimization algorithm developed at Helsinki University of Technology, Department of Electrical Engineering. Using the model network approach, cost is determined for networks in rural, suburban, urban and urban core zones. The cost structure and level varies from zone to zone depending on the allowed equipment, share of open space and customer mix. When moving towards the highest load densities in urban and urban core areas, the cost lowering caused by higher connection point density is attenuated due to the higher unit cost of equipment. The created analytic and geometric network model, even with massive simplifications, is proven suitable for estimating the network volume and cost for different zones and load densities. The applied methodology forms a qualified framework for further development of the model network approach. en
dc.format.extent Verkkokirja (6234 KB, 138 s.)
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher Teknillinen korkeakoulu en
dc.relation.ispartofseries TKK dissertations, 146 en
dc.subject.other Electrical engineering en
dc.title Electrical networks and economies of load density en
dc.type G4 Monografiaväitöskirja fi
dc.contributor.department Sähkötekniikan laitos fi
dc.subject.keyword transmission and distribution network en
dc.subject.keyword load density en
dc.subject.keyword cost en
dc.subject.keyword cost structure en
dc.subject.keyword cost drivers en
dc.subject.keyword external factors en
dc.identifier.urn URN:ISBN:978-951-22-9658-3
dc.type.dcmitype text en
dc.type.ontasot Väitöskirja (monografia) fi
dc.type.ontasot Doctoral dissertation (monograph) en


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