Dynamic Scenario Modelling in Electricity Distribution System Asset Management

The life of individuals, societal welfare and global economics are deeply interconnected with power systems in a multidimensional manner. A change in one entity affects the whole system. This thesis is a research journey from electrical distribution systems to global economics, and finally to power transformer unit asset management. The objective is to investigate dynamic scenario modelling in power system asset management and apply it to a distribution system operator’s power transformer fleet assets. The asset management of a distribution system is directly coupled to the economy, both globally and locally. Economic attributes affect electrical network asset management from many directions simultaneously: electricity demand, network expansion requirements, and component, construction and operational expenditures. A comprehensive cost function is formed and applied with different economic scenarios for asset management. Revealing the dynamics of power transformer asset management with scenarios is relevant in an increasingly turbulent global environment. This thesis offers an approach to assess the techno-economic dependencies in electricity distribution system asset management for more pertinent decision making. Understanding the dynamic balance between asset management and overall expenses is increasingly important while seeking economic efficiency and return on investments.

Department dc:contributor.department

Sähkötekniikan laitos

Grantor dc:publisher

Aalto University

Year dc:date.issued

2014

Author dc:creator

• Palola, Jussi

Advisors dc:contributor.advisor

• Hyvärinen, Markku, Dr., Helen Electricity Network Ltd., Network Development, Finland
• Lehtonen, Matti, Prof., Aalto University, Department of Electrical Engineering, Finland

Contributors dc:contributor

• Aalto-yliopisto
• Aalto University

Language dc:language.iso

en

Repository record dc:identifier.uri

https://aaltodoc.aalto.fi/handle/123456789/12102

OAI record oai:identifier

https://aaltodoc.aalto.fi/server/oai/request?verb=GetRecord&metadataPrefix=dim&identifier=oai%3Aaaltodoc.aalto.fi%3A123456789%2F12102