To main content

Iver Bakken Sperstad

Research Scientist

Iver Bakken Sperstad

Research Scientist

Iver Bakken Sperstad
Phone: 416 98 558
Email:
Department: Energy Systems
Office: Trondheim

Publications and responsibilities

Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1821215

The power system is transitioning from the traditional one-way system to a more integrated and complex system with more active end-users and with generation and reverse power flow at the distribution level. As a part of this transition, flexible resources such as energy storage systems, electrical v...

Year 2020
Type Journal publication
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1818875

This project memo documents work carried out on investigating the importance of using dynamic analysis to analyse contingencies that could potentially result in high-impact low-probability (HILP) events. It takes as a starting point a set of potentially critical contingencies in a four-area test net...

Authors Jakobsen Sigurd Hofsmo Sperstad Iver Bakken Solvang Espen Hafstad
Year 2020
Type Report/thesis
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1818873

This document gives an overview of the research work and results (research outputs or deliverables) of the project “Analysis of extraordinary events in power systems” (the HILP project). It summarizes the following types of results produced with support from the project: scientific articles, memos, ...

Year 2020
Type Report/thesis
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1764834

Electric power systems are critical infrastructures subject to the possibility of extraordinary events with high societal consequences. Although such possibilities are often associated with very low probabilities of being realized, it is nevertheless crucial to be able to identify and understand the...

Year 2020
Type Journal publication
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1740311

Some grid data sets contain only electrical parameters, but not the individual transmission line lengths. The failure rates of transmission lines are often estimated based on aggregated statistics given in failure rate per unit length of transmission line. These failure rates are key input parameter...

Year 2019
Type Part of a book/report