PhD Student in Probabilistic Analysis of Electricity Distribution Systems - Hiring in process/Finished, not possible to apply

In the subject of Engineering Physics at the Ångström Laboratory, Department of Engineering Sciences, with admission 1 July 2018 or by agreement.

We are looking for a graduate student to the Built Environment Energy Systems Group (BEESG) at the Department of Engineering Sciences. The PhD student will develop and apply state-of-the-art simulation models for probabilistic analysis of electricity distribution grid operation and performance.

The availability of hourly meter data for medium- and low-voltage customers in combination with improved meteorological data from satellites and dense sensor networks has opened up the possibility to significantly improve modeling of both demand and on-site renewable supply in medium and low voltage networks. The aim of this PhD project is to develop statistical models for consumption and generation that take into account stochastic fluctuations in demand as well as spatial smoothing effects (e.g., fluctuations in solar irradiance due to cloud movements), and integrate these into a simulation environment for probabilistic load flow (PLF) analysis of distribution systems.

The project will involve development of probabilistic spatio-temporal load and generation models in distribution grids as well as statistical models for realistic deployment of new technologies in distribution grids, based on market diffusion modeling. Probabilistic load flow simulations of medium and low voltage networks will be performed to estimate hosting capacity for a large number of different grid types, and optimal portfolios of methods to increase hosting capacity for new technologies in different scenarios will be proposed. The PhD student will build on our existing and currently developed models and will work closely together with other members of our research team as well as with international collaborators. The project is performed within the Swedish Centre for Smart Grids and Energy Storage (SweGRIDS) in collaboration with industrial partners.

The candidate must hold an MSc degree in power systems, energy systems or other areas relevant to the PhD topic, preferably combined with a strong background in mathematics and computer simulation. The candidate should also have good collaborative skills as well as independence in their work. Fluency in speaking and writing English is mandatory for the position.

Departmental duties, usually teaching, will at most cover 20%. Information about graduate studies are available at the department website http://www.teknik.uu.se and the Science and Technology Faculty website, http://www.teknat.uu.se. Local guidelines for salary apply.

Applications should include a brief description of research interests and past experience, a CV, copies of diplomas, certificates, copy of the thesis and other relevant documents. We want you to provide details of referees and/or attach letters of recommendation.

Uppsala University strives to be an inclusive workplace that promotes equal opportunities and attracts qualified candidates who can contribute to the University’s excellence and diversity. We welcome applications from all sections of the community and from people of all backgrounds.

Salary: According to local agreement for PhD students and teaching assistants.
 
Starting date: 1 July 2018 or by agreement.

Type of position: Full time position.

For further information about the position please contact
Associate Professor Joakim Widén, email: joakim.widen@angstrom.uu.se, phone 018-471 3782.

Please submit your application by 31 May 2018, UFV-PA 2018/479.

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