Master's thesis; Security-Constrained Operation of Self-healing Smart-Grids - Under tillsättning eller tillsatt, ej sökbar

Background
In order to reach the goals of the Paris Agreement and Swedish national electrification strategy, there are goals for increasing the number of electric vehicles (EV) and photovoltaics (PV) in Swedish distribution systems. At the same time, distribution systems undergo digitization and their transformation into smart grids. Digitization and more EVs and PVs not only bring benefits, but also introduce new challenges to the operation of distribution systems. These new challenges are reflected in part by new types of disturbances affecting the operation of the distribution systems, such as:

• Sudden shading of PV panels
• Sudden charge/discharge of the EV batteries due to e.g. provision of frequency support services FFR or FCR
• Cyber ​​attacks

With the legacy control in place, distribution systems are likely to more frequently exceed their operating limits, e.g. bus voltage and/or line current limits. To address these new challenges, this master project proposes increased use of the capabilities that come with the transformation of distribution systems into smart grids:

• Better control over the operating point in real time and
• The self-healing abilities of the distribution systems

The master project aims to analyze how effective the use of the aforementioned capabilities is to manage the new types of disturbances and secure operation of the distribution system. The analysis will be made both from a technical and economic perspective by answering how much the mentioned capabilities:

• Reduce the need for further investments in the distribution network reinforcements and
• Increase reliability of the distribution system operation

Work Description
The tasks to be carried out within the master thesis include:

• Literature study on models and methods used in distribution systems’ analysis
• Development/implementation of methods and models in Python or Julia optimization interfaces (Pyomo or JuMP)
• Assembling of relevant case studies and analysis of the obtained results
• Writing of the final report (master thesis)

The master student will have opportunity to actively collaborate with researchers and R&D engineers from RISE Electric Power Systems unit on some of our related ongoing projects.

Qualifications
We are looking for ambitious and motivated candidates with background in the area of electric power systems analysis and/or Applied Optimization. The merits include knowledge in:

• Electric power system analysis
• Optimization
• Python and/or Julia programming

Terms
The project will be performed at Electric Power System Unit at RISE’s premises in Stockholm (KTH campus) over a 6-month period, corresponding to 30 ETCS. For an approved work, a compensation of 30 000 SEK will be awarded.

Welcome with your application!
For more details contact Researcher at Power System Unit Stefan Stanković, stefan.stankovic@ri.se, +46 73 563 60 86. Application deadline is 30 September 2024.