Enhancing grid asset life expectancy with smart grid technology

Type Master's assignment
Programme Electrical Engineering and Embedded Systems
Contact Gerwin Hoogsteen


The introduction of distributed generation (such as photovoltaic cells) and demanding loads (such as electrical vehicles) can have severe impact on the required investments in distribution networks. Existing grids might not have enough capacity to cope with the increased peak load in the network. This peak load can be avoided using demand side management to do peak-shaving for instance. However, local balance must also be found to comply with the EN 50160 norm regarding Power Quality. To further defer the investments in new grid assets, research is required in the field of wearing of network assets. Extended models are needed to see how certain load profiles affect life expectancy of network assets and to determine what the best strategy is to improve this life expectancy. With the results of this research, new planning strategies in TRIANA might be implemented to improve the life expectancy.

Therefore, advanced models of network assets, such as cables and transformers, have to be added to TRIANA. From the study and models, control strategies can be enhanced to improve network asset life expectancy. If you are interested in this assignment, please contact Gerwin Hoogsteen. Together we will formulate the research questions and find an industrial partner for the master's assignment.