Automation of DSO processes combining grid planning and operation: An efficient way to handle large numbers of connection requests
Philipp Erlinghagen, Robin Ashrafuzzaman, Felix Glinka, Peter Mathis, Benjamin Jambor, Woltering, Steffen · CIRED · 2019
The worldwide efforts to reduce CO2 and NOX emissions lead to a rapid increase in the installation of distributed generation, load and storage systems in the distribution grids. A direct result is a vast increase of the number of connection requests that have to be evaluated by distribution system operators. To handle the technical and economic evaluation efficiently, new methods for data gathering, aggregation, handling and calculation are necessary to benefit from innovative methods like optimization and machine learning.This paper presents a novel tool for the migration of data and automation of technical processes, exemplarily showing the benefit of automatic placement and evaluation of charging stations for electric vehicles. Additionally, an insight into the benefits of combining measurement data with static, technical data in the context of calculation, assessment and planning of electrical grids within one platform is given. First evaluations of implementations show that the effort for technical processes like connection requests can be reduced drastically by the methods presented.