University of Twente Student Theses


A Decision Support Tool for the Medium Voltage Networks Expansion Problem

Jurriëns, Stefan (2019) A Decision Support Tool for the Medium Voltage Networks Expansion Problem.

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Abstract:There is tremendous pressure on the energy infrastructure due to the rapid change towards a more sustainable energy system. The adoption of new technologies such as electrical vehicles and heat pumps is a substantial driver for an increasing power consumption. This requires an electrical network that can transport much more energy than we currently have in the Netherlands. Liander has to act quickly to prevent future capacity problems. Manually planning a large network far into the future is incredibly complex. Liander needs algorithms to determine the best expansion strategy for Medium Voltage (MV) networks. The distribution network expansion planning problem can be formulated as a highly constrained, high-dimensional, mixed integer, non-linear combinatorial optimization problem (Sheidler, Thurner, & Braun, 2015). In order to obtain approximate solutions for this problem, we propose two Simulated Annealing (SA) algorithms in this thesis. The first algorithm mitigates capacity problems by using the switches to reconfigure the network. The second algorithm also uses new cable connections as a planning option. Both algorithms were tested in a challenging, real life case study involving a large-scale, highly meshed MV network. Our experiments suggest that both SA algorithms find adequate solutions in a reliable manner.
Item Type:Essay (Master)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:33 physics, 54 computer science
Programme:Industrial Engineering and Management MSc (60029)
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