Neue Energie aus Wuppertal / An Optimisation Approach to Automated Strategic Network Planning at Low-Voltage Level
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Beschreibung
An automation and optimisation approach to strategic network planning at low-voltage level is presented. Traditional as well as novel measures are taken into account for network reinforcement.
As a consequence of international goals to reduce greenhouse gas emissions, the power system is undergoing a major transformation process along the entire value chain. One pillar of the employed strategies is generating electricity from renewable energy sources with generators usually connected to the distribution networks. However, as these networks were not designed for such a purpose it is expected that many of them can no longer be operated within technical and legal limits. Such constraints are given by impermissible voltage levels or thermal overloading of assets due to impermissibly high currents. To prevent such constraints, the network capacity needs to be increased by reinforcing the networks. Consequently, network operators are facing new challenges when planning and operating their networks, especially at low-voltage level. To derive the optimal reinforcement strategy, a modular automation and optimisation approach to strategic network planning at low-voltage level was developed by the author and is presented in this dissertation. In the approach, a genetic algorithm is customised and traditional measures as well as novel assets and operational schemes are taken into account for network reinforcement.
Autor*in
Julian Wruk
Julian Wruk studierte Wirtschaftsingenieurwesen an der Technischen Universität Dortmund. Er arbeitete anschließend in einer Unternehmensberatung bis er zur Bergischen Universität Wuppertal wechselte, um sich dort als wissenschaftlicher Mitarbeiter mit der Planung von Stromverteilungsnetzen zu beschäftigen.
Themen in »Neue Energie aus Wuppertal / An Optimisation Approach to Automated Strategic Network Planning at Low-Voltage Level«
Netzplanung Genetischer Algorithmus Verteilungsnetze Energiewende Network Planning