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Automated Planning of Smart Low Voltage Networks Using an Evolutionary Algorithm [article]

Julian Wruk, Kevin Christopher Cibis, Markus Zdrallek, Henrik Landsverk, University, My, University, My
2019

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This contribution outlines an automated planning tool for distribution networks. It supports the decision making in the strategic network planning as external factors, such as decentral generation, are gaining a stronger influence. The methodology as well as required input and output parameters are explained. The genetic algorithm used to find the most cost-effective reinforcement plan is detailed. It considers conventional technologies, such as new lines and transformers, as well as innovative
more » ... technologies and measures, such as regulated transformers and Active Network Management systems with curtailment of generators. The usability of the approach is shown by applying the tool to a test case and outlining the results.
doi:10.34890/517 fatcat:723u3lgfuvcrzp4ymtjmudacse
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Julian Wruk, Kevin Christopher Cibis, Markus Zdrallek, Henrik Landsverk, University, My, University, My. "Automated Planning of Smart Low Voltage Networks Using an Evolutionary Algorithm." (2019)