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Scientific contribution from the RENergetic project – Multi-objective optimization and distributed voltage control

Developmement of algorithms and methods within the RENergetic project at University of Passau lead to scientific publications, among others “Multi-objective Flexibility Disaggregation to Distributed Energy Management Systems” at SIGEnergy Energy Informatics Review and “Max-consensus protocol to determine the regulated node in distributed voltage regulation” at the DACH+ Energy Informatics conference.

The paper “Multi-objective Flexibility Disaggregation to Distributed Energy Management Systems” addresses the question of optimally satisfying an energy flexibility request to a set of energy management systems in an energy community. The paper uses a genetic algorithm to optimize for the objectives of multiple stakeholders, while considering power grid aspects. The proposed algorithm is evaluated on a low-voltage distribution system with 55 households and realistic data sets.

The second accepted paper on “Max-consensus protocol to determine the regulated node in distributed voltage regulation” will be presented at the DACH+ Energy Informatics conference in September 2022. The paper developes a fully decentral consensus mechanism to optimally control voltage regulation algorithm in distribution grids with high photovoltaics penetration.

#SIGEnergy #Publication #Optimization #OpenEMS

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New publication alert!

We are excited to share RENergetic’s latest research titled “Being Accountable is Smart: Navigating the Technical and Regulatory Landscape of AI-based Services for Power Grid”.