The increased use of renewable energies is promoting decarbonisation and increasing the load on electricity distribution networks, forcing the responsible distribution network operators to reassess and redesign their networks. In the recently published study"Distribution Network Optimisation: Predicting computation times to design scenario analysis for network operators", we focus on infrastructural decomposition, in which the distribution network is broken down into several parts and planning problems, which are then optimised separately.
Based on empirical requirements from the literature and discussions with experts, we present an innovative mixed-integer linear optimisation model that enables exact solution approaches for realistically large distribution networks. We perform extensive computational experiments and a sensitivity analysis to establish relationships between the values of the model parameters and the computation times required to solve the model instances to optimality.
Our article (authors: Sascha Burmeister and Guido Schryen) was published in the Springer Journal Energy Systems. The authors gratefully acknowledge the financial support of the European Regional Development Fund (ERDF) under FlexiEnergy (project number 0801186, EU-2-1-028) and the funding of this project by computing time provided by the Paderborn Centre for Parallel Computing (PC²).
The publication is available for download at the following address: ris.uni-paderborn.de/record/42179.
