Fast parallel quasi-static time series simulator for active distribution grid operation with pandapower
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The increasing penetration from intermittent renewable distributed energy resources in distribution grid brings along challenges in grid operation and planning. To evaluate the impact on the grid voltage profile, grid losses, and discrete actions from assets (e.g. transformer tap changes), quasi-static simulation is an appropriate method. Quasi-static time series and Monte-Carlo simulation requires a tremendous number of power flow calculations (PFCs), which can be significantly accelerated with a parallel High-Performance Computing (HPC)-PFC solver. In this paper, we propose a HPC-PFC-solver-based grid simulation (parallel simulation) approach for a multi-core CPU platform as well as a greedy method, which can prevent the errors caused by simultaneous parallel simulation. The performance of the proposed approach and the comparison is demonstrated with two use cases.
@inproceedings{doi:10.17170/kobra-202403309882,
author ={Wang, Zhenqi and Liu, Zheng and Kraiczy, Markus and Bornhorst, Nils and Wende-von Berg, Sebastian and Braun, Martin},
keywords ={620 and Erneuerbare Energien and Stufenschalter and Zeitreihe and Verteilungsnetz and Monte-Carlo-Simulation},
title ={Fast parallel quasi-static time series simulator for active distribution grid operation with pandapower},
copyright ={http://creativecommons.org/licenses/by/4.0/},
language ={en},
year ={2021}
}