Robust flexibility needs assessment with bid matching framework for distribution network operators

For market-based procurement of low-voltage flexibility, DSOs identify the amount flexibility needed for resolving probable distribution network (DN) voltage and thermal congestion. A framework is required to avoid over or under-procurement in presence uncertainty. To this end, we propose a scenario-based robust chance-constrained (CC) day-ahead needs assessment (FNA) framework. The CC level analogous risk DSO willing take planning. Multi-period optimal power flow performed calculate issues. Future uncertainties are considered as multiple scenarios, which utilized solve (FNA-OPF) problem. FNA tool calculates temporal locational ramp-up ramp-down DN. We also Pareto mechanism selecting reduce while reducing DN Zonal clustering feeder using electrical distance measure, with spatial partitioning silhouette coefficient. Further, zonal nodal bid matching algorithm proposed, where alternate bids same zone identified case not exact, compared calculated FNA. proposed assists system operator selection by avoiding rerunning evaluations. leads more than 43% additional reduction incidents naive matching. Furthermore, real German 646 nodes 331 consumers.