@inproceedings{Mar2016,
Author = {Marie van Amelsvoort, Christian Glomb, Richard Kuntschke, Michael Specht, Marco Wagler, Martin Winter, Rolf Witzmann},
Title = {Schedule Coordination for Technically and Economically Optimized Virtual Power Plants.},

Year = {2016},
Month = {9},
Booktitle = {Conference on Sustainable Energy Supply and Energy Storage Systems 2016 (NEIS 2016)},
type = {inproceedings},
note = {Virtual Power Plants (VPPs) aggregate large numbers of Decentralized Energy Resources (DERs), such as photovoltaic (PV) generators on rooftops, to economically optimize their generation schedules and thereby maximize DER operators’ revenues. However, VPP },
Abstract = {Virtual Power Plants (VPPs) aggregate large numbers of Decentralized Energy Resources (DERs), such as photovoltaic (PV) generators on rooftops, to economically optimize their generation schedules and thereby maximize DER operators’ revenues. However, VPP schedules that are purely optimized according to economic aspects do not take into account the grid constraints of the affected local distribution grids in which the DERs are located. Therefore, VPPs can produce schedules that are actually infeasible in practice since they violate the grid constraints of the local Distribution System Operators (DSOs). As a consequence, DSOs are forced to switch off DERs during schedule execution in order to keep the voltage in their distribution grids  within acceptable limits. This forced DSO interference may ultimately cause the VPPs and their DERs to fail at achieving their economic optimization goals. Instead of generating purely economically optimized VPP schedules, we propose to additionally take the grid constraints of the DSOs into account during VPP schedule computation. Thus, the generated coordinated schedules increase both, grid voltage limit compliance and  VPP/DER  revenue  by  avoiding  critical  grid  states  and  the  subsequent  necessity  of  the  DSOs  to  interfere  with schedule execution by switching off DERs. }
}
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