Borray, Andrés Felipe CortésMerino, JuliaTorres, EstherMazón, Javier2020-10-15Borray , A F C , Merino , J , Torres , E & Mazón , J 2020 , ' Optimal coordination of PV active power curtailment and evs charging among aggregators ' , Applied Sciences (Switzerland) , vol. 10 , no. 20 , 7176 , pp. 1-12 . https://doi.org/10.3390/app10207176 , https://doi.org/10.3390/app102071762076-3417researchoutputwizard: 11556/1010Publisher Copyright: © 2020 by the authors. Licensee MDPI, Basel, Switzerland.With the growing adoption of electric vehicles (EVs) and residential photovoltaic (PV) systems around the world, the distribution system operators (DSOs) are facing several technical challenges on their network planning and operation, particularly on low-voltage grids. As the aggregators are intermediary actors at that system level, they are a promising figure to coordinate these devices in an aggregated manner to help to mitigate adverse effects like overloading of network assets. However, to do so, proper coordination techniques among these entities and the DSO should be developed to avoid further investments in new network assets. In this context, a centralised coordination strategy among aggregators at the DSO level is proposed. By employing a linear programming model, the optimal export limit of PV and charging profile for each aggregator is dictated by the DSO, maintaining the operational limits of the network assets. A case study on two aggregators with moderate and critical penetration levels was carried out. Results show that, by controlling the aggregated export limit of PV power and the aggregated charging rate of EVs, high penetration levels can be integrated into current networks with minor or no need for reinforcing network infrastructure.124601483enginfo:eu-repo/semantics/openAccessjournal article10.3390/app10207176Active power curtailmentAggregatorElectric vehiclesLinear programmingLow voltage networkPhotovoltaic systemsGeneral Materials ScienceInstrumentationGeneral EngineeringProcess Chemistry and TechnologyComputer Science ApplicationsFluid Flow and Transfer ProcessesSDG 7 - Affordable and Clean EnergySDG 9 - Industry, Innovation, and InfrastructureFunding InfoThe authors also would like to thank the Basque Government (GISEL research group IT1191-19) and the UPV/EHU (GISEL research group 18/181) for their support in this workhttp://www.scopus.com/inward/record.url?scp=85092793013&partnerID=8YFLogxK