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000257975 005__ 20190613102545.0
000257975 0247_ $$2doi$$a10.23919/PSCC.2018.8450879
000257975 02470 $$a10.23919/PSCC.2018.8450879$$2DOI
000257975 020__ $$a978-1-910963-10-4
000257975 020__ $$a978-1-910963-09-8
000257975 037__ $$aCONF
000257975 245__ $$aAn ADMM-Based Coordination and Control Strategy for PV and Storage to Dispatch Stochastic Prosumers: Theory and Experimental Validation, 2018 Power Systems Computation Conference (PSCC)
000257975 260__ $$aDublin, Ireland$$bPower Systems Computation Conference$$c2018-06-11
000257975 269__ $$a2018-06-11
000257975 300__ $$a7
000257975 336__ $$aConference Papers
000257975 520__ $$aThis paper describes a two-layer control and coordination framework for distributed energy resources. The lower layer is a real-time model predictive control (MPC) executed at 10 s resolution to achieve fine tuning of a given energy setpoint. The upper layer is a slower MPC coordination mechanism based on distributed optimization, and solved with the alternating direction method of multipliers (ADMM) at 5 minutes resolution. It is needed to coordinate the power flow among the controllable resources such that enough power is available in real-time to achieve a pre-established energy trajectory in the long term. Although the formulation is generic, it is developed for the case of a battery system and a curtailable PV facility to dispatch stochastic prosumption according to a trajectory at 5 minutes resolution established the day before the operation. The proposed method is experimentally validated in a real-life setup to dispatch the operation of a building with rooftop PV generation (i.e., 101 kW average load, 350 kW peak demand, 82 kW peak PV generation) by controlling a 560 kWh/720 kVA battery and a 13 k W peak curtailable PV facility.
000257975 6531_ $$aDistributed control
000257975 6531_ $$aEnergy storage systems
000257975 6531_ $$aPhotovoltaic
000257975 6531_ $$aPV
000257975 6531_ $$aADMM
000257975 700__ $$aGupta, Rahul
000257975 700__ $$aSossan, Fabrizio
000257975 700__ $$aScolari, Enrica
000257975 700__ $$aNamor, Emil
000257975 700__ $$aFabietti, Luca
000257975 700__ $$aJones, Colin
000257975 700__ $$aPaolone, Mario
000257975 7112_ $$a20th Power Systems Computation Conference$$cDublin, Ireland$$d11-15 June, 2018
000257975 720_1 $$0245463$$aPaolone, Mario$$g156731
000257975 720_1 $$aRehtanz, Christian
000257975 773__ $$q1-7$$tProceedings of the 20th Power Systems Computation Conference
000257975 8560_ $$fmario.paolone@epfl.ch
000257975 8564_ $$uhttps://infoscience.epfl.ch/record/257975/files/345.pdf$$zFinal$$s714194
000257975 909C0 $$xU12494$$pDESL$$mdarius.farman@epfl.ch$$0252423
000257975 909CO $$qGLOBAL_SET$$pconf$$pSTI$$ooai:infoscience.epfl.ch:257975
000257975 960__ $$amario.paolone@epfl.ch
000257975 973__ $$aEPFL$$rREVIEWED
000257975 980__ $$aCONF
000257975 981__ $$aoverwrite
000257975 999C0 $$xU10364$$xU10366$$xU10365$$pLA$$mchristophe.salzmann@epfl.ch$$0252053$$xU12397$$xU13313