Gupta, Rahul
Sossan, Fabrizio
Scolari, Enrica
Namor, Emil
Fabietti, Luca
Jones, Colin
Paolone, Mario
Paolone, Mario
Rehtanz, Christian
An ADMM-Based Coordination and Control Strategy for PV and Storage to Dispatch Stochastic Prosumers: Theory and Experimental Validation, 2018 Power Systems Computation Conference (PSCC)
Proceedings of the 20th Power Systems Computation Conference
Proceedings of the 20th Power Systems Computation Conference
Proceedings of the 20th Power Systems Computation Conference
Proceedings of the 20th Power Systems Computation Conference
7
Distributed control
Energy storage systems
Photovoltaic
PV
ADMM
2018
2018-06-11
This 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.
Power Systems Computation Conference
978-1-910963-10-4
Proceedings of the 20th Power Systems Computation Conference
Conference Papers
10.23919/PSCC.2018.8450879