This paper proposes a tool for the optimal real-time management of the resources of a renewable energy community. According to Italian Regulations, the renewable energy community members are fed by distribution networks connected to the upstream high-voltage network through the same substation. The community includes renewable energy systems, battery energy storage systems, and controllable and non-controllable loads. The proposed approach implements the optimal operation within a probabilistic framework and is aimed at maximising the community's shared energy, providing demand response to the distribution network, and providing available capacity for delivering services to the distribution grid and/or to the upstream grid. Numerical applications allow testing of the proposed real-time control tool showing its potential in terms of monitoring and control of the resources and of the required services.
Real-Time Control of Renewable Community Energy Resources Including Demand Response Providers / Mottola, F.; Proto, D.. - (2024), pp. 01-06. ( 24th EEEIC International Conference on Environment and Electrical Engineering and 8th I and CPS Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2024 Sapienza University of Rome, Faculty of Engineering, Via Eudossiana, 18, ita 2024) [10.1109/EEEIC/ICPSEurope61470.2024.10751050].
Real-Time Control of Renewable Community Energy Resources Including Demand Response Providers
Mottola F.;Proto D.
2024
Abstract
This paper proposes a tool for the optimal real-time management of the resources of a renewable energy community. According to Italian Regulations, the renewable energy community members are fed by distribution networks connected to the upstream high-voltage network through the same substation. The community includes renewable energy systems, battery energy storage systems, and controllable and non-controllable loads. The proposed approach implements the optimal operation within a probabilistic framework and is aimed at maximising the community's shared energy, providing demand response to the distribution network, and providing available capacity for delivering services to the distribution grid and/or to the upstream grid. Numerical applications allow testing of the proposed real-time control tool showing its potential in terms of monitoring and control of the resources and of the required services.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


