Ricerche, contributi e relazioni

A. Prevedi, J. D. Rios Penaloza, T. Pontecorvo, F. Napolitano, F. Tossani, A. Borghetti, C.A. Nucci

2023 International Conference on Smart Energy Systems and Technologies (SEST), Mugla, Turkiye, 2023, pp. 1-6, doi: 10.1109/SEST57387.2023.10257402.

Abstract — The development of an advanced Energy Management System (EMS) able to collect power or energy measurements from remote sensors or smart meters and to provide power setpoint to the battery energy systems is a key element for the optimal operation of a Renewable Energy Community (REC). The proposed EMS is able to minimize the energy procurement cost of the community as well as maximizing the energy shared among the REC members, taking into account the one having renewable origin only, as batteries can be charged also from the external grid. The optimization
procedure is developed on the basis of a rolling-horizon approach that allows taking advantage of the updated forecasts
of PV generation and load demand, controlling the batteries setpoint according to the current operational conditions of the community resources. The paper presents the results obtained for a set up in which the EMS is interfaced with a real-time simulator and uses current and/or past data coming from devices capable of smart meter reading and from non-intrusive load monitoring devices installed in an urban district. The proposed approach is tested in two settings: in the first, the simulator represents a battery storage unit while meters data are coming from real prosumers/consumers devices; in the second, the simulator, in addition to the battery storage unit, represents also a virtual REC along with its meters. The method is useful for planning purposes and to evaluate different scenarios.

Stefano Lilla, Camilo Orozco, Alberto Borghetti, Fabio Napolitano, Fabio Tossani

IEEE Transactions on Power Systems ( Volume: 35, Issue: 2, March 2020), DOI: 10.1109/TPWRS.2019.2944541

Abstract:
The paper focuses on the day-ahead operational planning of a grid-connected local energy community (LEC) consisting of an internal low-voltage network and several prosumers including generation units, battery storage systems, and local loads. In order to preserve, as much as possible, the confidentiality of the features of prosumers' equipment and the production and load forecasts, the problem is addressed by designing a specific distributed procedure based on the alternating direction method of multipliers (ADMM). The distributed procedure calculates the scheduling of the available energy resources to limit the balancing action of the external grid and allocates the internal network losses to the various power transactions. Results obtained for various case studies are compared with those obtained by a centralized optimization approach. The results confirm that, in the considered LEC framework, each of the prosumers achieves a reduction in costs or increases revenues in case it participates to the LEC with respect to the case in which it can only transact with an external energy provider.