PhotoVoltaic (PV) plants can bring a positive impact on the sustainability of electric grids. Its variability and uncertainty, however, leads to challenging technical problems related to the efficient and secure operations of power systems. In this paper, a novel hybrid methodology for the day-ahead PV power forecasting is proposed. The...
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2019 (v1)PublicationUploaded on: April 14, 2023
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2023 (v1)Publication
This work proposes an optimal power management strategy for shipboard microgrids equipped with diesel generators and a battery energy storage system. The optimization provides both the unit commitment and the optimal power dispatch of all the resources, in order to ensure reliable power supply at minimum cost and with minimum environmental...
Uploaded on: February 4, 2024 -
2023 (v1)Publication
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Uploaded on: February 4, 2024 -
2024 (v1)Publication
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Uploaded on: September 3, 2024 -
2019 (v1)Publication
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Uploaded on: April 14, 2023 -
2019 (v1)Publication
No description
Uploaded on: April 14, 2023 -
2019 (v1)Publication
An energy model for non-residential buildings based on state space equations has been developed and experimentally validated. This model can predict with precision the Heating Ventilation and Air Conditioning (HVAC) system energy consumption considering several variables including temperature setpoints, external temperature, humidity, wind...
Uploaded on: October 11, 2023 -
2019 (v1)Publication
No description
Uploaded on: March 27, 2023 -
2023 (v1)Publication
The efforts toward a sustainable society require the increasing adoption of Renewable Energy Sources (RESs) at all levels of the power grid. Installation of energy storage systems is a key intervention for managing the new security and environmental needs brought by the RESs volatility. This is especially important for transmission networks...
Uploaded on: January 31, 2024 -
2022 (v1)Publication
This paper proposes a control strategy for a Reverse Fuel Cell used to manage a Renewable Energy Community. A two-stage scenario-based Model Predictive Control algorithm is designed to define the best economic strategy to be followed during operation. Renewable energy generation and users' demand are forecasted by a suitably defined Discrete...
Uploaded on: February 4, 2024 -
2019 (v1)Publication
This paper presents an algorithm for the optimal management and control of a Microgrid, both grid-connected and in islanding mode, based on a Mixed Integer Linear Programming (MILP) formulation. The proposed procedure is able to manage a system composed of diesel generators, photovoltaic and wind plants, storage devices and non-controllable...
Uploaded on: April 14, 2023