This page has only limited features, please log in for full access.

Prof. Dr. Federico Silvestro
Department of Electrical, Electronics and Telecommunication Engineering and Naval Architecture (DITEN), University of Genoa, Via Opera Pia 11 A, I-16145 Genova, Italy

Basic Info


Research Keywords & Expertise

0 Power system modelling and control
0 Power system dynamics and market operation
0 Stochastic programming and optimization
0 Distribution network management and operation
0 Real-time control and management of electrical loads

Fingerprints

Real-time control and management of electrical loads

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 19 June 2021 in Energies
Reads 0
Downloads 0

The VIRTUS project aims to create a Virtual Power Plant (VPP) prototype coordinating the Distributed Energy Resources (DERs) of the power system and providing services to the system operators and the various players of the electricity markets, with a particular focus on the industrial sector agents. The VPP will be able to manage a significant number of DERs and simulate realistic plants, components, and market data to study different operating conditions and the future impact of the policy changes of the Balancing Markets (BM). This paper describes the project’s aim, the general structure of the proposed framework, and its optimization and simulation modules. Then, we assess the scalability of the optimization module, designed to provide the maximum possible flexibility to the system operators, exploiting the simulation module of the VPP.

ACS Style

Stefano Bianchi; Allegra De Filippo; Sandro Magnani; Gabriele Mosaico; Federico Silvestro. VIRTUS Project: A Scalable Aggregation Platform for the Intelligent Virtual Management of Distributed Energy Resources. Energies 2021, 14, 3663 .

AMA Style

Stefano Bianchi, Allegra De Filippo, Sandro Magnani, Gabriele Mosaico, Federico Silvestro. VIRTUS Project: A Scalable Aggregation Platform for the Intelligent Virtual Management of Distributed Energy Resources. Energies. 2021; 14 (12):3663.

Chicago/Turabian Style

Stefano Bianchi; Allegra De Filippo; Sandro Magnani; Gabriele Mosaico; Federico Silvestro. 2021. "VIRTUS Project: A Scalable Aggregation Platform for the Intelligent Virtual Management of Distributed Energy Resources." Energies 14, no. 12: 3663.

Journal article
Published: 30 April 2021 in International Journal of Electrical Power & Energy Systems
Reads 0
Downloads 0

This paper proposes a control method for allowing aggregates of thermostatically controlled loads to provide synthetic inertia and primary frequency regulation services to the grid. The proposed control framework is fully distributed and basically consists in the modification of the thermostat logic as a function of the grid frequency. Three strategies are considered: in the first one, the load aggregate provides synthetic inertia by varying its active power demand proportionally to the frequency rate of change; in the second one, the load aggregate provides primary frequency regulation by varying its power demand proportionally to frequency; in the third one, the two services are combined. The performances of the proposed control solutions are analyzed in the forecasted scenario of the electric power system of Sardinia in 2030, characterized by a huge installation of wind and photovoltaic generation and no coil and combustible oil power plants. The considered load aggregate is composed by domestic refrigerators and water heaters. Results prove the effectiveness of the proposed approach and show that, in the particular case of refrigerators and water heaters, the contribution to the frequency regulation is more significant in the case of positive frequency variations. Finally, the correlation between the regulation performances and the level of penetration of the load aggregate with respect to the system total load is evaluated.

ACS Style

F. Conte; M. Crosa di Vergagni; S. Massucco; F. Silvestro; E. Ciapessoni; D. Cirio. Performance analysis of frequency regulation services provided by aggregates of domestic thermostatically controlled loads. International Journal of Electrical Power & Energy Systems 2021, 131, 107050 .

AMA Style

F. Conte, M. Crosa di Vergagni, S. Massucco, F. Silvestro, E. Ciapessoni, D. Cirio. Performance analysis of frequency regulation services provided by aggregates of domestic thermostatically controlled loads. International Journal of Electrical Power & Energy Systems. 2021; 131 ():107050.

Chicago/Turabian Style

F. Conte; M. Crosa di Vergagni; S. Massucco; F. Silvestro; E. Ciapessoni; D. Cirio. 2021. "Performance analysis of frequency regulation services provided by aggregates of domestic thermostatically controlled loads." International Journal of Electrical Power & Energy Systems 131, no. : 107050.

Journal article
Published: 08 March 2021 in IEEE Transactions on Industry Applications
Reads 0
Downloads 0

The goal of this paper is the experimental validation of a gray-box equivalent modeling approach applied to microgrids. The main objective of the equivalent modeling is to represent the dynamic response of a microgrid with a simplified model. The main contribution of this work is the experimental validation of a two-step process, composed by the definition of a nonlinear equivalent model with operational constraints, adapted to the microgrid environment, and the identification procedure used to define the model parameters. Once the parameters are identified, the simplified model is ready to reproduce the microgrid behavior to voltage and frequency variations, in terms of active and reactive power exchanges at the point of common coupling. To validate the proposed approach, a set of experimental tests have been carried out on a real LV microgrid considering different configurations, including both grid-connected and islanded operating conditions. Results show the effectiveness of the proposed technique and the applicability of the model to perform dynamic simulations.

ACS Style

Francesco Conte; Fabio D'Agostino; Stefano Massucco; Federico Silvestro; Claudio Luciano Bossi; Mattia Cabiati. Experimental Validation of a Dynamic Equivalent Model for Microgrids. IEEE Transactions on Industry Applications 2021, 57, 2202 -2211.

AMA Style

Francesco Conte, Fabio D'Agostino, Stefano Massucco, Federico Silvestro, Claudio Luciano Bossi, Mattia Cabiati. Experimental Validation of a Dynamic Equivalent Model for Microgrids. IEEE Transactions on Industry Applications. 2021; 57 (3):2202-2211.

Chicago/Turabian Style

Francesco Conte; Fabio D'Agostino; Stefano Massucco; Federico Silvestro; Claudio Luciano Bossi; Mattia Cabiati. 2021. "Experimental Validation of a Dynamic Equivalent Model for Microgrids." IEEE Transactions on Industry Applications 57, no. 3: 2202-2211.

Journal article
Published: 28 August 2020 in Sustainable Energy, Grids and Networks
Reads 0
Downloads 0

One of the fundamental concerns in the operation of modern power systems is the assessment of their frequency stability in case of inertia-reduction induced by the large share of power electronic interfaced resources. Within this context, the paper proposes a framework that, by making use of linear models of the frequency response of different types of power plants, including also grid–forming and grid–following converters, is capable to infer a numerically tractable dynamical model to be used in frequency stability assessment. Furthermore, the proposed framework makes use of models defined in a way such that their parameters can be inferred from real-time measurements feeding a classical least squares estimator. The paper validates the proposed framework using a full-replica of the dynamical model of the IEEE 39 bus system simulated in a real–time platform.

ACS Style

Francesco Conte; Stefano Massucco; Mario Paolone; Giacomo Piero Schiapparelli; Federico Silvestro; Yihui Zuo. Frequency stability assessment of modern power systems: Models definition and parameters identification. Sustainable Energy, Grids and Networks 2020, 23, 100384 .

AMA Style

Francesco Conte, Stefano Massucco, Mario Paolone, Giacomo Piero Schiapparelli, Federico Silvestro, Yihui Zuo. Frequency stability assessment of modern power systems: Models definition and parameters identification. Sustainable Energy, Grids and Networks. 2020; 23 ():100384.

Chicago/Turabian Style

Francesco Conte; Stefano Massucco; Mario Paolone; Giacomo Piero Schiapparelli; Federico Silvestro; Yihui Zuo. 2020. "Frequency stability assessment of modern power systems: Models definition and parameters identification." Sustainable Energy, Grids and Networks 23, no. : 100384.

Journal article
Published: 11 August 2020 in Electric Power Systems Research
Reads 0
Downloads 0

This paper presents a method to determine the optimal location, energy capacity, and power rating of distributed battery energy storage systems at multiple voltage levels to accomplish grid control and reserve provision. We model operational scenarios at a one-hour resolution, where deviations of stochastic loads and renewable generation (modeled through scenarios) from a day-ahead unit commitment and violations of grid constraints are compensated by either dispatchable power plants (conventional reserves) or injections from battery energy storage systems. By plugging-in costs of conventional reserves and capital costs of converter power ratings and energy storage capacity, the model is able to derive requirements for storage deployment that achieve the technical-economical optimum of the problem. The method leverages an efficient linearized formulation of the grid constraints of both the HV (High Voltage) and MV (Medium Voltage) grids while still retaining fundamental modeling aspects of the power system (such as transmission losses, effect of reactive power, OLTC at the MV/HV interface, unideal efficiency of battery energy storage systems) and models of conventional generator. A proof-of-concept by simulations is provided with the IEEE 9-bus system coupled with the CIGRE’ benchmark system for MV grids, realistic costs of power reserves, active power rating and energy capacity of batteries, and load and renewable generation profile from real measurements.

ACS Style

Stefano Massucco; Paola Pongiglione; Federico Silvestro; Mario Paolone; Fabrizio Sossan. Siting and Sizing of Energy Storage Systems: Towards a Unified Approach for Transmission and Distribution System Operators for Reserve Provision and Grid Support. Electric Power Systems Research 2020, 190, 106660 .

AMA Style

Stefano Massucco, Paola Pongiglione, Federico Silvestro, Mario Paolone, Fabrizio Sossan. Siting and Sizing of Energy Storage Systems: Towards a Unified Approach for Transmission and Distribution System Operators for Reserve Provision and Grid Support. Electric Power Systems Research. 2020; 190 ():106660.

Chicago/Turabian Style

Stefano Massucco; Paola Pongiglione; Federico Silvestro; Mario Paolone; Fabrizio Sossan. 2020. "Siting and Sizing of Energy Storage Systems: Towards a Unified Approach for Transmission and Distribution System Operators for Reserve Provision and Grid Support." Electric Power Systems Research 190, no. : 106660.

Journal article
Published: 11 July 2020 in Energies
Reads 0
Downloads 0

Recent and strict regulations in the maritime sector regarding exhaust gas emissions has led to an evolution of shipboard systems with a progressive increase of complexity, from the early utilization of electric propulsion to the realization of an integrated shipboard power system organized as a microgrid. Therefore, novel approaches, such as the model-based design, start to be experimented by industries to obtain multiphysics models able to study the impact of different designing solutions. In this context, this paper illustrates in detail the development of a multiphysics simulation framework, able to mimic the behaviour of a DC electric ship equipped with electric propulsion, rotating generators and battery energy storage systems. The simulation platform has been realized within the retrofitting project of a Ro-Ro Pax vessel, to size components and to validate control strategies before the system commissioning. It has been implemented on the Opal-RT simulator, as the core component of the future research infrastructure of the University of Genoa, which will include power converters, storage systems, and a ship bridge simulator. The proposed model includes the propulsion plant, characterized by propellers and ship dynamics, and the entire shipboard power system. Each component has been detailed together with its own regulators, such as the automatic voltage regulator of synchronous generators, the torque control of permanent magnet synchronous motors and the current control loop of power converters. The paper illustrates also details concerning the practical deployment of the proposed models within the real-time simulator, in order to share the computational effort among the available processor cores.

ACS Style

Fabio D’Agostino; Daniele Kaza; Michele Martelli; Giacomo-Piero Schiapparelli; Federico Silvestro; Carlo Soldano. Development of a Multiphysics Real-Time Simulator for Model-Based Design of a DC Shipboard Microgrid. Energies 2020, 13, 3580 .

AMA Style

Fabio D’Agostino, Daniele Kaza, Michele Martelli, Giacomo-Piero Schiapparelli, Federico Silvestro, Carlo Soldano. Development of a Multiphysics Real-Time Simulator for Model-Based Design of a DC Shipboard Microgrid. Energies. 2020; 13 (14):3580.

Chicago/Turabian Style

Fabio D’Agostino; Daniele Kaza; Michele Martelli; Giacomo-Piero Schiapparelli; Federico Silvestro; Carlo Soldano. 2020. "Development of a Multiphysics Real-Time Simulator for Model-Based Design of a DC Shipboard Microgrid." Energies 13, no. 14: 3580.

Journal article
Published: 13 September 2019 in IEEE Transactions on Sustainable Energy
Reads 0
Downloads 0

The paper proposes an optimal management strategy for a system composed by a battery and a photovoltaic power plant. This integrated system is called to deliver the photovoltaic power and to simultaneously provide droop-based primary frequency regulation to the main grid. The battery state-of-energy is controlled by power offset signals, which are determined using photovoltaic energy generation forecasts and predictions of the energy required to operate frequency regulation. A two level control architecture is developed. A day-ahead planning algorithm schedules the energy profile which is traded at the day-ahead market and defines the primary control reserve that the integrated system is able to provide in the considered day. During the day operations, a second level algorithm corrects the dispatched plan using updated information, in order to guarantee a continuous and reliable service. Both control algorithms take into account the uncertainties of the photovoltaic generation and of the frequency dynamics using stochastic optimization.

ACS Style

Francesco Conte; Stefano Massucco; Giacomo-Piero Schiapparelli; Federico Silvestro. Day-Ahead and Intra-Day Planning of Integrated BESS-PV Systems Providing Frequency Regulation. IEEE Transactions on Sustainable Energy 2019, 11, 1797 -1806.

AMA Style

Francesco Conte, Stefano Massucco, Giacomo-Piero Schiapparelli, Federico Silvestro. Day-Ahead and Intra-Day Planning of Integrated BESS-PV Systems Providing Frequency Regulation. IEEE Transactions on Sustainable Energy. 2019; 11 (3):1797-1806.

Chicago/Turabian Style

Francesco Conte; Stefano Massucco; Giacomo-Piero Schiapparelli; Federico Silvestro. 2019. "Day-Ahead and Intra-Day Planning of Integrated BESS-PV Systems Providing Frequency Regulation." IEEE Transactions on Sustainable Energy 11, no. 3: 1797-1806.

Journal article
Published: 18 June 2019 in International Shipbuilding Progress
Reads 0
Downloads 0
ACS Style

Alessandro Boveri; Giovanni Alberto Di Mare; Diego Rattazzi; Paola Gualeni; Loredana Magistri; Federico Silvestro. Shipboard distributed energy resources: Motivations, challenges and possible solutions in the cruise ship arena. International Shipbuilding Progress 2019, 66, 181 -199.

AMA Style

Alessandro Boveri, Giovanni Alberto Di Mare, Diego Rattazzi, Paola Gualeni, Loredana Magistri, Federico Silvestro. Shipboard distributed energy resources: Motivations, challenges and possible solutions in the cruise ship arena. International Shipbuilding Progress. 2019; 66 (2):181-199.

Chicago/Turabian Style

Alessandro Boveri; Giovanni Alberto Di Mare; Diego Rattazzi; Paola Gualeni; Loredana Magistri; Federico Silvestro. 2019. "Shipboard distributed energy resources: Motivations, challenges and possible solutions in the cruise ship arena." International Shipbuilding Progress 66, no. 2: 181-199.

Journal article
Published: 28 May 2019 in Energies
Reads 0
Downloads 0

Reactive power provision is a vital ancillary service, which provides opportunities to service market and power generators. The net reactive power in a balanced power grid needs to be zero, and the imbalance occurs due to the capacitive and inductive behavior of the extensive transmission lines, and because of the intermittent behavior of load-demand. This mismanagement in reactive power causes voltage instability, and hence the paper compares the most common reactive power compensation techniques, which are prevalent in both literature and commercial levels. The paper perceives the trade-off between the compared techniques, and realizes to use the aggregation of different techniques to present a coordinated control mechanism that complies with the Italian regulations. The parameters for the proposed aggregation include the amount of reactive power, real power losses during reactive power provision, and response time. The paper then implements IEEE 9 bus transmission-generation system in DIgSILENT to set up the platform for validation of the proposed strategy. Finally, it simulates Transmission System Operator (TSO) test cases on the implemented test system.

ACS Style

Jibran Ali; Stefano Massucco; Federico Silvestro. Aggregation Strategy for Reactive Power Compensation Techniques—Validation. Energies 2019, 12, 2047 .

AMA Style

Jibran Ali, Stefano Massucco, Federico Silvestro. Aggregation Strategy for Reactive Power Compensation Techniques—Validation. Energies. 2019; 12 (11):2047.

Chicago/Turabian Style

Jibran Ali; Stefano Massucco; Federico Silvestro. 2019. "Aggregation Strategy for Reactive Power Compensation Techniques—Validation." Energies 12, no. 11: 2047.

Journal article
Published: 04 April 2019 in Energies
Reads 0
Downloads 0

PhotoVoltaic (PV) plants can provide important economic and environmental benefits to electric systems. On the other hand, the variability of the solar source leads to technical challenges in grid management as PV penetration rates increase continuously. For this reason, PV power forecasting represents a crucial tool for uncertainty management to ensure system stability. In this paper, a novel hybrid methodology for the PV forecasting is presented. The proposed approach can exploit clear-sky models or an ensemble of artificial neural networks, according to day-ahead weather forecast. In particular, the selection among these techniques is performed through a decision tree approach, which is designed to choose the best method among those aforementioned. The presented methodology has been validated on a real PV plant with very promising results.

ACS Style

Stefano Massucco; Gabriele Mosaico; Matteo Saviozzi; Federico Silvestro. A Hybrid Technique for Day-Ahead PV Generation Forecasting Using Clear-Sky Models or Ensemble of Artificial Neural Networks According to a Decision Tree Approach. Energies 2019, 12, 1298 .

AMA Style

Stefano Massucco, Gabriele Mosaico, Matteo Saviozzi, Federico Silvestro. A Hybrid Technique for Day-Ahead PV Generation Forecasting Using Clear-Sky Models or Ensemble of Artificial Neural Networks According to a Decision Tree Approach. Energies. 2019; 12 (7):1298.

Chicago/Turabian Style

Stefano Massucco; Gabriele Mosaico; Matteo Saviozzi; Federico Silvestro. 2019. "A Hybrid Technique for Day-Ahead PV Generation Forecasting Using Clear-Sky Models or Ensemble of Artificial Neural Networks According to a Decision Tree Approach." Energies 12, no. 7: 1298.

Journal article
Published: 30 November 2018 in Electric Power Systems Research
Reads 0
Downloads 0

This paper proposes a methodology for the identification of equivalent models of active distribution networks. Due to the increasing installation of distributed generation plants, distribution networks are acquiring an “active” role in the management of the overall power system. In this context, equivalent modeling is becoming essential for allowing transmission system operators to expand the system observability and improve the interoperability with distribution system operators. The present paper proposes a nonlinear model and an identification procedure able to take into account the prior knowledge of a given active distribution network. The result is an equivalent model, which can be easily adapted for reproducing the dynamical behavior of the network with different configurations. The proposed approach is validated through a simulation study on a Benchmark Medium Voltage Active Network.

ACS Style

F. Conte; F. D’Agostino; F. Silvestro. Operational constrained nonlinear modeling and identification of active distribution networks. Electric Power Systems Research 2018, 168, 92 -104.

AMA Style

F. Conte, F. D’Agostino, F. Silvestro. Operational constrained nonlinear modeling and identification of active distribution networks. Electric Power Systems Research. 2018; 168 ():92-104.

Chicago/Turabian Style

F. Conte; F. D’Agostino; F. Silvestro. 2018. "Operational constrained nonlinear modeling and identification of active distribution networks." Electric Power Systems Research 168, no. : 92-104.

Journal article
Published: 19 November 2018 in IEEE Transactions on Energy Conversion
Reads 0
Downloads 0

The recent worldwide effort on the environmental issue has led to new regulations on greenhouse gases emissions (GHG), both for land and marine applications. Nowadays, the extensive electrification of transportation systems is a promising choice for this purpose. In this perspective, algorithms for the optimum sizing and management of energy storage systems (ESSs) integrated into already operating shipboard power sys- tems are proposed in this work. The main aim of this method is reducing the power generation system fuel oil consumption, GHG emissions and management costs. This is applied to two case studies (i.e. a ferry and a platform supply vessel), of which load power profiles are available from the on-board integrated automation system (IAS). The results yielded show remarkable savings close to 6% and 32% along the whole ship's life horizon for the ferry and the platform supply vessel, respectively. These results prove that an optimal sizing combined with an optimum management of ESSs may significantly reduce the operative costs of shipboard power systems.

ACS Style

Alessandro Pietro Boveri; Federico Silvestro; Marta Molinas; Espen Skjong. Optimal Sizing of Energy Storage Systems for Shipboard Applications. IEEE Transactions on Energy Conversion 2018, 34, 801 -811.

AMA Style

Alessandro Pietro Boveri, Federico Silvestro, Marta Molinas, Espen Skjong. Optimal Sizing of Energy Storage Systems for Shipboard Applications. IEEE Transactions on Energy Conversion. 2018; 34 (2):801-811.

Chicago/Turabian Style

Alessandro Pietro Boveri; Federico Silvestro; Marta Molinas; Espen Skjong. 2018. "Optimal Sizing of Energy Storage Systems for Shipboard Applications." IEEE Transactions on Energy Conversion 34, no. 2: 801-811.

Research article
Published: 16 November 2018 in Electric Power Systems Research
Reads 0
Downloads 0

Electric power systems are undergoing significant changes in all sectors at all voltage levels. The growing penetration of Renewable Energy Resources (RES), the liberalization of energy markets, the spread of active customers, the increasing diffusion of green energy policies to foster sustainable and low-emission policies, represent the main drivers in the evolution of the electric system. For these reasons, Distribution System Operators (DSO) are asked to adopt modern Distribution Management Systems (DMS) in order to manage RES uncertainties for an efficient, flexible and economic operation of distribution systems. In this context, the paper presents the design and the implementation in a real DMS of two advanced functionalities: load forecasting and load modeling. These two algorithms are based on an ensemble of Artificial Neural Networks (ANN). The good performances obtained on a real distribution network encourage the exploitation of the two proposed techniques to deal with demand uncertainties, in order to use efficiently the controllable resources and to face the stochastic behavior of RES.

ACS Style

M. Saviozzi; S. Massucco; F. Silvestro. Implementation of advanced functionalities for Distribution Management Systems: Load forecasting and modeling through Artificial Neural Networks ensembles. Electric Power Systems Research 2018, 167, 230 -239.

AMA Style

M. Saviozzi, S. Massucco, F. Silvestro. Implementation of advanced functionalities for Distribution Management Systems: Load forecasting and modeling through Artificial Neural Networks ensembles. Electric Power Systems Research. 2018; 167 ():230-239.

Chicago/Turabian Style

M. Saviozzi; S. Massucco; F. Silvestro. 2018. "Implementation of advanced functionalities for Distribution Management Systems: Load forecasting and modeling through Artificial Neural Networks ensembles." Electric Power Systems Research 167, no. : 230-239.

Conference paper
Published: 01 November 2018 in 2018 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC)
Reads 0
Downloads 0

This work proposes a method to model, predict and simulate shipboard electric load power profiles for specific users in order to overcomes the limitations encountered with traditional methods applied at the design phase of the ship. A probabilistic characterization of the user's operating modes is proposed combined with a stochastic process called Hidden Markov Model (HMM) in order to model and simulate the load power profiles. Main inputs for the user's characterization are the initial state π of every user, the state transition probability matrix A i,j and, finally, the corresponding emissions at each operating state e i . All these inputs can be derived by the traditional information available from the electrical power load analysis (EPLA) or by experimental readings obtained through field measurements performed on-board ships. The method has been applied, tested and validated on a typical on-board laundry service of which experimental readings are available. The simulation of the load power profile shows a significant accuracy if compared with the recorder data (e.g. a mean absolute percentage error equal to the 11.1%).

ACS Style

Alessandro Boveri; Fabio DrAgostino; Paola Gualeni; Diego Neroni; Federico Silvestro. A Stochastic Approach to Shipboard Electric Loads Power Modeling and Simulation. 2018 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC) 2018, 1 -6.

AMA Style

Alessandro Boveri, Fabio DrAgostino, Paola Gualeni, Diego Neroni, Federico Silvestro. A Stochastic Approach to Shipboard Electric Loads Power Modeling and Simulation. 2018 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC). 2018; ():1-6.

Chicago/Turabian Style

Alessandro Boveri; Fabio DrAgostino; Paola Gualeni; Diego Neroni; Federico Silvestro. 2018. "A Stochastic Approach to Shipboard Electric Loads Power Modeling and Simulation." 2018 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC) , no. : 1-6.

Conference paper
Published: 01 October 2018 in 2018 AEIT International Annual Conference
Reads 0
Downloads 0
ACS Style

Federico Silvestro; Fabio DrAgostino; Giacomo-Piero Schiapparelli; Alessandro Boveri; Daniele Patuelli; Enrico Ragaini. A Collaborative Laboratory for Shipboard Microgrid: Research and Training. 2018 AEIT International Annual Conference 2018, 1 .

AMA Style

Federico Silvestro, Fabio DrAgostino, Giacomo-Piero Schiapparelli, Alessandro Boveri, Daniele Patuelli, Enrico Ragaini. A Collaborative Laboratory for Shipboard Microgrid: Research and Training. 2018 AEIT International Annual Conference. 2018; ():1.

Chicago/Turabian Style

Federico Silvestro; Fabio DrAgostino; Giacomo-Piero Schiapparelli; Alessandro Boveri; Daniele Patuelli; Enrico Ragaini. 2018. "A Collaborative Laboratory for Shipboard Microgrid: Research and Training." 2018 AEIT International Annual Conference , no. : 1.

Journal article
Published: 13 September 2018 in IEEE Transactions on Industry Applications
Reads 0
Downloads 0

The exploitation of combined PhotoVoltaic plants and storage systems is nowadays assuming growing importance, due to the technical, environmental and economical benefits which can derive from an optimal integration. In this paper, a mixed-integer algorithm for the optimal dispatch of a storage system, based on the day-ahead photovoltaic forecasting is developed. The optimization objective is the maximization of the total production of the integrated system, according to a requested active power profile, which can be defined by the operator. The study case of an existing Distribution Management System, which operates on the Low Voltage microgrid at University of Genova is analyzed. The procedure is validated by field results with particular attention to the storage round-trip efficiency.

ACS Style

Francesco Conte; Fabio D'agostino; Paola Pongiglione; Matteo Saviozzi; Federico Silvestro. Mixed-Integer Algorithm for Optimal Dispatch of Integrated PV-Storage Systems. IEEE Transactions on Industry Applications 2018, 55, 238 -247.

AMA Style

Francesco Conte, Fabio D'agostino, Paola Pongiglione, Matteo Saviozzi, Federico Silvestro. Mixed-Integer Algorithm for Optimal Dispatch of Integrated PV-Storage Systems. IEEE Transactions on Industry Applications. 2018; 55 (1):238-247.

Chicago/Turabian Style

Francesco Conte; Fabio D'agostino; Paola Pongiglione; Matteo Saviozzi; Federico Silvestro. 2018. "Mixed-Integer Algorithm for Optimal Dispatch of Integrated PV-Storage Systems." IEEE Transactions on Industry Applications 55, no. 1: 238-247.

Conference paper
Published: 01 September 2018 in 2018 53rd International Universities Power Engineering Conference (UPEC)
Reads 0
Downloads 0

Diversity in modern grid, specifically due to distributed energy resources, appeals for the developments in all the sectors of power system. Voltage changes at low and medium voltage nodes, and penetration of voltage sources due to distributed generation put in stake the power system reliability, power quality, and power system protection devices. One of the major developments is to compensate for these voltage changes through reactive power provision, and customers demand is a significant actor for these reactive power changes. The paper discusses the architecture for virtual power plant, and the interaction of customers meters through VPP controller. The paper develops the HMI to access the reactive power metering at customers end, and a recording tool for the readings at VPP controller.

ACS Style

Jibran Ali; Stefano Massucco; Federico Silvestro; Andrea Vinci. Participation of Customers to Virtual Power Plants for Reactive Power Provision. 2018 53rd International Universities Power Engineering Conference (UPEC) 2018, 1 -6.

AMA Style

Jibran Ali, Stefano Massucco, Federico Silvestro, Andrea Vinci. Participation of Customers to Virtual Power Plants for Reactive Power Provision. 2018 53rd International Universities Power Engineering Conference (UPEC). 2018; ():1-6.

Chicago/Turabian Style

Jibran Ali; Stefano Massucco; Federico Silvestro; Andrea Vinci. 2018. "Participation of Customers to Virtual Power Plants for Reactive Power Provision." 2018 53rd International Universities Power Engineering Conference (UPEC) , no. : 1-6.

Journal article
Published: 24 July 2018 in Energies
Reads 0
Downloads 0

The use of a computer simulator, previously developed and validated, applied to a four-stroke marine dual-fuel engine, has allowed the authors to present in this paper a solution to improve the overall efficiency of the engine by adopting a hybrid turbocharger. This component replaces the original one allowing, in addition to maintaining the previous usual functions, the production of electricity to satisfy part of the ship’s electric load. In this study the application of the hybrid turbocharger concerns an engine powered by natural gas in particular. The turbocharger substitution involves a significant variation of the engine load governor operating mode. The improved engine characteristics that the hybrid turbocharger facilitates, compared to the original, are highlighted by the results reported in tabular and graphical form, for different engine loads and speeds.

ACS Style

Marco Altosole; Giovanni Benvenuto; Ugo Campora; Federico Silvestro; Giulio Terlizzi. Efficiency Improvement of a Natural Gas Marine Engine Using a Hybrid Turbocharger. Energies 2018, 11, 1924 .

AMA Style

Marco Altosole, Giovanni Benvenuto, Ugo Campora, Federico Silvestro, Giulio Terlizzi. Efficiency Improvement of a Natural Gas Marine Engine Using a Hybrid Turbocharger. Energies. 2018; 11 (8):1924.

Chicago/Turabian Style

Marco Altosole; Giovanni Benvenuto; Ugo Campora; Federico Silvestro; Giulio Terlizzi. 2018. "Efficiency Improvement of a Natural Gas Marine Engine Using a Hybrid Turbocharger." Energies 11, no. 8: 1924.

Journal article
Published: 30 December 2017 in Energies
Reads 0
Downloads 0

A thorough investigation of power system security requires the analysis of the vulnerabilities to natural and man-related threats which potentially trigger multiple contingencies. In particular, extreme weather events are becoming more and more frequent due to climate changes and often cause large load disruptions on the system, thus the support for security enhancement gets tricky. Exploiting data coming from forecasting systems in a security assessment environment can help assess the risk of operating power systems subject to the disturbances provoked by the weather event itself. In this context, the paper proposes a security assessment methodology, based on an updated definition of risk suitable for power system risk evaluations. Big data analytics can be useful to get an accurate model for weather-related threats. The relevant software (SW) platform integrates the security assessment methodology with prediction systems which provide short term forecasts of the threats affecting the system. The application results on a real wet snow threat scenario in the Italian High Voltage grid demonstrate the effectiveness of the proposed approach with respect to conventional security approaches, by complementing the conventional “N − 1” security criterion and exploiting big data to link the security assessment phase to the analysis of incumbent threats.

ACS Style

Emanuele Ciapessoni; Diego Cirio; Andrea Pitto; Pietro Marcacci; Matteo Lacavalla; Stefano Massucco; Federico Silvestro; Marino Sforna. A Risk-Based Methodology and Tool Combining Threat Analysis and Power System Security Assessment. Energies 2017, 11, 83 .

AMA Style

Emanuele Ciapessoni, Diego Cirio, Andrea Pitto, Pietro Marcacci, Matteo Lacavalla, Stefano Massucco, Federico Silvestro, Marino Sforna. A Risk-Based Methodology and Tool Combining Threat Analysis and Power System Security Assessment. Energies. 2017; 11 (1):83.

Chicago/Turabian Style

Emanuele Ciapessoni; Diego Cirio; Andrea Pitto; Pietro Marcacci; Matteo Lacavalla; Stefano Massucco; Federico Silvestro; Marino Sforna. 2017. "A Risk-Based Methodology and Tool Combining Threat Analysis and Power System Security Assessment." Energies 11, no. 1: 83.

Journal article
Published: 01 December 2017 in International Journal of Electrical Power & Energy Systems
Reads 0
Downloads 0

This paper proposes a model of the thermal dynamics and of the end-use of amics and of the end-use of domestic refrigerators (fridges) and water heaters (boilers) in the foretasted scenario of the Sardinian electric network in 2020. This model is employed to evaluate the potential variations of power demand of the aggregates of fridges and boilers during one year in the considered scenario. The resulting quantities can be considered as a form of power reserves to be used for contributing to the frequency regulation through a proper demand side response strategy. The particular case of the system for frequency control proposed by the European Network of Transmission System Operators for Electricity (ENTSO-E) is then analysed by simulations in order to show advantages and drawbacks

ACS Style

Francesco Conte; Stefano Massucco; Federico Silvestro; Emanuele Ciapessoni; Diego Cirio. Stochastic modelling of aggregated thermal loads for impact analysis of demand side frequency regulation in the case of Sardinia in 2020. International Journal of Electrical Power & Energy Systems 2017, 93, 291 -307.

AMA Style

Francesco Conte, Stefano Massucco, Federico Silvestro, Emanuele Ciapessoni, Diego Cirio. Stochastic modelling of aggregated thermal loads for impact analysis of demand side frequency regulation in the case of Sardinia in 2020. International Journal of Electrical Power & Energy Systems. 2017; 93 ():291-307.

Chicago/Turabian Style

Francesco Conte; Stefano Massucco; Federico Silvestro; Emanuele Ciapessoni; Diego Cirio. 2017. "Stochastic modelling of aggregated thermal loads for impact analysis of demand side frequency regulation in the case of Sardinia in 2020." International Journal of Electrical Power & Energy Systems 93, no. : 291-307.