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Prof. Stefano Massucco
DITEN—University of Genova, via all’Opera Pia 11a, 16145 Genova, Italy

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Research Keywords & Expertise

0 Smart Grids
0 Electric energy systems and distributed generation modeling
0 Control and management
0 Power systems analysis and simulation
0 Controllable loads and energy storage systems.

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Journal article
Published: 30 April 2021 in International Journal of Electrical Power & Energy Systems
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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
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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 May 2019 in Energies
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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
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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.

Research article
Published: 16 November 2018 in Electric Power Systems Research
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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 June 2018 in 2018 Power Systems Computation Conference (PSCC)
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ACS Style

E. Ciapessoni; D. Cirio; A. Pitto; S. Massucco; F. Silvestro. An Efficient Method to Take into Account Forecast Uncertainties in Large Scale Probabilistic Power Flow. 2018 Power Systems Computation Conference (PSCC) 2018, 1 .

AMA Style

E. Ciapessoni, D. Cirio, A. Pitto, S. Massucco, F. Silvestro. An Efficient Method to Take into Account Forecast Uncertainties in Large Scale Probabilistic Power Flow. 2018 Power Systems Computation Conference (PSCC). 2018; ():1.

Chicago/Turabian Style

E. Ciapessoni; D. Cirio; A. Pitto; S. Massucco; F. Silvestro. 2018. "An Efficient Method to Take into Account Forecast Uncertainties in Large Scale Probabilistic Power Flow." 2018 Power Systems Computation Conference (PSCC) , no. : 1.

Journal article
Published: 30 December 2017 in Energies
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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.

Conference paper
Published: 01 September 2017 in 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)
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This paper focuses on the development of equivalent models able to represent the dynamical behavior of active distribution networks. The availability of these models is becoming of fundamental importance for allowing the interoperability between the transmission and distribution system operators. This is due to the large deployment of distributed generation, which is leading distribution networks from playing a passive to an active role into the modern power system. The present paper proposes an equivalent model identification technique for representing the dynamics of a given active distribution network. A detailed model of the Cigre Benchmark Medium Voltage (MV) Distribution Network is implemented in order to validate the proposed equivalent modelling technique.

ACS Style

F. Conte; F. D'agostino; S. Massucco; G. Palombo; F. Silvestro; C. Bossi; M. Cabiati. Dynamic equivalent modelling of active distribution networks for TSO-DSO interactions. 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) 2017, 1 -6.

AMA Style

F. Conte, F. D'agostino, S. Massucco, G. Palombo, F. Silvestro, C. Bossi, M. Cabiati. Dynamic equivalent modelling of active distribution networks for TSO-DSO interactions. 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe). 2017; ():1-6.

Chicago/Turabian Style

F. Conte; F. D'agostino; S. Massucco; G. Palombo; F. Silvestro; C. Bossi; M. Cabiati. 2017. "Dynamic equivalent modelling of active distribution networks for TSO-DSO interactions." 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) , no. : 1-6.

Journal article
Published: 01 April 2017 in Energies
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Assessment of dynamic stability in a modern power system (PS) is becoming a stringent requirement both in operational planning and in on-line operation, due to the increasingly complex dynamics of a PS. Further, growing uncertainties in forecast state and in the response to disturbances suggests the adoption of risk-based approaches in Dynamic Security Assessment (DSA). The present paper describes a probabilistic risk-based DSA, which provides instability risk indicators by combining an innovative probabilistic hazard/vulnerability analysis with the assessment of contingency impacts via time domain simulation. The tool implementing the method can be applied to both current and forecast PS states, the latter characterized in terms of renewable and load forecast uncertainties, providing valuable results for operation and operational planning contexts. Some results from a real PS model are discussed.

ACS Style

Emanuele Ciapessoni; Diego Cirio; Stefano Massucco; Andrea Morini; Andrea Pitto; Federico Silvestro. Risk-Based Dynamic Security Assessment for Power System Operation and Operational Planning. Energies 2017, 10, 475 .

AMA Style

Emanuele Ciapessoni, Diego Cirio, Stefano Massucco, Andrea Morini, Andrea Pitto, Federico Silvestro. Risk-Based Dynamic Security Assessment for Power System Operation and Operational Planning. Energies. 2017; 10 (4):475.

Chicago/Turabian Style

Emanuele Ciapessoni; Diego Cirio; Stefano Massucco; Andrea Morini; Andrea Pitto; Federico Silvestro. 2017. "Risk-Based Dynamic Security Assessment for Power System Operation and Operational Planning." Energies 10, no. 4: 475.

Journal article
Published: 01 December 2016 in Electric Power Systems Research
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This paper proposes a control strategy for managing an aggregate of commercial buildings equipped with Space Cooling Systems (SCSs), called to provide frequency control services to the main grid. The idea is to use the thermal energy stored into buildings to contribute to frequency regulation, during both normal and emergency operating conditions, always preserving the temperature comfort of end-users. Two specific algorithms are developed for two different classes of SCSs: inverter-driven SCSs, which allow the controller to define the current power demanded from the grid, and multi-state SCSs, which allow the controller to switch on-off one of the cooling units that compose the SCSs. In these two different cases, Model Predictive Control and Mixed-Integer Predictive Control, are respectively used to design a load aggregator algorithm able to coordinate the contribution to frequency regulation of each building, depending on their different thermal conditions. A test network model with a high penetration of renewable energy generation is implemented in a dedicated real-time simulation environment, in order to test the effectiveness of the proposed control techniques.

ACS Style

F. Conte; S. Massucco; F. Silvestro. Frequency control services by a building cooling system aggregate. Electric Power Systems Research 2016, 141, 137 -146.

AMA Style

F. Conte, S. Massucco, F. Silvestro. Frequency control services by a building cooling system aggregate. Electric Power Systems Research. 2016; 141 ():137-146.

Chicago/Turabian Style

F. Conte; S. Massucco; F. Silvestro. 2016. "Frequency control services by a building cooling system aggregate." Electric Power Systems Research 141, no. : 137-146.

Conference paper
Published: 01 July 2014 in 2014 IEEE PES General Meeting | Conference & Exposition
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In the last years several players in the electric energy industry have been promoting the all-electric concept in different contexts, for instance the all-electric ship, the all-electric city and the all-electric house. The end user electricity consumptions are likely to increase with the related risk of stressing the distribution infrastructures and reducing the quality of service. Some devices that can realize a significant shift toward the all-electric concept in the private users domain are reversible heat pumps (HPs) and plugin electric vehicles (PEVs). On the other hand, the severity of the increase in the electric load might be somehow compensated by the penetration of distributed generation (DG) from renewable energy sources (RES) such as domestic photovoltaic (PV). To take the best advantage of the flexibility of the available resources they have to be carefully coordinated. In this paper a two-steps algorithm for the optimal management of unbalanced low voltage (LV) distribution networks with significant penetration of HPs, PEVs and PVs is described and simulations are performed to test the algorithm operation.

ACS Style

F. Baccino; S. Massucco; Federico Silvestro; S. Grillo. Management strategy for unbalanced LV distribution network with electric vehicles, heat pumps and domestic photovoltaic penetration. 2014 IEEE PES General Meeting | Conference & Exposition 2014, 1 -5.

AMA Style

F. Baccino, S. Massucco, Federico Silvestro, S. Grillo. Management strategy for unbalanced LV distribution network with electric vehicles, heat pumps and domestic photovoltaic penetration. 2014 IEEE PES General Meeting | Conference & Exposition. 2014; ():1-5.

Chicago/Turabian Style

F. Baccino; S. Massucco; Federico Silvestro; S. Grillo. 2014. "Management strategy for unbalanced LV distribution network with electric vehicles, heat pumps and domestic photovoltaic penetration." 2014 IEEE PES General Meeting | Conference & Exposition , no. : 1-5.

Conference paper
Published: 01 January 2014 in 3rd Renewable Power Generation Conference (RPG 2014)
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ACS Style

M. Chiandone; Giorgio Sulligoi; S. Massucco; F. Silvestro. Hierarchical Voltage Regulation of Transmission Systems with Renewable Power Plants: an overview of the Italian case. 3rd Renewable Power Generation Conference (RPG 2014) 2014, 5 -5.

AMA Style

M. Chiandone, Giorgio Sulligoi, S. Massucco, F. Silvestro. Hierarchical Voltage Regulation of Transmission Systems with Renewable Power Plants: an overview of the Italian case. 3rd Renewable Power Generation Conference (RPG 2014). 2014; ():5-5.

Chicago/Turabian Style

M. Chiandone; Giorgio Sulligoi; S. Massucco; F. Silvestro. 2014. "Hierarchical Voltage Regulation of Transmission Systems with Renewable Power Plants: an overview of the Italian case." 3rd Renewable Power Generation Conference (RPG 2014) , no. : 5-5.

Conference paper
Published: 01 January 2013 in VI Latin American Congress on Biomedical Engineering CLAIB 2014, Paraná, Argentina 29, 30 & 31 October 2014
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Short-term load forecasting can provide information which is applicable for the possible energy interchange with other utilities. Load forecasting is also advantegeous for system security, in fact if applied to the system security assessment problem, it can provide valuable information to detect many vulnerable situations in advance. In addition if the work environment is in a hospital reality, where a continuous energy and electricity utilization is required, all the problems previously listed are amplified and of a greater importance, because of the continuous use of new technological instruments. In this study a neural network approach for the hospital energy load forecast is illustrated .The data sets belong to the University Eye Clinic of Genoa, S. Martino Hospital, Genoa, Italy, and to the Department of Internal Medicine and Medical Specialties (DIMI) of the University of Genoa, Italy. These two environments represent different approaches in patient treatment and this study aims to determine if the same tool is beneficial in load forecasting for both wards. In both realities the presented approach reached a target of more than 75% of correct forecasts

ACS Style

S. Bertolini; S. Massucco; Federico Silvestro; S. Grillo; G. Giacomini. Short-Term Load Forecasting in Hospital Systems. VI Latin American Congress on Biomedical Engineering CLAIB 2014, Paraná, Argentina 29, 30 & 31 October 2014 2013, 685 -687.

AMA Style

S. Bertolini, S. Massucco, Federico Silvestro, S. Grillo, G. Giacomini. Short-Term Load Forecasting in Hospital Systems. VI Latin American Congress on Biomedical Engineering CLAIB 2014, Paraná, Argentina 29, 30 & 31 October 2014. 2013; ():685-687.

Chicago/Turabian Style

S. Bertolini; S. Massucco; Federico Silvestro; S. Grillo; G. Giacomini. 2013. "Short-Term Load Forecasting in Hospital Systems." VI Latin American Congress on Biomedical Engineering CLAIB 2014, Paraná, Argentina 29, 30 & 31 October 2014 , no. : 685-687.

Journal article
Published: 16 April 2012 in IEEE Transactions on Smart Grid
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The paper proposes the modeling and the optimal management of a hot-temperature (sodium nickel chloride) battery system coupled with wind generators connected to a medium voltage grid. A discrete-time model of the storage device reproducing the battery main dynamics (i.e., state of charge, temperature, current, protection, and limitation systems) has been developed. The model has been validated through some experimental tests. An optimal management strategy has been implemented based on a forward dynamic programming algorithm, specifically developed to exploit the energy price arbitrage along the optimization time horizon (“generation shifting”). Taking advantage of this strategy wind generation performances can be enhanced and adapted to load demand, obtaining an increased economic gain measured by the difference between the economic revenue obtained with and without the proposed generation shifting policy.

ACS Style

Samuele Grillo; Mattia Marinelli; Stefano Massucco; Federico Silvestro. Optimal Management Strategy of a Battery-Based Storage System to Improve Renewable Energy Integration in Distribution Networks. IEEE Transactions on Smart Grid 2012, 3, 950 -958.

AMA Style

Samuele Grillo, Mattia Marinelli, Stefano Massucco, Federico Silvestro. Optimal Management Strategy of a Battery-Based Storage System to Improve Renewable Energy Integration in Distribution Networks. IEEE Transactions on Smart Grid. 2012; 3 (2):950-958.

Chicago/Turabian Style

Samuele Grillo; Mattia Marinelli; Stefano Massucco; Federico Silvestro. 2012. "Optimal Management Strategy of a Battery-Based Storage System to Improve Renewable Energy Integration in Distribution Networks." IEEE Transactions on Smart Grid 3, no. 2: 950-958.

Conference paper
Published: 01 January 2012 in 8th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2012)
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ACS Style

F. Baccino; S. Massucco; M. Marinelli; F. Silvestro. Low Voltage Microgrid under Islanded Operation: Control Strategies and Experimental Tests. 8th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2012) 2012, 1 .

AMA Style

F. Baccino, S. Massucco, M. Marinelli, F. Silvestro. Low Voltage Microgrid under Islanded Operation: Control Strategies and Experimental Tests. 8th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2012). 2012; ():1.

Chicago/Turabian Style

F. Baccino; S. Massucco; M. Marinelli; F. Silvestro. 2012. "Low Voltage Microgrid under Islanded Operation: Control Strategies and Experimental Tests." 8th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2012) , no. : 1.

Conference paper
Published: 01 December 2011 in 2011 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies
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The paper aims at describing two different control strategies for a combined system composed by a Vanadium Redox Flow Battery and a wind farm. A brief overview of the dynamic models used at describing the storage system and the wind turbines is presented. The focus is then devoted to the description of the two controllers, which task is to grant the desired power output at the point of connection of the system to the main network. The two control strategies called respectively Power Control and Energy Control are analyzed and their effectiveness is tested. The wind turbines are, in fact, fed with turbulent winds and the storage is controlled to perform a series of charges and discharges in order to have the desired global output. Their implementation and the dynamic simulations are performed in the Matlab-Simulink environment.

ACS Style

F. Baccino; S. Grillo; Mattia Marinelli; S. Massucco; Federico Silvestro. Power and energy control strategies for a Vanadium Redox Flow Battery and wind farm combined system. 2011 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies 2011, 1 -8.

AMA Style

F. Baccino, S. Grillo, Mattia Marinelli, S. Massucco, Federico Silvestro. Power and energy control strategies for a Vanadium Redox Flow Battery and wind farm combined system. 2011 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies. 2011; ():1-8.

Chicago/Turabian Style

F. Baccino; S. Grillo; Mattia Marinelli; S. Massucco; Federico Silvestro. 2011. "Power and energy control strategies for a Vanadium Redox Flow Battery and wind farm combined system." 2011 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies , no. : 1-8.

Conference paper
Published: 01 October 2010 in 2010 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe)
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The paper describes a joint university-industry project aimed at defining hardware and software requirements for the development of a prototypical microgrid platform on existing sites able to manage generation resources and load. The paper describes an architecture developed for integrating existing software tools for on-line load monitoring and control and for management of in-site generation. The system acquires data from field and stores information on a server, from which an optimization tool gets data in order to perform its calculations and give the optimal set points to the programmable generation resources. Results are reported about experimentation at test sites with different generating units, such as cogeneration of heat and power (CHP) and/or renewable power generating units equipped with a real-time monitoring tool.

ACS Style

S. Bertolini; Mauro Giacomini; S. Grillo; S. Massucco; Federico Silvestro. Coordinated micro-generation and load management for energy saving policies. 2010 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe) 2010, 1 -7.

AMA Style

S. Bertolini, Mauro Giacomini, S. Grillo, S. Massucco, Federico Silvestro. Coordinated micro-generation and load management for energy saving policies. 2010 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe). 2010; ():1-7.

Chicago/Turabian Style

S. Bertolini; Mauro Giacomini; S. Grillo; S. Massucco; Federico Silvestro. 2010. "Coordinated micro-generation and load management for energy saving policies." 2010 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe) , no. : 1-7.

Conference paper
Published: 01 October 2010 in 2010 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe)
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Probabilistic Risk Assessment (PRA) techniques are raising more and more interest in the context of the operation of high voltage transmission networks because they represent a new approach to the security assessment in power system operation. The classical deterministic methods, which compare the power system performance to a predefined set of requirements (e.g. no current and voltage violations, no stability problems), do not take into account the probability of occurrence and the magnitude of events and do not perform a quantitative characterization of the impact of the contingencies. The fulfillment of the security requirements also for the most critical contingencies determines large security margins, thus higher operational and planning costs. On the other hand the risk of other contingencies may be underestimated. The paper starts by illustrating a methodology to assess the risk of loss of load caused by conventional (N-1) or multiple dependent contingencies resulting into a cascading process. A control strategy is then introduced, aimed to reduce operational risk by optimal preventive redispatching of conventional generators. Simulation results of the application of the approach to an IEEE test system and to a model of the Italian EHV transmission grid are illustrated and discussed.

ACS Style

E. Ciapessoni; D. Cirio; S. Grillo; S. Massucco; A. Pitto; Federico Silvestro. Operational Risk Assessment and control: A probabilistic approach. 2010 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe) 2010, 1 -8.

AMA Style

E. Ciapessoni, D. Cirio, S. Grillo, S. Massucco, A. Pitto, Federico Silvestro. Operational Risk Assessment and control: A probabilistic approach. 2010 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe). 2010; ():1-8.

Chicago/Turabian Style

E. Ciapessoni; D. Cirio; S. Grillo; S. Massucco; A. Pitto; Federico Silvestro. 2010. "Operational Risk Assessment and control: A probabilistic approach." 2010 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe) , no. : 1-8.

Conference paper
Published: 01 September 2010 in Proceedings of 14th International Conference on Harmonics and Quality of Power - ICHQP 2010
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Evaluating the possible impact on electric distribution networks of a large number of plug-in electric vehicles (PEV) is becoming of great interest. In fact, during battery charging, PEVs are a widely spread load of significant magnitude and somewhat unpredictable. On the contrary PEV batteries may constitute a significant reserve and may be used to provide storage capability for cheap energy produced by renewable sources and to supply auxiliary services to the grid.

ACS Style

M. De Nigris; I. Gianinoni; S. Grillo; S. Massucco; Federico Silvestro. Impact evaluation of plug-in electric vehicles (PEV) on electric distribution networks. Proceedings of 14th International Conference on Harmonics and Quality of Power - ICHQP 2010 2010, 1 -6.

AMA Style

M. De Nigris, I. Gianinoni, S. Grillo, S. Massucco, Federico Silvestro. Impact evaluation of plug-in electric vehicles (PEV) on electric distribution networks. Proceedings of 14th International Conference on Harmonics and Quality of Power - ICHQP 2010. 2010; ():1-6.

Chicago/Turabian Style

M. De Nigris; I. Gianinoni; S. Grillo; S. Massucco; Federico Silvestro. 2010. "Impact evaluation of plug-in electric vehicles (PEV) on electric distribution networks." Proceedings of 14th International Conference on Harmonics and Quality of Power - ICHQP 2010 , no. : 1-6.

Proceedings article
Published: 01 January 2010 in IEEE PES T&D 2010
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In liberalized electricity markets the need for an increasingly flexible and economic exploitation of the grid determines more and more stressed operating conditions. The on-line assessment of system security becomes a topic of paramount importance in control centers. In this context fast indices to quickly assess system security represent a valuable support for Transmission System Operators (TSOs). This paper presents the application of some (both node-oriented and line-oriented) indicators for the on-line voltage stability monitoring in the Italian HV transmission system. The implemented analysis tool is based on a procedure written in MATLAB which both retrieves the transients of the variables of interest from a time-domain simulator and composes these variables to calculate the monitoring indices. The combination of the information derived from the utilization of these indices allows to improve operators' situational awareness concerning voltage stability issues. A dynamic model of the Italian HV transmission grid is presented and some simulation results concerning the indices application are illustrated and commented.

ACS Style

S. Grillo; S. Massucco; A. Pitto; Federico Silvestro. Indices-based voltage stability monitoring of the Italian HV Transmission System. IEEE PES T&D 2010 2010, 1 -7.

AMA Style

S. Grillo, S. Massucco, A. Pitto, Federico Silvestro. Indices-based voltage stability monitoring of the Italian HV Transmission System. IEEE PES T&D 2010. 2010; ():1-7.

Chicago/Turabian Style

S. Grillo; S. Massucco; A. Pitto; Federico Silvestro. 2010. "Indices-based voltage stability monitoring of the Italian HV Transmission System." IEEE PES T&D 2010 , no. : 1-7.