- Microgrid Control and Optimization
- Smart Grid Energy Management
- Power System Optimization and Stability
- Electric Vehicles and Infrastructure
- Advanced Battery Technologies Research
- Optimal Power Flow Distribution
- Energy Load and Power Forecasting
- HVDC Systems and Fault Protection
- Islanding Detection in Power Systems
- Smart Grid Security and Resilience
- Wind Turbine Control Systems
- Electric and Hybrid Vehicle Technologies
- Power Systems and Renewable Energy
- Power System Reliability and Maintenance
- Power Line Communications and Noise
- Power Systems Fault Detection
- Hybrid Renewable Energy Systems
- Frequency Control in Power Systems
- Real-time simulation and control systems
- Maritime Transport Emissions and Efficiency
- Advanced DC-DC Converters
- Smart Grid and Power Systems
- Integrated Energy Systems Optimization
- Railway Systems and Energy Efficiency
- Time Series Analysis and Forecasting
Politecnico di Milano
2016-2025
Consorzio di Bioingegneria e Informatica Medica
2018-2024
Bioengineering Technology and Systems (Italy)
2023
Microelectronica (Romania)
2021
Polytechnic University of Turin
2021
ABB (Italy)
2014
University of Genoa
2006-2010
Among the innovative contributions to electric distribution systems, one of most promising and qualified is possibility manage control distributed generation. Therefore, latest management systems tend incorporate optimization functions for short-term scheduling various energy resources available in network (e.g., embedded generators, reactive power compensators transformers equipped with on-load tap changers). The procedure adopted paper composed by two stages: a day-ahead scheduler...
The paper proposes the modeling and optimal management of a hot-temperature (sodium nickel chloride) battery system coupled with wind generators connected to medium voltage grid. A discrete-time model storage device reproducing main dynamics (i.e., state charge, temperature, current, protection, limitation systems) has been developed. validated through some experimental tests. An strategy implemented based on forward dynamic programming algorithm, specifically developed exploit energy price...
Inertia is a measure of power system's capability to counteract frequency disturbances: in conventional networks, inertia approximately constant over time, which contributes network stability. However, as the share renewable energy sources increases, associated synchronous generators declines, may pose threat overall Reliably estimating systems dominated by inverted-connected has therefore become paramount importance. We develop framework for continuous estimation an electric system,...
The paper presents a method based on Markov decision processes to optimally schedule energy storage devices in power distribution networks with renewable generation. time series of generation is modeled as chain which allows for the implementation stochastic dynamic programming algorithm. output this algorithm an optimal scheduling policy device achieving minimization objective function including cost and network losses. Besides this, other properties, such placement size, can be assessed...
This paper presents a model-based control technique to provide the contribution of wind power generators primary frequency regulation in electric systems. Models individual and farm (WF) as whole are presented proposed strategy is detailed. It consists central controller, Kalman filter (KF), some local KFs, one for each turbine. The controller disabled normal operation conditions its task set reference turbine, overwriting reference, when disturbance occurs. Central KF charge estimating...
This work presents a technique to estimate on-line the inertia of power system based on ambient measurements. The proposed utilizes covariance matrix these measurements and solves an optimization problem that fits such synchronous machine classical model. We show is adequate accurately actual machines also virtual provided by controllers converter-interfaced generators emulate behavior machines. approach able equivalent damping feature exploited droop grid-following converters, which has...
The advantages arising from dc distribution networks are related to the possibilities of achieving higher quality supply and easier reconfigurability system. This paper presents concept introducing some islands interconnected with ac network. will make it connect storage systems, electrical drives, power converters, renewable sources (i.e., photovoltaic panels). In order realize aforementioned goals, a methodology for designing control strategy different converters connected bus without...
The appearance of new single-phase intensive and often coincident loads, such as the electric vehicle private charging stations (i.e., residential or parking lots shopping malls workplaces), can affect operation low voltage (LV) distribution networks.Unbalances among three-phase loading are extremely common, even if end-users a given LV network have similar behaviors.Due to coincidence excessive drops may appear, altering quality supply provided end-users.This work evaluates effects other...
The great attention of research initiatives to sustainable energy systems calls for contributions in modeling new small size generation plants exploiting innovative technologies. In such a context, the paper presents detailed models components and controls forming thermo-mechanical electric subsystems microturbine power plantP. modeled subsystem includes different control loops: speed controller primary frequency (droop control), an acceleration loop, which limits rotor case sudden loss load...
This article presents the findings of a research project examining equal opportunities in admission process at universities Lima. The project's primary objective is to describe various pathways and modalities admission, as well technological personal accessories used by visually impaired individuals during process. was conducted using qualitative approach, employing phenomenological cross-sectional, hermeneutical socio-critical methodology. In addition bibliographic documentary research,...
This paper proposes an area inertia estimator based on iterative equation error (EE) system identification (SI) approach. The value can be accurately extracted for areas of different compositions with penetrations converter-interfaced generators. Firstly, the internal frequency variation generator units is computed by means a divider-based estimator. Subsequently, these variations are used to carry out clustering, which provides groups coherent generators proposed Finally, EE SI approach...
The smart grids of the future present innovative opportunities for data exchange and real-time operations management. In this context, it is crucial to integrate technological advancements with planning algorithms, particularly those based on artificial intelligence (AI). AI methods offer powerful tools electrical systems, including distribution networks. This study presents a methodology reinforcement learning (RL) evaluating optimal power flow respect various cost functions. Additionally,...
This paper proposes an optimal charging strategy for plug-in electric vehicles (PEVs) to be used in distribution networks. The optimization algorithm is made up of two phases: 1) power flow calculation; and 2) a linear optimization. former, while taking into account the system technical constraints, sets upper bounds recharge each vehicle latter defines profiles PEV. In order test effectiveness algorithm, case study was set up. connection 300 PEVs Conseil International des Grands Réseaux...
The frequency behavior of an electric power system right after a imbalance is determined by its inertia constant. current shift in generation mix towards renewable energy sources leading to smaller and more variable inertia, thereby compromising the stability modern grids. Therefore, real-time estimation methods would be beneficial for grid operators, as their situational awareness enhanced. This paper focuses on method specifically tailored synchronous generators, based extended Kalman...
Recent advances in the development of reconfigurable batteries pave way for novel DC microgrid architectures that eliminate need DC–DC converters. The present study is focused on control a comprising battery system with three strings to flexibly operate two electric vehicle (EV) fast chargers, photovoltaic (PV) system, and grid-tie inverter. primary tasks are dynamically connect individual other components through busbar matrix, manage energy exchange AC grid. paper formulates as...
Evaluating the possible impact on electric distribution networks of a large number plug-in vehicles (PEV) is becoming great interest. In fact, during battery charging, PEVs are widely spread load significant magnitude and somewhat unpredictable. On contrary PEV batteries may constitute reserve be used to provide storage capability for cheap energy produced by renewable sources supply auxiliary services grid.
Power system security assessment for planning (offline) and operational (online) applications requires various analysis methods aimed to highlight different phenomena (steady-state violations, angle stability, voltage etc.), overall providing an exhaustive vision of the problems. However, carrying out analyses in integrated way is not easy task. Accordingly, combining results a consistent framework issue. Moreover, risk-based have been recently proposed complement traditional deterministic...
This paper presents an algorithm for optimal operating of energy storage devices in medium voltage distribution grids. Losses minimization such grids has always been paramount importance power system planners and, literature, a number approaches are proposed. In this novel method losses by means genetic is presented. based on the definition management strategy devices. The placement device assessed comparing reduction when installed at different busbars. efficiency proposed studied through...
Frequency stability in power systems is a key driver for the maintenance of supply quality. Thermal loads, if properly managed, can play an important role providing support to frequency regulation. In this framework, paper presents control strategy enable load aggregator manage set building cooling contribute both primary and secondary The proposed uses Model Predictive Control approach. provided without compromising natural mission controlled i.e., end-user thermal comfort. introduced...
A reliable and accurate estimation of the parameters batteries equivalent models is paramount importance in many applications. This paper focused on electric vehicle framework. simplified method for estimating these presented validated. The proposed methodology introduces concept apparent state discharge (ASOD), i.e., traditional adjusted order to take into account effects current temperature. ASOD is, then, used estimate open circuit voltage and, consequently, output battery cells....
The paper aims at describing two different control strategies for a combined system composed by Vanadium Redox Flow Battery and wind farm. A brief overview of the dynamic models used storage turbines is presented. focus then devoted to description controllers, which task grant desired power output point connection main network. called respectively Power Control Energy are analyzed their effectiveness tested. are, in fact, fed with turbulent winds controlled perform series charges discharges...