M. La Scala

Polytechnic University of Bari | Poliba · Dipartimento di Ingegneria Elettrica e dell’Informazione

Recent studies of the privacy-preserving consensus guarantee the initial-value privacy but leave real-time running values of consensus states unprotected with respect to external eavesdroppers. In this article, a novel real-time privacy-preserving average consensus algorithm is proposed to fill this gap by utilizing the quasi-resonance (QR) algorit...

This study analyzes the thermo-mechanical behavior of a brick vault and the effect of a fire on its dynamic characteristics. Based on the results of an experimental test of a real barrel vault with a net span of 161 cm and a net rise of 46.5 cm, an accurate numerical model to simulate the behavior of the brick-and-mortar structure under thermo-mech...

Solar photovoltaic (SPV) arrays are crucial components of clean and sustainable energy infrastructure. However, SPV panels are susceptible to thermal degradation defects that can impact their performance, thereby necessitating timely and accurate fault detection to maintain optimal energy generation. The considered case study focuses on an intellig...

Real-time simulation is a well-established approach employed across various domains, predominantly through Hardware-In-the-Loop (HIL) simulation. HIL technology enables more realistic simulations of complex systems, usually achieved by a closed-loop scheme between the hardware under test and the real-time simulator. In the field of power systems, i...

The rising demand for green energy to reduce carbon emissions is accelerating the integration of renewable energy sources (RESs) like wind and solar power. However, this shift presents significant challenges due to the inherent variability and intermittency of RESs, which impact power system stability and reliability. As a result, there is a growin...

Due to their reduced emissions and environmental benefits, electric vehicles (EVs) have grown in popularity over the past few years. However, EV fires can be a serious threat to nearby buildings, especially in garages where they are parked and charged. In this work, the behavior of the steel structural components in garages during electric car fire...

The energy transition represents the actual challenge in the next future, and requires new scientific tools of analysis in order to quickly and effectively deploy the most suitable technological solutions. This is required both to reduce as much as possible the long test phases on the field and to make investments more effective. This paper present...

Virtual power plant (VPP) concept creates additional benefits for different stakeholders, such as system operators, distributed energy resources’ owners, and aggregators. This article presents an auction-based energy management solution from VPP aggregator point of view. To this end, a network-constrained economic dispatch has been developed taking...

p>The COVID-19 crisis is profoundly influencing the global economic framework due to restrictive measures adopted by governments worldwide. Finding real-time data to correctly quantify this impact is very significant but not as straightforward. Nevertheless, an analysis of the power demand profiles provides insight into the overall economic trends....

In the last years, the overall system inertia is decreasing due to the growing amount of energy resources connected to the grid by means of power inverters. As a consequence, reduced levels of inertia can affect the power system stability since slight variations of power generation or load may cause wider frequency deviations and higher rate of cha...

Small-sized non-synchronous islands, which are inherently characterized by low system inertia, will face in the next years the challenge of integrating larger and larger amount of renewable energy sources, leading to further reduction of inertia. Several means to support inertia and frequency transients have been proposed in the literature, includi...

The modern applied research requires multi-disciplinary approaches and can be effectively enriched thanks to the close collaboration of universities' and industries' working teams. This kind of collaboration implies sharing of hardware and software facilities, and profitable contamination of knowledge and expertise among the members of the differen...

Handbook of Energy Economics and Policy: Fundamentals and Applications for Engineers and Energy Planners presents energy engineers and managers with analytical skills and concepts that enable them to apply simple economic logic to understand the interrelations between energy technologies, economics, regulation and governance of the industry. Sectio...

In recent years, the power system studies changed dramatically, shifting their focus from power system expansion planning as well as operation quality enhancement to other issues such as the integration of large amounts of renewable resources, the definition of new roles for the Transmission System Operator and Distribution System Operator since mo...

In practical applications like power systems, the distribution of the measurement noise is usually unknown and frequently deviates from the assumed Gaussian model, yielding outliers. Under these conditions, the performances of the existing state estimators that rely on Gaussian assumption can deteriorate significantly. In addition, the sampling rat...

div>The COVID-19 crisis is profoundly influencing the global economic framework due to restrictive measures adopted by governments worldwide. Finding real-time data to correctly quantify this impact is very significant but not as straightforward. Nevertheless, an analysis of the power demand profiles provides insight into the overall economic trend...

div>The COVID-19 crisis is profoundly influencing the global economic framework due to restrictive measures adopted by governments worldwide. Finding real-time data to correctly quantify this impact is very significant but not as straightforward. Nevertheless, an analysis of the power demand profiles provides insight into the overall economic trend...

The COVID-19 crisis is profoundly influencing the global economic framework due to restrictive measures adopted by governments worldwide. Finding real-time data to correctly quantify this impact is very significant but not as straightforward. Nevertheless, an analysis of the power demand profiles provides insight into the overall economic trends. T...

A novel distributed-decentralized fixed-time optimal frequency and excitation (Di-De-FTOFE) control framework in a network-preserving power system with nonlinear power flow is proposed in this paper. Firstly, to obtain the solution of the economic dispatch (ED) problem, the proposed control framework contains the distributed fixed-time consensus-ba...

The high penetration of renewable energy sources, combined with a limited possibility to expand the transmission infrastructure, stretches the system stability in the case of faults. For this reason, operators are calling for additional control flexibility in the grid. In this paper, we propose the deployment of switchable reactors and capacitors d...

En los últimos años, un nuevo marco regulador y tecnologías avanzadas han cambiado la forma en que funcionan las redes de energía. Ahora, más que nunca, es necesario un funcionamiento más eficiente de las redes de distribución para hacer frente a los nuevos retos a los que se enfrentan la sociedad moderna y sus infraestructuras.En este libro, algun...

In this this paper, the optimal sizing of electric and thermal storage is applied to the novel definition of a net zero multi energy system (NZEMS). A NZMES is based on producing electricity exclusively from renewable energy sources (RES) and converting it into other energy forms to satisfy multiple energy needs of a community. Due to the intermitt...

A cloud-based architecture developed for the control of dispatchable resources of active users is proposed. This architecture assumes the availability of renewables, dispatchable loads and storage resources in a demand response framework. The integration of a metering infrastructure with the cloud is a relevant aspect. The proposed methodology is b...

Load power sensitivity to voltage changes continuously in the distribution grid due to the increased variability of the load demand (e.g., electric vehicles charging) and generation production (e.g., photovoltaic). Classical sensitivity identification methods do not respect the fast dynamics of such changes: they require long data history and/or hi...

The paper describes the methodology used for developing an electric load microforecasting module to be integrated in the Energy Management System (EMS) architecture designed and tested within the “Energy Router” (ER) project. This Italian R&D project is aimed at providing non-industrial active customers and prosumers with a monitoring and control d...

The authors propose a novel small-scale power plant capable of generating electricity and thermal energy from both solid and gaseous biomass, to be employed in rural electrification projects. The proposed system is based on mature and cheap technology, derived from the automotive sector, ensuring very low capital costs and minimum maintenance. The...

In this paper, correlation between uncertainties related to loads is addressed in transmission network expansion planning (TNEP). The TNEP problem is formulated in a multi-objective form with objective functions of minimum investment cost, minimum congestion cost, and minimum risk cost. Load correlation is modeled using unscented transformation met...

In the present paper, an innovative and cost-effective open test rig for small and medium wind turbines is proposed. The main aim is to develop a valid alternative to wind tunnels, which present unresolved problems such as the unmatched Reynolds numbers for downscaled wind turbine tests. The proposed test bench concept is an open field, subsonic fa...

This paper presents a research activity aimed at exploiting combined cycles (gas turbine plants coupled with steam cycles) for small-scale energy generation from carbon-neutral biomass. Such a goal has never been achieved before, since combined cycles are generally suited only for large-scale applications and for clean fuels. In order to adapt comb...

Energy hubs can provide high flexibility in the operation of the integrated systems. This paper presents Time Varying Acceleration Coefficients Particle Swarm Optimization (TVAC-PSO) algorithm to optimize the Multiple Energy Carriers Economic Dispatch (MECED) problem for hybrid electrical and natural gas networks. The simulation results on two case...

This paper proposes a new optimization algorithm, namely Self-Adoptive Learning with Time Varying Acceleration Coefficient-Gravitational Search Algorithm (SAL-TVAC-GSA), to solve highly nonlinear, non-convex, non-smooth, non-differential, and high-dimension single- and multi-objective Energy Hub Economic Dispatch (EHED) problems. The presented algo...

–This paper proposes a novel optimization algorithm, namely hybrid Time Varying Acceleration Coefficients-Gravitational Search Algorithm-Particle Swarm Optimization (hybrid TVAC-GSA-PSO), to solve the large-scale, highly nonlinear, non-convex, non-smooth, non-differential, non-continuous, and complex Combined Heat and Power Economic Dispatch (CHPED...

This book addresses different algorithms and applications based on the theory of multiobjective goal attainment optimization. In detail the authors show as the optimal asset of the energy hubs network which (i) meets the loads, (ii) minimizes the energy costs and (iii) assures a robust and reliable operation of the multicarrier energy network can b...

A desirable approach to achieve integration and coordination of energy infrastructures in a Smart City is to develop multi-energy carrier systems where different energy resources are optimized following a holistic approach. This chapter presents two optimization methodologies: the first aiming to solve an operating problem; and the second to solve...

This chapter deals with crucial issues on the evolution of natural gas distribution grids, starting from research and field tests activities conducted as part of a research project named "Smart Grid Project". One of the goals of the Smart Grid Project was the design, set up and installation of a prototype of a Supervisory Control and Data Acquisiti...

Optimal power flow (OPF) techniques are a basic function of advanced distribution management systems (ADMS) and can be applied effectively for controlling distribution grids at both medium voltage (MV) and low voltage (LV) voltage levels. This chapter shows a basic methodology for the control of smart distribution grids together with some realistic...

This chapter presents a new modified optimization algorithm based on a powerful heuristic method, namely Time Varying Acceleration Coefficient Gravitational Search Algorithm (TVAC-GSA), to solve optimal power flow (OPF) problems in multi-carrier energy systems focusing the interactions between the power grid and the gas network. The proposed algori...

The paper proposes the integration of structural monitoring with Building Management Systems for electricity and gas distributions. To assess the state of damage of existing buildings the technics of Structural Health Monitoring (SHM) is adopted. SHM as well as to record the occurrence of sudden structural damage resulting from exceptional events (...

The paper proposes the integration of structural monitoring with Building Management Systems for electricity and gas distributions. To assess the state of damage of existing buildings the technics of Structural Health Monitoring (SHM) is adopted. SHM as well as to record the occurrence of sudden structural damage resulting from exceptional events (...

Battery Energy Storage Systems (BESS) can nowadays be used for many applications on the electric distribution grids. They can lead to significant technical and economic benefits such as continuity of service, improvement of power quality levels, smart load management and power flow control between different interconnected electric networks. Their a...

The term smart grid refers to a modernization of the electrical network consisting in the integration of various technologies such as dispersed generation, dispatchable loads, communication systems and storage devices which operates in grid-connected and islanded modes. As a result, traditional optimization techniques in new power systems have been...