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Amedeo Andreotti
Electrical Engineering Departement, University of Naples Federico II, Naples, Italy, 80123

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Journal article
Published: 27 May 2021 in IEEE Transactions on Power Delivery
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This work is devoted to the analysis of voltages produced on overhead distribution lines hit by direct lightning. We will consider arbitrary terminations at both line ends and, also, arbitrary positioning of the pole being struck. We will deal with lines protected by shield wires, placed either above or below the phase conductors. The analytical tools chosen to deal with such complex system are the transfer matrix method and the theory of multiconductor transmission lines with periodic grounding. The innovation of an articial symmetrical unit cell has been introduced to eliminate the need of two characteristic wave impedance matrices and to ease computation ow.

ACS Style

Erika Stracqualursi; Rodolfo Araneo; Jose Antonio Brandao Faria; Amedeo Andreotti. Application of the transfer matrix approach to direct lightning studies of overhead power lines with underbuilt shield wires Part I: Theory. IEEE Transactions on Power Delivery 2021, PP, 1 -1.

AMA Style

Erika Stracqualursi, Rodolfo Araneo, Jose Antonio Brandao Faria, Amedeo Andreotti. Application of the transfer matrix approach to direct lightning studies of overhead power lines with underbuilt shield wires Part I: Theory. IEEE Transactions on Power Delivery. 2021; PP (99):1-1.

Chicago/Turabian Style

Erika Stracqualursi; Rodolfo Araneo; Jose Antonio Brandao Faria; Amedeo Andreotti. 2021. "Application of the transfer matrix approach to direct lightning studies of overhead power lines with underbuilt shield wires Part I: Theory." IEEE Transactions on Power Delivery PP, no. 99: 1-1.

Journal article
Published: 21 May 2021 in IEEE Transactions on Power Delivery
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This work investigates voltages on overhead distribution lines produced by direct strokes, protected by shield wires, placed both above and below phase conductors. An improved formulation based on transfer matrix method and theory of multiconductor transmission lines with periodic grounding allows to eliminate the need of two characteristic wave impedance matrices. Based on the theoretical formulation developed in the first part of this work, as well as on the models there presented for the pole and grounding systems, we report here a wealth of simulation results concerning the line overvoltages subsequent to a pole being hit by lightning. Results are discussed considering a variety of factors, namely, position of the victim pole, type of load at both ends of the line, presence or absence of underbuilt shield wires, waveform of the lightning current, soil parameters and parameters of the frequency-dependent impedance of the pole grounding system. The good performance of the developed method is assessed by comparing our results with some EMTPRV simulations. The transfer matrix method is then used to show the effect of shield wires in conjunction with periodic grounding: we assess the effects of terminations, frequency dependent models of the pole footing and grounding systems and frequency dependent models of lossy ground.

ACS Style

Erika Stracqualursi; Rodolfo Araneo; Jose Antonio Brandao Faria; Amedeo Andreotti. Application of the transfer matrix approach to direct lightning studies of overhead power lines with underbuilt shield wires Part II: Simulation results. IEEE Transactions on Power Delivery 2021, PP, 1 -1.

AMA Style

Erika Stracqualursi, Rodolfo Araneo, Jose Antonio Brandao Faria, Amedeo Andreotti. Application of the transfer matrix approach to direct lightning studies of overhead power lines with underbuilt shield wires Part II: Simulation results. IEEE Transactions on Power Delivery. 2021; PP (99):1-1.

Chicago/Turabian Style

Erika Stracqualursi; Rodolfo Araneo; Jose Antonio Brandao Faria; Amedeo Andreotti. 2021. "Application of the transfer matrix approach to direct lightning studies of overhead power lines with underbuilt shield wires Part II: Simulation results." IEEE Transactions on Power Delivery PP, no. 99: 1-1.

Journal article
Published: 23 April 2021 in Energies
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Here, we propose a new deep learning scheme to solve the energy time series prediction problem. The model implementation is based on the use of Long Short-Term Memory networks and Convolutional Neural Networks. These techniques are combined in such a fashion that inter-dependencies among several different time series can be exploited and used for forecasting purposes by filtering and joining their samples. The resulting learning scheme can be summarized as a superposition of network layers, resulting in a stacked deep neural architecture. We proved the accuracy and robustness of the proposed approach by testing it on real-world energy problems.

ACS Style

Antonello Rosato; Rodolfo Araneo; Amedeo Andreotti; Federico Succetti; Massimo Panella. 2-D Convolutional Deep Neural Network for the Multivariate Prediction of Photovoltaic Time Series. Energies 2021, 14, 2392 .

AMA Style

Antonello Rosato, Rodolfo Araneo, Amedeo Andreotti, Federico Succetti, Massimo Panella. 2-D Convolutional Deep Neural Network for the Multivariate Prediction of Photovoltaic Time Series. Energies. 2021; 14 (9):2392.

Chicago/Turabian Style

Antonello Rosato; Rodolfo Araneo; Amedeo Andreotti; Federico Succetti; Massimo Panella. 2021. "2-D Convolutional Deep Neural Network for the Multivariate Prediction of Photovoltaic Time Series." Energies 14, no. 9: 2392.

Journal article
Published: 16 April 2021 in IEEE Access
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In this paper we consider the problem of restoring the voltage for stand-alone inverter-based Microgrids despite the effects of the time-delays arising with the information exchange among the electrical busses. To guarantee that all Distributed Generators (DGs) reach in a finite-time and maintain the voltage set-point, as imposed by a virtual DG acting as a leader, we suggest a novel robust networked-based control protocol that is also able to counteract both the time-varying communication delays and natural fluctuations caused by the primary controllers. The finite-time stability of the whole Microgrid is analytically proven by exploiting Lyapunov-Krasovskii theory and finite-time stability mathematical tools. In so doing, delay-dependent stability conditions are derived as a set of Linear Matrix Inequalities (LMIs), whose solution allows the proper tuning of the control gains such that the control objective is achieved with required transient and steady-state performances. A thorough numerical analysis is carried out on the IEEE 14-bus test system. Simulation results corroborate the analytical derivation and reveal both the effectiveness and the robustness of the suggested controller in ensuring the voltage restoration in finite-time in spite of the effects of time-varying communication delays.

ACS Style

Amedeo Andreotti; Bianca Caiazzo; Alberto Petrillo; Stefania Santini. Distributed Robust Finite-Time Secondary Control for Stand-Alone Microgrids With Time-Varying Communication Delays. IEEE Access 2021, 9, 59548 -59563.

AMA Style

Amedeo Andreotti, Bianca Caiazzo, Alberto Petrillo, Stefania Santini. Distributed Robust Finite-Time Secondary Control for Stand-Alone Microgrids With Time-Varying Communication Delays. IEEE Access. 2021; 9 ():59548-59563.

Chicago/Turabian Style

Amedeo Andreotti; Bianca Caiazzo; Alberto Petrillo; Stefania Santini. 2021. "Distributed Robust Finite-Time Secondary Control for Stand-Alone Microgrids With Time-Varying Communication Delays." IEEE Access 9, no. : 59548-59563.

Journal article
Published: 16 February 2021 in Electric Power Systems Research
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In this paper, that is an extended version of a work [1] presented at the 2019 International Symposium on Lightning Protection (XV SIPDA), a survey of analytical solutions available in the literature for the evaluation of the lightning-induced voltages in case of both step and linearly rising channel-base currents is presented. Two tools, CiLIV and LIV, based on some of the above mentioned analytical solutions are also presented. Finally, a validation of both analytical solutions and tools is presented.

ACS Style

Amedeo Andreotti; Rodolfo Araneo; Antonio Pierno. A survey on analytical solutions and tools for lightning-induced voltages calculations. Electric Power Systems Research 2021, 194, 107104 .

AMA Style

Amedeo Andreotti, Rodolfo Araneo, Antonio Pierno. A survey on analytical solutions and tools for lightning-induced voltages calculations. Electric Power Systems Research. 2021; 194 ():107104.

Chicago/Turabian Style

Amedeo Andreotti; Rodolfo Araneo; Antonio Pierno. 2021. "A survey on analytical solutions and tools for lightning-induced voltages calculations." Electric Power Systems Research 194, no. : 107104.

Review
Published: 14 December 2020 in Energies
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The large-scale deployment of pervasive sensors and decentralized computing in modern smart grids is expected to exponentially increase the volume of data exchanged by power system applications. In this context, the research for scalable and flexible methodologies aimed at supporting rapid decisions in a data rich, but information limited environment represents a relevant issue to address. To this aim, this paper investigates the role of Knowledge Discovery from massive Datasets in smart grid computing, exploring its various application fields by considering the power system stakeholder available data and knowledge extraction needs. In particular, the aim of this paper is dual. In the first part, the authors summarize the most recent activities developed in this field by the Task Force on “Enabling Paradigms for High-Performance Computing in Wide Area Monitoring Protective and Control Systems” of the IEEE PSOPE Technologies and Innovation Subcommittee. Differently, in the second part, the authors propose the development of a data-driven forecasting methodology, which is modeled by considering the fundamental principles of Knowledge Discovery Process data workflow. Furthermore, the described methodology is applied to solve the load forecasting problem for a complex user case, in order to emphasize the potential role of knowledge discovery in supporting post processing analysis in data-rich environments, as feedback for the improvement of the forecasting performances.

ACS Style

Fabrizio De Caro; Amedeo Andreotti; Rodolfo Araneo; Massimo Panella; Antonello Rosato; Alfredo Vaccaro; Domenico Villacci. A Review of the Enabling Methodologies for Knowledge Discovery from Smart Grids Data. Energies 2020, 13, 6579 .

AMA Style

Fabrizio De Caro, Amedeo Andreotti, Rodolfo Araneo, Massimo Panella, Antonello Rosato, Alfredo Vaccaro, Domenico Villacci. A Review of the Enabling Methodologies for Knowledge Discovery from Smart Grids Data. Energies. 2020; 13 (24):6579.

Chicago/Turabian Style

Fabrizio De Caro; Amedeo Andreotti; Rodolfo Araneo; Massimo Panella; Antonello Rosato; Alfredo Vaccaro; Domenico Villacci. 2020. "A Review of the Enabling Methodologies for Knowledge Discovery from Smart Grids Data." Energies 13, no. 24: 6579.

Journal article
Published: 09 December 2020 in Energies
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The Multiple Microgrids (MMGs) concept has been identified as a promising solution for the management of large-scale power grids in order to maximize the use of widespread renewable energies sources. However, its deployment in realistic operation scenarios is still an open issue due to the presence of non-ideal and unreliable communication systems that allow each component within the power network to share information about its state. Indeed, due to technological constraints, multiple time-varying communication delays consistently appear during data acquisition and the transmission process and their effects must be considered in the control design phase. To this aim, this paper addresses the voltage regulation control problem for MMGs systems in the presence of time-varying communication delays. To solve this problem, we propose a novel hierarchical two-layer distributed control architecture that accounts for the presence of communication latencies in the information exchange. More specifically, the upper control layer aims at guaranteeing a proper and economical reactive power dispatch among MMGs, while the lower control layer aims at ensuring voltage regulation of all electrical buses within each MG to the desired voltage set-point. By leveraging a proper Driver Generator Nodes Selection Algorithm, we first provide the best choice of generator nodes which, considering the upper layer control goal, speeds up the voltage synchronization process of all the buses within each MG to the voltage set-point computed by the upper-control layer. Then, the lower control layer, on the basis of this desired voltage value, drives the reactive power capability of each smart device within each MG and compensates for possible voltage deviations. Simulation analysis is carried out on the realistic case study of an MMGs system consisting of two identical IEEE 14-bus test systems and the numerical results disclose the effectiveness of the proposed control strategy, as well as its robustness with respect to load fluctuations.

ACS Style

Amedeo Andreotti; Bianca Caiazzo; Alberto Petrillo; Stefania Santini; Alfredo Vaccaro. Hierarchical Two-Layer Distributed Control Architecture for Voltage Regulation in Multiple Microgrids in the Presence of Time-Varying Delays. Energies 2020, 13, 6507 .

AMA Style

Amedeo Andreotti, Bianca Caiazzo, Alberto Petrillo, Stefania Santini, Alfredo Vaccaro. Hierarchical Two-Layer Distributed Control Architecture for Voltage Regulation in Multiple Microgrids in the Presence of Time-Varying Delays. Energies. 2020; 13 (24):6507.

Chicago/Turabian Style

Amedeo Andreotti; Bianca Caiazzo; Alberto Petrillo; Stefania Santini; Alfredo Vaccaro. 2020. "Hierarchical Two-Layer Distributed Control Architecture for Voltage Regulation in Multiple Microgrids in the Presence of Time-Varying Delays." Energies 13, no. 24: 6507.

Journal article
Published: 20 July 2020 in IEEE Transactions on Power Delivery
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The lightning performance of an overhead line due to indirect strokes is a measure of its ability to resist to surges produced by nearby lightning. The estimation of the lightning performance generally requires a huge number of calculations requiring computationally intensive simulations. In this paper we present an approach that uses analytical expressions, leading to a very significant reduction of the required computer resources. By this analytical approach, we have investigated the lightning performance under different line arrangements; the study has also been devoted to assessing the improvement that can be obtained by addition of underbuilt shield wires to arrangements in which only upper shield wires are typically used: it is shown that such a measure can lead to significant improvements.

ACS Style

Amedeo Andreotti; Rodolfo Araneo; Farhan Mahmood; Alexandre Piantini; Marcos Rubinstein. An Analytical Approach to Assess the Influence of Shield Wires in Improving the Lightning Performance Due to Indirect Strokes. IEEE Transactions on Power Delivery 2020, 36, 1491 -1498.

AMA Style

Amedeo Andreotti, Rodolfo Araneo, Farhan Mahmood, Alexandre Piantini, Marcos Rubinstein. An Analytical Approach to Assess the Influence of Shield Wires in Improving the Lightning Performance Due to Indirect Strokes. IEEE Transactions on Power Delivery. 2020; 36 (3):1491-1498.

Chicago/Turabian Style

Amedeo Andreotti; Rodolfo Araneo; Farhan Mahmood; Alexandre Piantini; Marcos Rubinstein. 2020. "An Analytical Approach to Assess the Influence of Shield Wires in Improving the Lightning Performance Due to Indirect Strokes." IEEE Transactions on Power Delivery 36, no. 3: 1491-1498.

Journal article
Published: 05 June 2020 in Electric Power Systems Research
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The probability of flashovers due to indirect lightning on overhead lines is us ually calculated assuming a statistical distribution for the induced voltages, and a deterministic and specified value for the insulation level of the line. However, more accurate practices of insulation coordination suggest a statistical treatment for the insulation level too, in order to relate the probabilistic nature of both electrical stress (induced voltage) and the electrical strength (insulation level). In this paper, a statistical insulation coordination method is applied for the assessment of induced-voltage flashovers and, more in general, for the indirect lightning performance of the line. Such a statistical approach, which is inherently more accurate than the traditional approach, allows also to discriminate among probability of occurrence of flashovers on one, two, or on all phases.

ACS Style

Amedeo Andreotti; Rodolfo Araneo; Farhan Mahmood; Antonio Pierno. An accurate approach for the evaluation of the performance of overhead distribution lines due to indirect lightning. Electric Power Systems Research 2020, 186, 106411 .

AMA Style

Amedeo Andreotti, Rodolfo Araneo, Farhan Mahmood, Antonio Pierno. An accurate approach for the evaluation of the performance of overhead distribution lines due to indirect lightning. Electric Power Systems Research. 2020; 186 ():106411.

Chicago/Turabian Style

Amedeo Andreotti; Rodolfo Araneo; Farhan Mahmood; Antonio Pierno. 2020. "An accurate approach for the evaluation of the performance of overhead distribution lines due to indirect lightning." Electric Power Systems Research 186, no. : 106411.

Journal article
Published: 24 April 2020 in Energies
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Surge arresters may represent an efficient choice for limiting lightning surge effects, significantly reducing the outage rate of power lines. The present work firstly presents an efficient numerical approach suitable for insulation coordination studies based on an implicit Crank–Nicolson finite difference time domain method; then, the IEEE recommended surge arrester model is reviewed and implemented by means of a local implicit scheme, based on a set of non-linear equations, that are recast in a suitable form for efficient solution. The model is proven to ensure robustness and second-order accuracy. The implementation of the arrester model in the implicit Crank–Nicolson scheme represents the added value brought by the present study. Indeed, its preserved stability for larger time steps allows reducing running time by more than 60 % compared to the well-known finite difference time domain method based on the explicit leap-frog scheme. The reduced computation time allows faster repeated solutions, which need to be looked for on assessing the lightning performance (randomly changing, parameters such as peak current, rise time, tail time, location of the vertical leader channel, phase conductor voltages, footing resistance, insulator strength, etc. would need to be changed thousands of times).

ACS Style

Erika Stracqualursi; Rodolfo Araneo; Giampiero Lovat; Amedeo Andreotti; Paolo Burghignoli; Jose Brandão Faria; Salvatore Celozzi. Analysis of Metal Oxide Varistor Arresters for Protection of Multiconductor Transmission Lines Using Unconditionally-Stable Crank–Nicolson FDTD. Energies 2020, 13, 2112 .

AMA Style

Erika Stracqualursi, Rodolfo Araneo, Giampiero Lovat, Amedeo Andreotti, Paolo Burghignoli, Jose Brandão Faria, Salvatore Celozzi. Analysis of Metal Oxide Varistor Arresters for Protection of Multiconductor Transmission Lines Using Unconditionally-Stable Crank–Nicolson FDTD. Energies. 2020; 13 (8):2112.

Chicago/Turabian Style

Erika Stracqualursi; Rodolfo Araneo; Giampiero Lovat; Amedeo Andreotti; Paolo Burghignoli; Jose Brandão Faria; Salvatore Celozzi. 2020. "Analysis of Metal Oxide Varistor Arresters for Protection of Multiconductor Transmission Lines Using Unconditionally-Stable Crank–Nicolson FDTD." Energies 13, no. 8: 2112.

Journal article
Published: 01 January 2020 in Electric Power Systems Research
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ACS Style

Amedeo Andreotti; Fabio Mottola; Antonio Pierno; Daniela Proto; Antonio Sforza; Claudio Sterle. Parametric and statistical investigations of lightning-induced voltages on overhead lines by exact analytical solutions. Electric Power Systems Research 2020, 178, 1 .

AMA Style

Amedeo Andreotti, Fabio Mottola, Antonio Pierno, Daniela Proto, Antonio Sforza, Claudio Sterle. Parametric and statistical investigations of lightning-induced voltages on overhead lines by exact analytical solutions. Electric Power Systems Research. 2020; 178 ():1.

Chicago/Turabian Style

Amedeo Andreotti; Fabio Mottola; Antonio Pierno; Daniela Proto; Antonio Sforza; Claudio Sterle. 2020. "Parametric and statistical investigations of lightning-induced voltages on overhead lines by exact analytical solutions." Electric Power Systems Research 178, no. : 1.

Journal article
Published: 03 December 2019 in Electronics
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Modern power distribution systems require reliable, self-organizing and highly scalable voltage control systems, which should be able to promptly compensate the voltage fluctuations induced by intermittent and non-programmable generators. However, their deployment in realistic operation scenarios is still an open issue due, for example, to the presence of non-ideal and unreliable communication systems that allow each component within the power network to share information about its state. Indeed, due to technological constraints, time-delays in data acquisition and transmission are unavoidable and their effects have to be taken into account in the control design phase. To this aim, in this paper, we propose a fully distributed cooperative control protocol allowing the voltage control to be achieved despite the presence of heterogeneous time-varying latencies. The idea is to exploit the distributed intelligence along the network, so that it is possible to bring out an optimal global behavior via cooperative distributed control action that leverages both local and the outdated information shared among the devices within the power network. Detailed simulation results obtained on the realistic case study of the IEEE 30-bus test system are presented and discussed in order to prove the effectiveness of the proposed approach in the task of solving complex voltage control problems. Finally, a robustness analysis with respect to both loads variations and hard communication delays was also carried to disclose the efficiency of the approach.

ACS Style

Amedeo Andreotti; Bianca Caiazzo; Alberto Petrillo; Stefania Santini; Alfredo Vaccaro. Decentralized Smart Grid Voltage Control by Synchronization of Linear Multiagent Systems in the Presence of Time-Varying Latencies. Electronics 2019, 8, 1470 .

AMA Style

Amedeo Andreotti, Bianca Caiazzo, Alberto Petrillo, Stefania Santini, Alfredo Vaccaro. Decentralized Smart Grid Voltage Control by Synchronization of Linear Multiagent Systems in the Presence of Time-Varying Latencies. Electronics. 2019; 8 (12):1470.

Chicago/Turabian Style

Amedeo Andreotti; Bianca Caiazzo; Alberto Petrillo; Stefania Santini; Alfredo Vaccaro. 2019. "Decentralized Smart Grid Voltage Control by Synchronization of Linear Multiagent Systems in the Presence of Time-Varying Latencies." Electronics 8, no. 12: 1470.

Journal article
Published: 24 October 2019 in IEEE Transactions on Power Delivery
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ACS Style

Rodolfo Araneo; Amedeo Andreotti; Jose Brandao Faria; Salvatore Celozzi; Dario Assante; Luigi Verolino. Utilization of Underbuilt Shield Wires to Improve the Lightning Performance of Overhead Distribution Lines Hit by Direct Strokes. IEEE Transactions on Power Delivery 2019, 35, 1656 -1666.

AMA Style

Rodolfo Araneo, Amedeo Andreotti, Jose Brandao Faria, Salvatore Celozzi, Dario Assante, Luigi Verolino. Utilization of Underbuilt Shield Wires to Improve the Lightning Performance of Overhead Distribution Lines Hit by Direct Strokes. IEEE Transactions on Power Delivery. 2019; 35 (4):1656-1666.

Chicago/Turabian Style

Rodolfo Araneo; Amedeo Andreotti; Jose Brandao Faria; Salvatore Celozzi; Dario Assante; Luigi Verolino. 2019. "Utilization of Underbuilt Shield Wires to Improve the Lightning Performance of Overhead Distribution Lines Hit by Direct Strokes." IEEE Transactions on Power Delivery 35, no. 4: 1656-1666.

Journal article
Published: 15 May 2019 in IEEE Transactions on Industry Applications
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In the modern scenario of smart-grids, the concept of Virtual Power Plant (VPP) is undoubtedly a cornerstone for the smooth integration of Renewable Energy Sources (RESs) into existing energy systems with an high penetration level. A Virtual Power Plant is the aggregation of decentralized medium-scale power sources, including photovoltaic and wind power plants, Combined Heat and Power units, as well as demand-responsive loads and storage systems, with a twofold objective. On the one hand, VPP relieves the stability and dispatchability problems on the external smart-grid since it can be operated on an individual basis, appearing as a single system on the whole. On the other hand, VPP improves flexibility coming from all the networked units and enable traders to enhance forecasting and trading programs of renewable energies. This paper proposes a novel distributed decentralized prediction method for the management of VPPs. The novelty of the proposed technique is to effectively combine the concepts of neural networks and machine learning with a distributed architecture that is suitable for the aggregation purposes of the VPP.

ACS Style

Antonello Rosato; Massimo Panella; Rodolfo Araneo; Amedeo Andreotti. A Neural Network Based Prediction System of Distributed Generation for the Management of Microgrids. IEEE Transactions on Industry Applications 2019, 55, 7092 -7102.

AMA Style

Antonello Rosato, Massimo Panella, Rodolfo Araneo, Amedeo Andreotti. A Neural Network Based Prediction System of Distributed Generation for the Management of Microgrids. IEEE Transactions on Industry Applications. 2019; 55 (6):7092-7102.

Chicago/Turabian Style

Antonello Rosato; Massimo Panella; Rodolfo Araneo; Amedeo Andreotti. 2019. "A Neural Network Based Prediction System of Distributed Generation for the Management of Microgrids." IEEE Transactions on Industry Applications 55, no. 6: 7092-7102.

Journal article
Published: 10 April 2019 in Energies
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The large-scale integration of renewable power generators in power grids may cause complex technical issues, which could hinder their hosting capacity. In this context, the mitigation of the grid voltage fluctuations represents one of the main issues to address. Although different control paradigms, based on both local and global computing, could be deployed for online voltage regulation in active power networks, the identification of the most effective approach, which is influenced by the available computing resources, and the required control performance, is still an open problem. To face this issue, in this paper, the mathematical backbone, the expected performance, and the architectural requirements of a novel decentralized control paradigm based on dynamic agents are analyzed. Detailed simulation results obtained in a realistic case study are presented and discussed to prove the effectiveness and the robustness of the proposed method.

ACS Style

Amedeo Andreotti; Alberto Petrillo; Stefania Santini; Alfredo Vaccaro; Domenico Villacci. A Decentralized Architecture Based on Cooperative Dynamic Agents for Online Voltage Regulation in Smart Grids. Energies 2019, 12, 1386 .

AMA Style

Amedeo Andreotti, Alberto Petrillo, Stefania Santini, Alfredo Vaccaro, Domenico Villacci. A Decentralized Architecture Based on Cooperative Dynamic Agents for Online Voltage Regulation in Smart Grids. Energies. 2019; 12 (7):1386.

Chicago/Turabian Style

Amedeo Andreotti; Alberto Petrillo; Stefania Santini; Alfredo Vaccaro; Domenico Villacci. 2019. "A Decentralized Architecture Based on Cooperative Dynamic Agents for Online Voltage Regulation in Smart Grids." Energies 12, no. 7: 1386.

Journal article
Published: 29 January 2019 in IEEE Transactions on Electromagnetic Compatibility
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ACS Style

Amedeo Andreotti; Antonio Pierno; Luigi Verolino. A New Channel-Base Current Model for Lightning-Induced Voltage Calculations. IEEE Transactions on Electromagnetic Compatibility 2019, 61, 617 -622.

AMA Style

Amedeo Andreotti, Antonio Pierno, Luigi Verolino. A New Channel-Base Current Model for Lightning-Induced Voltage Calculations. IEEE Transactions on Electromagnetic Compatibility. 2019; 61 (3):617-622.

Chicago/Turabian Style

Amedeo Andreotti; Antonio Pierno; Luigi Verolino. 2019. "A New Channel-Base Current Model for Lightning-Induced Voltage Calculations." IEEE Transactions on Electromagnetic Compatibility 61, no. 3: 617-622.

Journal article
Published: 15 October 2018 in IEEE Access
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This paper deals with the use of distributed energy storage systems in microgrids, and proposes a planning method which accounts for uncertainties of load and distributed generation. Objectives of the planning method are the reduction of the energy costs, while providing the supply of ancillary services as technical support to the network. The energy costs are evaluated considering an hourly varying pricing scheme and optimizing the storage systems charging/discharging stages. The technical support is devoted to the restraint of bus voltage amplitudes, and of network components’ currents/powers within admissible ranges. The input data uncertainties are managed through three decision theory criteria (i.e., the minimization of expected costs; an approach based on the weighted regret felt by the design engineer; and a stability area criterion), which allow considering multiple design alternatives and futures (i.e., possible values of uncertain input data) in an accurate and feasible way. The design alternatives refer to the size and location of the distributed storage systems, while each future is associated with a different level of load demand and power production of distributed generation over the whole planning period. The results of numerical applications are reported and discussed with reference to a Cigré test network.

ACS Style

Amedeo Andreotti; Guido Carpinelli; Fabio Mottola; Daniela Proto; Angela Russo. Decision Theory Criteria for the Planning of Distributed Energy Storage Systems in the Presence of Uncertainties. IEEE Access 2018, 6, 62136 -62151.

AMA Style

Amedeo Andreotti, Guido Carpinelli, Fabio Mottola, Daniela Proto, Angela Russo. Decision Theory Criteria for the Planning of Distributed Energy Storage Systems in the Presence of Uncertainties. IEEE Access. 2018; 6 (99):62136-62151.

Chicago/Turabian Style

Amedeo Andreotti; Guido Carpinelli; Fabio Mottola; Daniela Proto; Angela Russo. 2018. "Decision Theory Criteria for the Planning of Distributed Energy Storage Systems in the Presence of Uncertainties." IEEE Access 6, no. 99: 62136-62151.

Conference paper
Published: 01 September 2018 in 2018 34th International Conference on Lightning Protection (ICLP)
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In this paper the effects of different parameters affecting lightning-induced voltages are analyzed. Both a parametric and a statistical analysis is carried out by means of the Andreotti et al. solutions, both for a step-function and a Iinearly-rising channel base currents. Use of exact analytical solutions represents the main contribution of this paper.

ACS Style

Amedeo Andreotti; Fabio Mottola; Antonio Pierno; Daniela Proto; Antonio Sforza; Claudio Sterle. Parametric and Statistical Analysis of Lightning-Induced Voltages by Exact Analytical Solutions. 2018 34th International Conference on Lightning Protection (ICLP) 2018, 1 -7.

AMA Style

Amedeo Andreotti, Fabio Mottola, Antonio Pierno, Daniela Proto, Antonio Sforza, Claudio Sterle. Parametric and Statistical Analysis of Lightning-Induced Voltages by Exact Analytical Solutions. 2018 34th International Conference on Lightning Protection (ICLP). 2018; ():1-7.

Chicago/Turabian Style

Amedeo Andreotti; Fabio Mottola; Antonio Pierno; Daniela Proto; Antonio Sforza; Claudio Sterle. 2018. "Parametric and Statistical Analysis of Lightning-Induced Voltages by Exact Analytical Solutions." 2018 34th International Conference on Lightning Protection (ICLP) , no. : 1-7.

Conference paper
Published: 01 June 2018 in 2018 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)
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Power quality issues are fundamental in modern power systems. With reference to the lightning phenomenon, induced voltage is one of the problems that is drawing greater and greater attention for distribution lines. An adequate strategy of protection is then needed in order to prevent damages and outages. In this scenario, an accurate analysis of the induced-voltages effects is then essential, and randomness of the phenomenon has also to be considered. In this work, a probabilistic procedure is applied: particularly, an exact analytical solution is used within a Monte Carlo procedure. The analytical solution to evaluate the induced voltage peak value is applied with reference to measured data on first stroke current values. Further, an analysis has been carried out in order to look for the parametric distributions that best match the obtained distributions.

ACS Style

Amedeo Andreotti; Fabio Mottola; Antonio Pierno; Daniela Proto. Statistical features of lightning-induced voltages. 2018 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM) 2018, 1037 -1042.

AMA Style

Amedeo Andreotti, Fabio Mottola, Antonio Pierno, Daniela Proto. Statistical features of lightning-induced voltages. 2018 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM). 2018; ():1037-1042.

Chicago/Turabian Style

Amedeo Andreotti; Fabio Mottola; Antonio Pierno; Daniela Proto. 2018. "Statistical features of lightning-induced voltages." 2018 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM) , no. : 1037-1042.

Journal article
Published: 23 April 2018 in Applied Sciences
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Protection against lightning-induced voltages is a particularly critical issue, especially for smart grids, due to the presence of electronic-based equipment, as well as control and monitoring devices. Analysis of the severity of the induced voltages is then imperative; on the other hand, the random nature of the lightning phenomenon cannot be disregarded. In this paper, the severity of lightning-induced voltage is analyzed by means of a probabilistic approach which, starting from closed-form solutions, uses a Monte Carlo procedure. Parametric distributions that best fit the distributions of the induced voltages are investigated as well. The results show that the lognormal and the generalized extreme value distributions are the best candidates.

ACS Style

Amedeo Andreotti; Fabio Mottola; Antonio Pierno; Daniela Proto. On the Statistical Characterization of Lightning-Induced Voltages. Applied Sciences 2018, 8, 651 .

AMA Style

Amedeo Andreotti, Fabio Mottola, Antonio Pierno, Daniela Proto. On the Statistical Characterization of Lightning-Induced Voltages. Applied Sciences. 2018; 8 (4):651.

Chicago/Turabian Style

Amedeo Andreotti; Fabio Mottola; Antonio Pierno; Daniela Proto. 2018. "On the Statistical Characterization of Lightning-Induced Voltages." Applied Sciences 8, no. 4: 651.