The Experts below are selected from a list of 25620 Experts worldwide ranked by ideXlab platform
Mario Paolone - One of the best experts on this subject based on the ideXlab platform.
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explicit conditions on existence and uniqueness of load flow solutions in Distribution Networks
IEEE Transactions on Smart Grid, 2018Co-Authors: Cong Wang, Andrey Bernstein, Jeanyves Le Boudec, Mario PaoloneAbstract:We present explicit sufficient conditions that guarantee the existence and uniqueness of the load-flow solution for Distribution Networks with a generic topology (radial or meshed) modeled with positive sequence equivalents. In the problem, we also account for the presence of shunt elements. The conditions have low computational complexity and thus can be efficiently verified in a real system. Once the conditions are satisfied, the unique load-flow solution can be reached by a given fixed point iteration method of approximately linear complexity. Therefore, the proposed approach is of particular interest for modern Active Distribution Network setup in the context of real-time control. The theory has been confirmed through numerical experiments.
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decentralized voltage control of clustered Active Distribution Network by means of energy storage systems
Electric Power Systems Research, 2016Co-Authors: Maryam Bahramipanah, Rachid Cherkaoui, Mario PaoloneAbstract:The paper presents a Network partitioning strategy for the optimal voltage control of Active Distribution Networks (ADNs) actuated by means of a limited number of Distributed Energy Storage Systems (DESSs). The proposed partitioning uses a linear programming approach by means of the known concept of voltage sensitivities. Then, two decentralized optimal control algorithms are proposed relying, respectively, on the Thevenin equivalents and a recursive approach. These algorithms are developed using the Multi- Agent System (MAS) concept. With respect to a centralized control algorithm, the aim of the Network clustering is to reduce the number of exchanged messages among the clusters when one of the two proposed decentralized control algorithms is adopted. The effectiveness of the two proposed controls is assessed with respect to the performances of the equivalent centralized control using numerical examples composed by the IEEE 13 and IEEE 123 buses Distribution test feeders adapted to include stochastic generation and DESSs.
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explicit conditions on existence and uniqueness of load flow solutions in Distribution Networks
arXiv: Optimization and Control, 2016Co-Authors: Cong Wang, Andrey Bernstein, Jeanyves Le Boudec, Mario PaoloneAbstract:We present explicit sufficient conditions that guarantee the existence and uniqueness of the feasible load-flow solution for Distribution Networks with a generic topology (radial or meshed) modeled with positive sequence equivalents. In the problem, we also account for the presence of shunt elements. The conditions have low computational complexity and thus can be efficiently verified in a real system. Once the conditions are satisfied, the unique load-flow solution can be reached by a given fixed point iteration method of approximately linear complexity. Therefore, the proposed approach is of particular interest for modern Active Distribution Network (ADN) setup in the context of real-time control. The theory has been confirmed through numerical experiments.
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synchronized phasors monitoring during the islanding maneuver of an Active Distribution Network
IEEE Transactions on Smart Grid, 2011Co-Authors: A Borghetti, Mario Paolone, C A Nucci, G Ciappi, A SolariAbstract:The paper describes the performances of a phasor measurement unit (PMU) prototype based on a synchrophasor estimation algorithm conceived for the monitoring of Active Distribution Networks, as well as its experimental application during some intentional islanding and reconnection tests of an urban medium voltage power Network. With respect to typical applications in transmission Networks, the use of PMUs in Distribution Networks requires very low values of total vector error (TVE), which involves particular low values of phase errors of the synchrophasor estimates. These requirements are met by a specifically developed PMU, the characteristics and experimental characterization of which are illustrated in the paper. Three of these PMUs have been then used to monitor experimental tests carried out to assess the capability of a urban Distribution Network to operate autonomously when fed by a local 80 MW combined-cycle power plant. The information provided by the installed PMUs significantly facilitate the operator maneuvers and appear to be useful for the development of an improved control and management system of the Active Distribution Network.
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a synchrophasor estimation algorithm for the monitoring of Active Distribution Networks in steady state and transient conditions
Power Systems Computation Conference, 2011Co-Authors: Mario Paolone, A Borghetti, C A NucciAbstract:The paper presents a PMU prototype specifically developed for Active Distribution Network applications. The paper describes the method developed to accurately measure the synchrophasors, its implementation into a real-time microcontroller and the relevant characterization in both steady state and transient conditions. Concerning these last points, the paper presents a test procedure suitably conceived to characterize the PMU with both steady state – single tone and distorted – and frequency-varying signals simulating power systems electromechanical transients. The results show that the developed PMU exhibits high accuracy levels that are not modified by the harmonic distortion of the reference signal and by its frequency-varying transient behavior and compatible with their use into power Distribution Networks.
Masoud Aliakbargolkar - One of the best experts on this subject based on the ideXlab platform.
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fuzzy load modeling of plug in electric vehicles for optimal storage and dg planning in Active Distribution Network
IEEE Transactions on Vehicular Technology, 2017Co-Authors: Ali Ahmadian, Mahdi Sedghi, Masoud AliakbargolkarAbstract:Plug-in electric vehicle (PEV) charge challenges can be addressed by including their effects on the planning of Distribution Network components. The planning problem becomes more combinatorial when the uncertainty of PEVs is considered as well. In this paper, storage and distributed generation (DG) planning is considered as an option to deal with the problems arising from PEV uncertainty. The optimal location, capacity, and power rating of the stationary batteries, as well as the location and capacity of dispatchable DGs, are determined to minimize the cost objective function under technical constraints. Short-term scheduling and long-term planning, as optimization problems, are solved using Tabu Search and simulated annealing algorithms, respectively. Simulation results show that when connecting PEVs to the Distribution Network, both of the stationary battery and DG units are needed from technical and economic points of view. Moreover, the optimal penetration of stationary storage units increases if the uncertainty of PEVs is considered.
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optimal storage planning in Active Distribution Network considering uncertainty of wind power distributed generation
IEEE Transactions on Power Systems, 2016Co-Authors: Mahdi Sedghi, Ali Ahmadian, Masoud AliakbargolkarAbstract:The penetration of renewable distributed generation (DG) sources has been increased in Active Distribution Networks due to their unique advantages. However, non-dispatchable DGs such as wind turbines raise the risk of Distribution Networks. Such a problem could be eliminated using the proper application of energy storage units. In this paper, optimal planning of batteries in the Distribution grid is presented. The optimal planning determines the location, capacity and power rating of batteries while minimizing the cost objective function subject to technical constraints. The optimal long-term planning is based on the short-term optimal power flow considering the uncertainties. The point estimate method (PEM) is employed for probabilistic optimal power flow. The batteries are scheduled optimally for several purposes to maximize the benefits. A hybrid Tabu search/particle swarm optimization (TS/PSO) algorithm is used to solve the problem. The numerical studies on a 21-node Distribution system show the advantages of the proposed methodology. The proposed approach can also be applied to the realistic sized Networks when some sensitive nodes are considered as candidate locations for installing the storage units.
Ali Ahmadian - One of the best experts on this subject based on the ideXlab platform.
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fuzzy load modeling of plug in electric vehicles for optimal storage and dg planning in Active Distribution Network
IEEE Transactions on Vehicular Technology, 2017Co-Authors: Ali Ahmadian, Mahdi Sedghi, Masoud AliakbargolkarAbstract:Plug-in electric vehicle (PEV) charge challenges can be addressed by including their effects on the planning of Distribution Network components. The planning problem becomes more combinatorial when the uncertainty of PEVs is considered as well. In this paper, storage and distributed generation (DG) planning is considered as an option to deal with the problems arising from PEV uncertainty. The optimal location, capacity, and power rating of the stationary batteries, as well as the location and capacity of dispatchable DGs, are determined to minimize the cost objective function under technical constraints. Short-term scheduling and long-term planning, as optimization problems, are solved using Tabu Search and simulated annealing algorithms, respectively. Simulation results show that when connecting PEVs to the Distribution Network, both of the stationary battery and DG units are needed from technical and economic points of view. Moreover, the optimal penetration of stationary storage units increases if the uncertainty of PEVs is considered.
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Factor analysis based optimal storage planning in Active Distribution Network considering different battery technologies
Applied Energy, 2016Co-Authors: Majid Daghi, Sedghi, Ali Ahmadian, Masoud Aliakbar-golkarAbstract:Today’s batteries are commercially developed technologies and are commonly used for energy storage in Active Distribution grids. In spite of their numerous advantages, batteries are expensive; consequentially, they should be installed and managed in an optimal manner. Furthermore, every battery technology has particular technical and economic characteristics that may be particularly well- or poorly-suited to certain applications. This paper represents a comparison based optimal planning of several battery technologies to find the best choice in Distribution grid applications. The proposed planning methodology is a novel four-layer procedure that considers the uncertainty of battery characteristics as well as load and wind power. The long-term planning layer optimizes the location, capacity and power rating of batteries. The short-term scheduling layer includes the probabilistic optimal power flow with respect to technical constraints. In the uncertainty modeling layer, the technical and economic characteristics of battery technologies and load demands are modeled using fuzzy values. Moreover, in order to consider the correlations and independencies of the wind power profiles, they are classified to several categories using factor analysis technique in the classifying layer. The numerical results show that Zn-Br technology is the most suitable option in deterministic studies, however, the Na-S technology can be an alternative in uncertain conditions. Several sensitivity analyses are carried out to generalize and extend the results. Finally, it is found that more storage capacity is required in realistic conditions thanks to using factor analysis technique.
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optimal storage planning in Active Distribution Network considering uncertainty of wind power distributed generation
IEEE Transactions on Power Systems, 2016Co-Authors: Mahdi Sedghi, Ali Ahmadian, Masoud AliakbargolkarAbstract:The penetration of renewable distributed generation (DG) sources has been increased in Active Distribution Networks due to their unique advantages. However, non-dispatchable DGs such as wind turbines raise the risk of Distribution Networks. Such a problem could be eliminated using the proper application of energy storage units. In this paper, optimal planning of batteries in the Distribution grid is presented. The optimal planning determines the location, capacity and power rating of batteries while minimizing the cost objective function subject to technical constraints. The optimal long-term planning is based on the short-term optimal power flow considering the uncertainties. The point estimate method (PEM) is employed for probabilistic optimal power flow. The batteries are scheduled optimally for several purposes to maximize the benefits. A hybrid Tabu search/particle swarm optimization (TS/PSO) algorithm is used to solve the problem. The numerical studies on a 21-node Distribution system show the advantages of the proposed methodology. The proposed approach can also be applied to the realistic sized Networks when some sensitive nodes are considered as candidate locations for installing the storage units.
A Solari - One of the best experts on this subject based on the ideXlab platform.
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synchronized phasors monitoring during the islanding maneuver of an Active Distribution Network
IEEE Transactions on Smart Grid, 2011Co-Authors: A Borghetti, Mario Paolone, C A Nucci, G Ciappi, A SolariAbstract:The paper describes the performances of a phasor measurement unit (PMU) prototype based on a synchrophasor estimation algorithm conceived for the monitoring of Active Distribution Networks, as well as its experimental application during some intentional islanding and reconnection tests of an urban medium voltage power Network. With respect to typical applications in transmission Networks, the use of PMUs in Distribution Networks requires very low values of total vector error (TVE), which involves particular low values of phase errors of the synchrophasor estimates. These requirements are met by a specifically developed PMU, the characteristics and experimental characterization of which are illustrated in the paper. Three of these PMUs have been then used to monitor experimental tests carried out to assess the capability of a urban Distribution Network to operate autonomously when fed by a local 80 MW combined-cycle power plant. The information provided by the installed PMUs significantly facilitate the operator maneuvers and appear to be useful for the development of an improved control and management system of the Active Distribution Network.
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synchronized phasors monitoring during the islanding maneuver of an Active Distribution Network
IEEE PES Innovative Smart Grid Technologies Conference, 2010Co-Authors: A Borghetti, Mario Paolone, C A Nucci, G Ciappi, A SolariAbstract:The paper describes a phasor measurement unit (PMU) prototype based on a synchrophasor estimation technique specifically conceived for Active Distribution Networks and the experimental results obtained by its application during intentional islanding and reconnection tests of a set of urban feeders. As proved by the laboratory experimental characterization of the developed PMUs, very low values of Total Vector Error (TVE) and both root mean square (RMS) and phase errors of the synchrophasors estimates are obtained, as required by their application in Distribution Networks. Moreover, a substantial independence of the PMU performances from the distortion level of the input signal has been obtained. As illustrated by the application during the islanding experimental tests, aimed at assessing the capability of the urban Distribution Network to operate autonomously fed by a local 80 MW combined cycle power plant and to reconnect to the external grid, the information provided by the PMUs appears to be useful for the development of improved control and management systems.
Hongbin Sun - One of the best experts on this subject based on the ideXlab platform.
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bi level programming for optimal operation of an Active Distribution Network with multiple virtual power plants
IEEE Transactions on Sustainable Energy, 2020Co-Authors: Jianguo Zhou, Hongbin SunAbstract:Virtual power plants (VPPs) have become an effective technique to manage a growing number of flexible resources, which have posed great technical challenges to Distribution system operators (DSOs). This article proposes a bi-level programming approach for the collaborative management of an Active Distribution Network (ADN) with multiple VPPs by designing comprehensive prices for Active and reActive power. The upper layer aims to minimize the overall operation cost of the ADN considering the system security and economic operation and the interactions among the power market, ADN and VPPs. The lower layer aims to maximize the benefits of each VPP agent considering various flexible resources. Then, the bi-level model is transformed into a tractable single-level problem by using a linearization method, the Karush–Kuhn–Tucker (KKT) optimality conditions, the Fortuny-Amat transformation and the strong duality theorem. Case analyses indicate that the proposed strategy can effectively enhance the system security and improve the system economic performance by introducing reActive power pricing. The implementation effect and superiority of the proposed strategy are profoundly analyzed under different scenarios and conditions, which indicates its promising application value in the industrial field.
