The Experts below are selected from a list of 2004 Experts worldwide ranked by ideXlab platform
Sara Sulis - One of the best experts on this subject based on the ideXlab platform.
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Low-cost implementation and characterization of an active phasor Data Concentrator
ACTA IMEKO, 2019Co-Authors: Paolo Castello, Carlo Muscas, Paolo Attilio Pegoraro, Sara SulisAbstract:The main components of an advanced measurement system based on synchrophasor technology for the monitoring of power systems are the phasor measurement unit (PMU), which represents the ‘sensor’, and the phasor Data Concentrator (PDC), which collects the Data forwarded by PMUs installed on the field. For the purpose of extending the benefit of synchrophasor technology from transmission grids to distribution networks, different projects are seeking to use low-cost platforms to design devices with PMU functionalities. In this perspective, in order to achieve a complete synchrophasor-based measurement architecture based on low-cost technologies, this work presents a PDC design based on a low-cost platform. Despite the simplicity of the considered hardware, advanced PDC functionalities and innovative control logics are implemented in the prototype. The proposed device is characterised by several experimental tests aimed at assessing its performance in terms of both time synchronisation and capability of managing several PMU Data streams. The feasibility of some additional functionalities and control logics is evaluated in the context of different possible scenarios.
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Phasor Data Concentrator Functionalities to Support a Multi-Agent Control System in Active Distribution Networks
2019 1st International Conference on Energy Transition in the Mediterranean Area (SyNERGY MED), 2019Co-Authors: Paolo Castello, Susanna Mocci, Simona Ruggeri, Sara SulisAbstract:One of the goals of the Smart Grid paradigm is to fulfil consumers' demands and, at the same time, avoiding network contingencies and infrastructure overloads. In this scenario, the management of active demand based on Multi-Agent System (MAS), thanks to its flexibility and autonomy, could allow increasing the energy efficiency and reducing the cost of energy. Nevertheless, the Agents can define an effective strategy only if they are supported by a suitable measurement system providing accurate information about the state of the network (e.g. voltage profile). In this context, the paper presents a management proposal exploiting the synergy between the functionalities implemented in the Phasor Data Concentrator (PDC) specific for distribution grids and the MAS strategy to meet the load needs and to improve the voltage control in modern distribution networks.
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A Proposal for a Data Concentrator for Smart City Applications
2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2019Co-Authors: Paolo Castello, Carlo Muscas, Paolo Attilio Pegoraro, Sara SulisAbstract:Nowadays, different projects worldwide are pushing to move the benefit of information and communications technology (ICT) into public transportation in order to decrease the traffic level and air pollution. Cagliari 2020 is a smart city project focused on the area of the city of Cagliari, in Italy, with the aim to improve the quality of life of the citizens thanks to an enhancement of the public transportation system. Traffic reduction and improvement of the air quality are specific goals of the project. In this framework, to better evaluate the pollution level in the urban area, the buses are used as distributed mobile sensors to increase the temporal and spatial information about air quality. The information provided by the low-cost air quality sensors could be affected by high levels of uncertainty due to the atmospheric variability, as humidity and temperature cause a mismatch between the values obtained during laboratory calibration and real-field operation. To increase the trustworthiness of the received Data, the measurements need to be correlated with other information to exclude the “bad Data”. In order to support the Data acquisition process, this paper presents a proof-of-concept of a Data Concentrator with the aim to collect measurements and improve information correlating the measurements with other types of Data, such as position, speed, and proximity to high-accuracy and fixed air pollution stations.
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I2MTC - A Proposal for a Data Concentrator for Smart City Applications
The Journal of Thoracic and Cardiovascular Surgery, 2019Co-Authors: Paolo Castello, Carlo Muscas, Paolo Attilio Pegoraro, Sara SulisAbstract:Nowadays, different projects worldwide are pushing to move the benefit of information and communications technology (ICT) into public transportation in order to decrease the traffic level and air pollution. Cagliari 2020 is a smart city project focused on the area of the city of Cagliari, in Italy, with the aim to improve the quality of life of the citizens thanks to an enhancement of the public transportation system. Traffic reduction and improvement of the air quality are specific goals of the project. In this framework, to better evaluate the pollution level in the urban area, the buses are used as distributed mobile sensors to increase the temporal and spatial information about air quality. The information provided by the low-cost air quality sensors could be affected by high levels of uncertainty due to the atmospheric variability, as humidity and temperature cause a mismatch between the values obtained during laboratory calibration and real-field operation. To increase the trustworthiness of the received Data, the measurements need to be correlated with other information to exclude the “bad Data”. In order to support the Data acquisition process, this paper presents a proof-of-concept of a Data Concentrator with the aim to collect measurements and improve information correlating the measurements with other types of Data, such as position, speed, and proximity to high-accuracy and fixed air pollution stations.
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active phasor Data Concentrator performing adaptive management of latency
Sustainable Energy Grids and Networks, 2018Co-Authors: Paolo Castello, Carlo Muscas, Paolo Attilio Pegoraro, Sara SulisAbstract:Abstract The Phasor Data Concentrator (PDC) is a function in charge to receive and combine the time-tagged synchrophasor Data from Phasor Measurement Units (PMUs). The tasks of the PDC can include Data handling, processing, and storage. Collected Data are forwarded to the next higher-level element of the hierarchical monitoring architecture, which means either an operational center or a higher level PDC. Definitions of the terminology, functional descriptions and the test procedures concerning the PDC can be found in the guide IEEE C37.244-2013. In particular, in order for the PDC to ensure good latency performance, its interfacing with both the lower hierarchical level (i.e. PMUs with different features) and the higher one must be done in a reasonable time. It is worth noting that, while PMUs and PDCs were originally conceived for transmission systems, they are now expected to become key elements also for the monitoring of modern distribution grids. In this evolving and complex scenario, the PDC could play a crucial and active role. In this paper, an active PDC with advanced functionalities is proposed to manage the delay of several PMU streams so that an original adaptive Data aggregation policy is implemented to allow compliance with time constraints of real-time applications.
Victor O.k. Li - One of the best experts on this subject based on the ideXlab platform.
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GLOBECOM - Optimal phasor Data Concentrator installation for traffic reduction in smart grid wide-area monitoring systems
2013 IEEE Global Communications Conference (GLOBECOM), 2013Co-Authors: Victor O.k. LiAbstract:As one of the core components in wide-area monitoring systems (WAMS), phasor measurement units (PMUs) acquire highly accurate and time-synchronized phasor Data at high frequency for smart grid monitoring, protection, and control. Despite the advantages of PMUs, they do generate much Data and create a heavy burden on the communication network. One way of alleviating such burden is to install phasor Data Concentrators (PDC) across the power system to concentrate Data generated by the PMUs. Although PDCs are expensive as well, this may still be a much cheaper and more practical option than building a high bandwidth network for WAMS. Therefore, it is very important to solve the optimal PDC installation problem so as to achieve a desired level of traffic reduction. This paper is the first to address this problem and we give solutions for the IEEE 14-bus, 30-bus, and 57-bus systems.
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Optimal phasor Data Concentrator installation for traffic reduction in smart grid wide-area monitoring systems
2013 IEEE Global Communications Conference (GLOBECOM), 2013Co-Authors: Victor O.k. LiAbstract:As one of the core components in wide-area monitoring systems (WAMS), phasor measurement units (PMUs) acquire highly accurate and time-synchronized phasor Data at high frequency for smart grid monitoring, protection, and control. Despite the advantages of PMUs, they do generate much Data and create a heavy burden on the communication network. One way of alleviating such burden is to install phasor Data Concentrators (PDC) across the power system to concentrate Data generated by the PMUs. Although PDCs are expensive as well, this may still be a much cheaper and more practical option than building a high bandwidth network for WAMS. Therefore, it is very important to solve the optimal PDC installation problem so as to achieve a desired level of traffic reduction. This paper is the first to address this problem and we give solutions for the IEEE 14-bus, 30-bus, and 57-bus systems.
Paolo Castello - One of the best experts on this subject based on the ideXlab platform.
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AMPS - Real-Scenario Testing of an Active Phasor Data Concentrator
2019 IEEE 10th International Workshop on Applied Measurements for Power Systems (AMPS), 2019Co-Authors: Paolo Castello, Carlo Muscas, Paolo Attilio Pegoraro, Guglielmo Frigo, Asja Derviskadic, Mario PaoloneAbstract:The privileged position of the Phasor Data Concentrator (PDC) in a synchrophasor-based monitoring system can be exploited to make this device the core of a distributed measurement architecture suitable for control and protection applications in power systems. Recent research work has introduced the concept of an active PDC able both to handle adaptively the latency of the input streams sent by the Phasor Measurement Units (PMUs) and to implement control logics based on the measurement values provided by the same PMUs. This paper presents and discusses experimental tests performed on a prototype of the active PDC, which manages, through the implemented advanced functionalities, a realistic number of PMUs located in two different geographical sites. First, we evaluate the PDC processing time as function of the input streams' number. Then, we investigate the feasibility and advantage of an optimised management of the PDC output streams in the presence of several PMUs characterised by different geographical location and Data packet size.
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Low-cost implementation and characterization of an active phasor Data Concentrator
ACTA IMEKO, 2019Co-Authors: Paolo Castello, Carlo Muscas, Paolo Attilio Pegoraro, Sara SulisAbstract:The main components of an advanced measurement system based on synchrophasor technology for the monitoring of power systems are the phasor measurement unit (PMU), which represents the ‘sensor’, and the phasor Data Concentrator (PDC), which collects the Data forwarded by PMUs installed on the field. For the purpose of extending the benefit of synchrophasor technology from transmission grids to distribution networks, different projects are seeking to use low-cost platforms to design devices with PMU functionalities. In this perspective, in order to achieve a complete synchrophasor-based measurement architecture based on low-cost technologies, this work presents a PDC design based on a low-cost platform. Despite the simplicity of the considered hardware, advanced PDC functionalities and innovative control logics are implemented in the prototype. The proposed device is characterised by several experimental tests aimed at assessing its performance in terms of both time synchronisation and capability of managing several PMU Data streams. The feasibility of some additional functionalities and control logics is evaluated in the context of different possible scenarios.
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Phasor Data Concentrator Functionalities to Support a Multi-Agent Control System in Active Distribution Networks
2019 1st International Conference on Energy Transition in the Mediterranean Area (SyNERGY MED), 2019Co-Authors: Paolo Castello, Susanna Mocci, Simona Ruggeri, Sara SulisAbstract:One of the goals of the Smart Grid paradigm is to fulfil consumers' demands and, at the same time, avoiding network contingencies and infrastructure overloads. In this scenario, the management of active demand based on Multi-Agent System (MAS), thanks to its flexibility and autonomy, could allow increasing the energy efficiency and reducing the cost of energy. Nevertheless, the Agents can define an effective strategy only if they are supported by a suitable measurement system providing accurate information about the state of the network (e.g. voltage profile). In this context, the paper presents a management proposal exploiting the synergy between the functionalities implemented in the Phasor Data Concentrator (PDC) specific for distribution grids and the MAS strategy to meet the load needs and to improve the voltage control in modern distribution networks.
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An Active Phasor Data Concentrator Suitable for Control and Protection Applications
2019 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA), 2019Co-Authors: Paolo Castello, Carlo Muscas, Paolo Attilio Pegoraro, Giorgio Maria Giannuzzi, Camilla Maiolini, Roberto ZaottiniAbstract:Synchrophasor technology is the backbone of the most advanced Wide Area Monitoring Systems. The two main components of such systems are the Phasor Measurement Unit (PMU), which is the sensing element of the measurement chain, and the Phasor Data Concentrator (PDC), whose primary goal is to collect and time-align the synchronized measurements provided by the PMUs installed in the grid. A hierarchical structure, composed of different levels of PDCs, can be also implemented in large power systems. Transmission System Operators are interested to better exploit the potentialities offered by the synchrophasor technology, moving in the direction of synchrophasor-based Wide Area Monitoring Protection And Control (WAMPAC) systems. In this perspective, by considering that the PDC is the first element of a synchrophasor measurement system with a standpoint on the overall state of the electrical grid, this device can be a perfect candidate to play an active role, by suitably handling the Data coming from several PMUs or lower level PDCs. Following these criteria, this work explores the feasibility of an active PDC whose functionalities allow the definition of specific protection and control logics.
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A Proposal for a Data Concentrator for Smart City Applications
2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2019Co-Authors: Paolo Castello, Carlo Muscas, Paolo Attilio Pegoraro, Sara SulisAbstract:Nowadays, different projects worldwide are pushing to move the benefit of information and communications technology (ICT) into public transportation in order to decrease the traffic level and air pollution. Cagliari 2020 is a smart city project focused on the area of the city of Cagliari, in Italy, with the aim to improve the quality of life of the citizens thanks to an enhancement of the public transportation system. Traffic reduction and improvement of the air quality are specific goals of the project. In this framework, to better evaluate the pollution level in the urban area, the buses are used as distributed mobile sensors to increase the temporal and spatial information about air quality. The information provided by the low-cost air quality sensors could be affected by high levels of uncertainty due to the atmospheric variability, as humidity and temperature cause a mismatch between the values obtained during laboratory calibration and real-field operation. To increase the trustworthiness of the received Data, the measurements need to be correlated with other information to exclude the “bad Data”. In order to support the Data acquisition process, this paper presents a proof-of-concept of a Data Concentrator with the aim to collect measurements and improve information correlating the measurements with other types of Data, such as position, speed, and proximity to high-accuracy and fixed air pollution stations.
Chaiyod Pirak - One of the best experts on this subject based on the ideXlab platform.
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location optimization for Data Concentrator unit in ieee 802 15 4 smart grid networks
International Symposium on Communications and Information Technologies, 2017Co-Authors: Songserm Tanakornpintong, Tanayoot Sangsuwan, Natthanan Tangsunantham, Chaiyod PirakAbstract:In the smart grid system, an advanced meter infrastructure (AMI) is an integral subsystem mainly used to collect monthly consumption and load profile. Hence, a large amount of information will be exchanged within these systems. Data Concentrator unit (DCU) is used to collect the information from smart meters before forwarding to meter Data management system. In order to meet the AMI's QoS such as throughput and delay, the optimal placement for DCU has to be thoroughly investigated. This paper aims at developing an optimal location algorithm for the DCU placement in a non-beacon-mode IEEE 802.15.4 smart grid network. The optimization algorithm preliminarily computes the DCU position based on a minimum hop count metric. Nevertheless, it is possible that multiple positions achieving the minimum hop count may be found; therefore, the additional performance metric, i.e. the averaged throughput and delay, will be used to select the ultimately optimal location. In this paper, the maximum throughput with the acceptable averaged delay constraint is proposed by considering the behavior of the AMI meters which is almost stationary in the network. From the simulation results, it is obvious that the proposed methodology is significantly effective.
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ISCIT - Location optimization for Data Concentrator unit in IEEE 802.15.4 smart grid networks
2017 17th International Symposium on Communications and Information Technologies (ISCIT), 2017Co-Authors: Songserm Tanakornpintong, Tanayoot Sangsuwan, Natthanan Tangsunantham, Chaiyod PirakAbstract:In the smart grid system, an advanced meter infrastructure (AMI) is an integral subsystem mainly used to collect monthly consumption and load profile. Hence, a large amount of information will be exchanged within these systems. Data Concentrator unit (DCU) is used to collect the information from smart meters before forwarding to meter Data management system. In order to meet the AMI's QoS such as throughput and delay, the optimal placement for DCU has to be thoroughly investigated. This paper aims at developing an optimal location algorithm for the DCU placement in a non-beacon-mode IEEE 802.15.4 smart grid network. The optimization algorithm preliminarily computes the DCU position based on a minimum hop count metric. Nevertheless, it is possible that multiple positions achieving the minimum hop count may be found; therefore, the additional performance metric, i.e. the averaged throughput and delay, will be used to select the ultimately optimal location. In this paper, the maximum throughput with the acceptable averaged delay constraint is proposed by considering the behavior of the AMI meters which is almost stationary in the network. From the simulation results, it is obvious that the proposed methodology is significantly effective.
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Channel-aware optimal placement algorithm for Data Concentrator unit in smart grid systems
2017 14th International Conference on Electrical Engineering Electronics Computer Telecommunications and Information Technology (ECTI-CON), 2017Co-Authors: Chaiyod Pirak, Tanayoot Sangsuwan, Songserm Tanakornpintong, Rudolf MatharAbstract:In this paper, the channel-aware optimal location algorithm for the Data Concentrator unit placement in smart grid systems is proposed. The M/M/1/K queuing model is adopted for analyzing the averaged throughput and delay. The optimization algorithm based on a minimum hop count approach with the acceptable averaged throughput and delay constraints, and the optimal DCU localization methodology are proposed. Specifically, the optimal location algorithm will determine the optimal location for DCU by using the principle of minimum hop count first. If there are multiple locations achieving the minimum hop count and constraints, the averaged received signal strength for the 1st-hop tier will be used as the additional performance metric to select the ultimately optimal location, in which the optimal location achieving the maximum averaged received signal strength will be selected. Hence, the system reliability and performance will be maximized. From the simulation results, it is obvious that the proposed methodology is significantly effective, in which the optimal location for DCU yielding the acceptable averaged throughput and delay with the maximum received signal strength is achieved.
Carlo Muscas - One of the best experts on this subject based on the ideXlab platform.
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AMPS - Real-Scenario Testing of an Active Phasor Data Concentrator
2019 IEEE 10th International Workshop on Applied Measurements for Power Systems (AMPS), 2019Co-Authors: Paolo Castello, Carlo Muscas, Paolo Attilio Pegoraro, Guglielmo Frigo, Asja Derviskadic, Mario PaoloneAbstract:The privileged position of the Phasor Data Concentrator (PDC) in a synchrophasor-based monitoring system can be exploited to make this device the core of a distributed measurement architecture suitable for control and protection applications in power systems. Recent research work has introduced the concept of an active PDC able both to handle adaptively the latency of the input streams sent by the Phasor Measurement Units (PMUs) and to implement control logics based on the measurement values provided by the same PMUs. This paper presents and discusses experimental tests performed on a prototype of the active PDC, which manages, through the implemented advanced functionalities, a realistic number of PMUs located in two different geographical sites. First, we evaluate the PDC processing time as function of the input streams' number. Then, we investigate the feasibility and advantage of an optimised management of the PDC output streams in the presence of several PMUs characterised by different geographical location and Data packet size.
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Low-cost implementation and characterization of an active phasor Data Concentrator
ACTA IMEKO, 2019Co-Authors: Paolo Castello, Carlo Muscas, Paolo Attilio Pegoraro, Sara SulisAbstract:The main components of an advanced measurement system based on synchrophasor technology for the monitoring of power systems are the phasor measurement unit (PMU), which represents the ‘sensor’, and the phasor Data Concentrator (PDC), which collects the Data forwarded by PMUs installed on the field. For the purpose of extending the benefit of synchrophasor technology from transmission grids to distribution networks, different projects are seeking to use low-cost platforms to design devices with PMU functionalities. In this perspective, in order to achieve a complete synchrophasor-based measurement architecture based on low-cost technologies, this work presents a PDC design based on a low-cost platform. Despite the simplicity of the considered hardware, advanced PDC functionalities and innovative control logics are implemented in the prototype. The proposed device is characterised by several experimental tests aimed at assessing its performance in terms of both time synchronisation and capability of managing several PMU Data streams. The feasibility of some additional functionalities and control logics is evaluated in the context of different possible scenarios.
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An Active Phasor Data Concentrator Suitable for Control and Protection Applications
2019 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA), 2019Co-Authors: Paolo Castello, Carlo Muscas, Paolo Attilio Pegoraro, Giorgio Maria Giannuzzi, Camilla Maiolini, Roberto ZaottiniAbstract:Synchrophasor technology is the backbone of the most advanced Wide Area Monitoring Systems. The two main components of such systems are the Phasor Measurement Unit (PMU), which is the sensing element of the measurement chain, and the Phasor Data Concentrator (PDC), whose primary goal is to collect and time-align the synchronized measurements provided by the PMUs installed in the grid. A hierarchical structure, composed of different levels of PDCs, can be also implemented in large power systems. Transmission System Operators are interested to better exploit the potentialities offered by the synchrophasor technology, moving in the direction of synchrophasor-based Wide Area Monitoring Protection And Control (WAMPAC) systems. In this perspective, by considering that the PDC is the first element of a synchrophasor measurement system with a standpoint on the overall state of the electrical grid, this device can be a perfect candidate to play an active role, by suitably handling the Data coming from several PMUs or lower level PDCs. Following these criteria, this work explores the feasibility of an active PDC whose functionalities allow the definition of specific protection and control logics.
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A Proposal for a Data Concentrator for Smart City Applications
2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2019Co-Authors: Paolo Castello, Carlo Muscas, Paolo Attilio Pegoraro, Sara SulisAbstract:Nowadays, different projects worldwide are pushing to move the benefit of information and communications technology (ICT) into public transportation in order to decrease the traffic level and air pollution. Cagliari 2020 is a smart city project focused on the area of the city of Cagliari, in Italy, with the aim to improve the quality of life of the citizens thanks to an enhancement of the public transportation system. Traffic reduction and improvement of the air quality are specific goals of the project. In this framework, to better evaluate the pollution level in the urban area, the buses are used as distributed mobile sensors to increase the temporal and spatial information about air quality. The information provided by the low-cost air quality sensors could be affected by high levels of uncertainty due to the atmospheric variability, as humidity and temperature cause a mismatch between the values obtained during laboratory calibration and real-field operation. To increase the trustworthiness of the received Data, the measurements need to be correlated with other information to exclude the “bad Data”. In order to support the Data acquisition process, this paper presents a proof-of-concept of a Data Concentrator with the aim to collect measurements and improve information correlating the measurements with other types of Data, such as position, speed, and proximity to high-accuracy and fixed air pollution stations.
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I2MTC - A Proposal for a Data Concentrator for Smart City Applications
The Journal of Thoracic and Cardiovascular Surgery, 2019Co-Authors: Paolo Castello, Carlo Muscas, Paolo Attilio Pegoraro, Sara SulisAbstract:Nowadays, different projects worldwide are pushing to move the benefit of information and communications technology (ICT) into public transportation in order to decrease the traffic level and air pollution. Cagliari 2020 is a smart city project focused on the area of the city of Cagliari, in Italy, with the aim to improve the quality of life of the citizens thanks to an enhancement of the public transportation system. Traffic reduction and improvement of the air quality are specific goals of the project. In this framework, to better evaluate the pollution level in the urban area, the buses are used as distributed mobile sensors to increase the temporal and spatial information about air quality. The information provided by the low-cost air quality sensors could be affected by high levels of uncertainty due to the atmospheric variability, as humidity and temperature cause a mismatch between the values obtained during laboratory calibration and real-field operation. To increase the trustworthiness of the received Data, the measurements need to be correlated with other information to exclude the “bad Data”. In order to support the Data acquisition process, this paper presents a proof-of-concept of a Data Concentrator with the aim to collect measurements and improve information correlating the measurements with other types of Data, such as position, speed, and proximity to high-accuracy and fixed air pollution stations.
