Active Phasor Data Concentrator performing adaptive management of latency

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.

[1]  E. Price,et al.  Practical considerations for implementing wide area monitoring, protection and control , 2006, 59th Annual Conference for Protective Relay Engineers, 2006..

[2]  Mario Paolone,et al.  Real-time state estimation of the EPFL-campus medium-voltage grid by using PMUs , 2015, 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT).

[3]  Davide Della Giustina,et al.  Distributed monitoring system for voltage dip classification over distribution grid , 2016 .

[4]  Luigi Atzori,et al.  Cloud-based IoT solution for state estimation in smart grids: Exploiting virtualization and edge-intelligence technologies , 2018, Comput. Networks.

[5]  Lars Nordström,et al.  Design phasor data concentrator as adaptive delay buffer for wide-area damping control , 2015 .

[6]  Luigi Atzori,et al.  PMU-Based Distribution System State Estimation with Adaptive Accuracy Exploiting Local Decision Metrics and IoT Paradigm , 2017, IEEE Transactions on Instrumentation and Measurement.

[7]  Timothy C. Green,et al.  Optimal power flow for autonomous regional active network management system , 2009, 2009 IEEE Power & Energy Society General Meeting.

[8]  Paolo Attilio Pegoraro,et al.  DMS Cyber-Physical Simulation for Assessing the Impact of State Estimation and Communication Media in Smart Grid Operation , 2014, IEEE Transactions on Power Systems.

[9]  Nilanjan Senroy,et al.  Analysis of time delay in a wide-area communication network , 2014, 2014 6th IEEE Power India International Conference (PIICON).

[10]  P. Cochat,et al.  Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.

[11]  Guchuan Zhu,et al.  Design of an Advanced Phasor Data Concentrator for Monitoring of Distributed Energy Resources in Smart Microgrids , 2017, IEEE Transactions on Industrial Informatics.

[12]  Mario Paolone,et al.  Architecture and Experimental Validation of a Low-Latency Phasor Data Concentrator , 2018, IEEE Transactions on Smart Grid.

[13]  Lars Nordström,et al.  Adaptive data link configuration for WAMC applications using a Stateful Data Delivery Service platform , 2016 .

[14]  Paolo Attilio Pegoraro,et al.  Automated test system to assess reporting latency in PMUs , 2016, 2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings.

[15]  Paolo Attilio Pegoraro,et al.  Hardware for PMU and PMU Integration , 2016 .

[16]  Davide Della Giustina,et al.  A distributed automation architecture for distribution networks, from design to implementation , 2017, Sustainable Energy, Grids and Networks.

[17]  Saifur Rahman,et al.  Communication network requirements for major smart grid applications in HAN, NAN and WAN , 2014, Comput. Networks.

[18]  Junqi Liu,et al.  A Fast and Accurate PMU Algorithm for P+M Class Measurement of Synchrophasor and Frequency , 2014, IEEE Transactions on Instrumentation and Measurement.

[19]  A.G. Phadke,et al.  Communication needs for Wide Area Measurement applications , 2010, 2010 5th International Conference on Critical Infrastructure (CRIS).

[20]  Paolo Attilio Pegoraro,et al.  Adaptive management of synchrophasor latency for an active phasor data concentrator , 2017, 2017 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).

[21]  M. G. Adamiak,et al.  Design and implementation of a synchrophasor data concentrator , 2011, 2011 IEEE PES Conference on Innovative Smart Grid Technologies - Middle East.

[22]  Nirwan Ansari,et al.  The Progressive Smart Grid System from Both Power and Communications Aspects , 2012, IEEE Communications Surveys & Tutorials.