explicit congestion notification

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Mario Paolone - One of the best experts on this subject based on the ideXlab platform.

  • Hardware-in-the-Loop validation of the Grid explicit congestion notification mechanism for primary voltage control in Active Distribution Networks
    2016 Power Systems Computation Conference (PSCC), 2016
    Co-Authors: Konstantina Christakou, Ralf Rudnik, Styliani Sarri, Jean-yves Le Boudec, Marco Pignati, Mario Paolone
    Abstract:

    The Grid explicit congestion notification control mechanism (GECN) is a broadcast-based real-time demand-response mechanism designed for primary voltage control in Active Distribution Networks (ADNs) [1,2]. An extensive set of off-line simulations has indicated that GECN is a promising candidate for deployment in the real field. However, prior to the actual deployment of the control mechanism, it is crucial to validate its performance when controlling a real grid. For this purpose we design and develop a dedicated experimental Hardware-in-the-Loop (HIL) test platform for the real-time validation of GECN. The HIL architecture consists of a Real-Time Simulator (RTS) where a real distribution feeder is modeled, together with controllable loads and the associated measurement infrastructure composed by virtual PMUs. These virtual metering devices stream data, via Ethernet, to a local Phasor Data Concentrator suitably coupled with a Discrete Kalman Filter State Estimator. The estimated network state is received by a GECN network controller. The control loop is closed by transmitting the computed broadcast control signals back to the network buses in the RTS using a micro-controller. By using this experimental setup we are able to (i) assess the performance of the whole control process in terms of voltage optimality and time latencies in a realistic setting and (ii) implement the GECN controllers into dedicated equipment that with the proper ruggedization can be readily deployed in the real field.

  • PSCC - Hardware-in-the-Loop validation of the Grid explicit congestion notification mechanism for primary voltage control in Active Distribution Networks
    2016 Power Systems Computation Conference (PSCC), 2016
    Co-Authors: Konstantina Christakou, Ralf Rudnik, Styliani Sarri, Jean-yves Le Boudec, Marco Pignati, Mario Paolone
    Abstract:

    The Grid explicit congestion notification control mechanism (GECN) is a broadcast-based real-time demand-response mechanism designed for primary voltage control in Active Distribution Networks (ADNs) [1,2]. An extensive set of off-line simulations has indicated that GECN is a promising candidate for deployment in the real field. However, prior to the actual deployment of the control mechanism, it is crucial to validate its performance when controlling a real grid. For this purpose we design and develop a dedicated experimental Hardware-in-the-Loop (HIL) test platform for the real-time validation of GECN. The HIL architecture consists of a Real-Time Simulator (RTS) where a real distribution feeder is modeled, together with controllable loads and the associated measurement infrastructure composed by virtual PMUs. These virtual metering devices stream data, via Ethernet, to a local Phasor Data Concentrator suitably coupled with a Discrete Kalman Filter State Estimator. The estimated network state is received by a GECN network controller. The control loop is closed by transmitting the computed broadcast control signals back to the network buses in the RTS using a micro-controller. By using this experimental setup we are able to (i) assess the performance of the whole control process in terms of voltage optimality and time latencies in a realistic setting and (ii) implement the GECN controllers into dedicated equipment that with the proper ruggedization can be readily deployed in the real field.

  • PSCC - Hardware-in-the-Loop validation of the Grid explicit congestion notification mechanism for primary voltage control in Active Distribution Networks
    2016 Power Systems Computation Conference (PSCC), 2016
    Co-Authors: Konstantina Christakou, Ralf Rudnik, Styliani Sarri, Jean-yves Le Boudec, Marco Pignati, Mario Paolone
    Abstract:

    The Grid explicit congestion notification control mechanism (GECN) is a broadcast-based real-time demand-response mechanism designed for primary voltage control in Active Distribution Networks (ADNs) [1,2]. An extensive set of off-line simulations has indicated that GECN is a promising candidate for deployment in the real field. However, prior to the actual deployment of the control mechanism, it is crucial to validate its performance when controlling a real grid. For this purpose we design and develop a dedicated experimental Hardware-in-the-Loop (HIL) test platform for the real-time validation of GECN. The HIL architecture consists of a Real-Time Simulator (RTS) where a real distribution feeder is modeled, together with controllable loads and the associated measurement infrastructure composed by virtual PMUs. These virtual metering devices stream data, via Ethernet, to a local Phasor Data Concentrator suitably coupled with a Discrete Kalman Filter State Estimator. The estimated network state is received by a GECN network controller. The control loop is closed by transmitting the computed broadcast control signals back to the network buses in the RTS using a micro-controller. By using this experimental setup we are able to (i) assess the performance of the whole control process in terms of voltage optimality and time latencies in a realistic setting and (ii) implement the GECN controllers into dedicated equipment that with the proper ruggedization can be readily deployed in the real field.

Konstantina Christakou - One of the best experts on this subject based on the ideXlab platform.

  • Hardware-in-the-Loop validation of the Grid explicit congestion notification mechanism for primary voltage control in Active Distribution Networks
    2016 Power Systems Computation Conference (PSCC), 2016
    Co-Authors: Konstantina Christakou, Ralf Rudnik, Styliani Sarri, Jean-yves Le Boudec, Marco Pignati, Mario Paolone
    Abstract:

    The Grid explicit congestion notification control mechanism (GECN) is a broadcast-based real-time demand-response mechanism designed for primary voltage control in Active Distribution Networks (ADNs) [1,2]. An extensive set of off-line simulations has indicated that GECN is a promising candidate for deployment in the real field. However, prior to the actual deployment of the control mechanism, it is crucial to validate its performance when controlling a real grid. For this purpose we design and develop a dedicated experimental Hardware-in-the-Loop (HIL) test platform for the real-time validation of GECN. The HIL architecture consists of a Real-Time Simulator (RTS) where a real distribution feeder is modeled, together with controllable loads and the associated measurement infrastructure composed by virtual PMUs. These virtual metering devices stream data, via Ethernet, to a local Phasor Data Concentrator suitably coupled with a Discrete Kalman Filter State Estimator. The estimated network state is received by a GECN network controller. The control loop is closed by transmitting the computed broadcast control signals back to the network buses in the RTS using a micro-controller. By using this experimental setup we are able to (i) assess the performance of the whole control process in terms of voltage optimality and time latencies in a realistic setting and (ii) implement the GECN controllers into dedicated equipment that with the proper ruggedization can be readily deployed in the real field.

  • PSCC - Hardware-in-the-Loop validation of the Grid explicit congestion notification mechanism for primary voltage control in Active Distribution Networks
    2016 Power Systems Computation Conference (PSCC), 2016
    Co-Authors: Konstantina Christakou, Ralf Rudnik, Styliani Sarri, Jean-yves Le Boudec, Marco Pignati, Mario Paolone
    Abstract:

    The Grid explicit congestion notification control mechanism (GECN) is a broadcast-based real-time demand-response mechanism designed for primary voltage control in Active Distribution Networks (ADNs) [1,2]. An extensive set of off-line simulations has indicated that GECN is a promising candidate for deployment in the real field. However, prior to the actual deployment of the control mechanism, it is crucial to validate its performance when controlling a real grid. For this purpose we design and develop a dedicated experimental Hardware-in-the-Loop (HIL) test platform for the real-time validation of GECN. The HIL architecture consists of a Real-Time Simulator (RTS) where a real distribution feeder is modeled, together with controllable loads and the associated measurement infrastructure composed by virtual PMUs. These virtual metering devices stream data, via Ethernet, to a local Phasor Data Concentrator suitably coupled with a Discrete Kalman Filter State Estimator. The estimated network state is received by a GECN network controller. The control loop is closed by transmitting the computed broadcast control signals back to the network buses in the RTS using a micro-controller. By using this experimental setup we are able to (i) assess the performance of the whole control process in terms of voltage optimality and time latencies in a realistic setting and (ii) implement the GECN controllers into dedicated equipment that with the proper ruggedization can be readily deployed in the real field.

  • PSCC - Hardware-in-the-Loop validation of the Grid explicit congestion notification mechanism for primary voltage control in Active Distribution Networks
    2016 Power Systems Computation Conference (PSCC), 2016
    Co-Authors: Konstantina Christakou, Ralf Rudnik, Styliani Sarri, Jean-yves Le Boudec, Marco Pignati, Mario Paolone
    Abstract:

    The Grid explicit congestion notification control mechanism (GECN) is a broadcast-based real-time demand-response mechanism designed for primary voltage control in Active Distribution Networks (ADNs) [1,2]. An extensive set of off-line simulations has indicated that GECN is a promising candidate for deployment in the real field. However, prior to the actual deployment of the control mechanism, it is crucial to validate its performance when controlling a real grid. For this purpose we design and develop a dedicated experimental Hardware-in-the-Loop (HIL) test platform for the real-time validation of GECN. The HIL architecture consists of a Real-Time Simulator (RTS) where a real distribution feeder is modeled, together with controllable loads and the associated measurement infrastructure composed by virtual PMUs. These virtual metering devices stream data, via Ethernet, to a local Phasor Data Concentrator suitably coupled with a Discrete Kalman Filter State Estimator. The estimated network state is received by a GECN network controller. The control loop is closed by transmitting the computed broadcast control signals back to the network buses in the RTS using a micro-controller. By using this experimental setup we are able to (i) assess the performance of the whole control process in terms of voltage optimality and time latencies in a realistic setting and (ii) implement the GECN controllers into dedicated equipment that with the proper ruggedization can be readily deployed in the real field.

Bob Briscoe - One of the best experts on this subject based on the ideXlab platform.

  • TRILL (TRansparent Interconnection of Lots of Links): ECN (explicit congestion notification) Support
    2018
    Co-Authors: Donald Eastlake, Bob Briscoe
    Abstract:

    explicit congestion notification (ECN) allows a forwarding element to notify downstream devices, including the destination, of the onset of congestion without having to drop packets. This can improve network efficiency through better congestion control without packet drops. This document extends ECN to TRILL (TRansparent Interconnection of Lots of Links) switches, including integration with IP ECN, and provides for ECN marking in the TRILL Header Extension Flags Word (see RFC 7179).

  • TRILL: ECN (explicit congestion notification) Support
    2016
    Co-Authors: Donald Eastlake, Bob Briscoe
    Abstract:

    explicit congestion notification (ECN) allows a forwarding element to notify downstream devices, including the destination, of the onset of congestion without having to drop packets. This document extends this capability to TRILL switches, including integration with IP ECN.

  • Problem Statement and Requirements for Increased Accuracy in explicit congestion notification (ECN) Feedback
    2015
    Co-Authors: Mirja Kuehlewind, Richard Scheffenegger, Bob Briscoe
    Abstract:

    explicit congestion notification (ECN) is a mechanism where network nodes can mark IP packets, instead of dropping them, to indicate congestion to the endpoints. An ECN-capable receiver will feed this information back to the sender. ECN is specified for TCP in such a way that it can only feed back one congestion signal per Round-Trip Time (RTT). In contrast, ECN for other transport protocols, such as RTP/UDP and SCTP, is specified with more accurate ECN feedback. Recent new TCP mechanisms (like congestion Exposure (ConEx) or Data Center TCP (DCTCP)) need more accurate ECN feedback in the case where more than one marking is received in one RTT. This document specifies requirements for an update to the TCP protocol to provide more accurate ECN feedback.

  • Tunnelling of explicit congestion notification
    2010
    Co-Authors: Bob Briscoe
    Abstract:

    This document redefines how the explicit congestion notification (ECN) field of the IP header should be constructed on entry to and exit from any IP in IP tunnel. On encapsulation it updates RFC3168 to bring all IP in IP tunnels (v4 or v6) into line with RFC4301 IPsec ECN processing. On decapsulation it updates both RFC3168 and RFC4301 to add new behaviours for previously unused combinations of inner and outer header. The new rules ensure the ECN field is correctly propagated across a tunnel whether it is used to signal one or two severity levels of congestion, whereas before only one severity level was supported. Tunnel endpoints can be updated in any order without affecting pre-existing uses of the ECN field (backward compatible). Nonetheless, operators wanting to support two severity levels (e.g. for pre-congestion notification--PCN) can require compliance with this new specification. A thorough analysis of the reasoning for these changes and the implications is included. In the unlikely event that the new rules do not meet a specific need, RFC4774 gives guidance on designing alternate ECN semantics and this document extends that to include tunnelling issues.

  • explicit congestion Marking in MPLS
    2008
    Co-Authors: Bob Briscoe, June Tay, Bruce Davie
    Abstract:

    RFC 3270 defines how to support the Diffserv architecture in MPLS networks, including how to encode Diffserv Code Points (DSCPs) in an MPLS header. DSCPs may be encoded in the EXP field, while other uses of that field are not precluded. RFC3270 makes no statement about how explicit congestion notification (ECN) marking might be encoded in the MPLS header. This draft defines how an operator might define some of the EXP codepoints for explicit congestion notification, without precluding other uses.

Marco Pignati - One of the best experts on this subject based on the ideXlab platform.

  • Hardware-in-the-Loop validation of the Grid explicit congestion notification mechanism for primary voltage control in Active Distribution Networks
    2016 Power Systems Computation Conference (PSCC), 2016
    Co-Authors: Konstantina Christakou, Ralf Rudnik, Styliani Sarri, Jean-yves Le Boudec, Marco Pignati, Mario Paolone
    Abstract:

    The Grid explicit congestion notification control mechanism (GECN) is a broadcast-based real-time demand-response mechanism designed for primary voltage control in Active Distribution Networks (ADNs) [1,2]. An extensive set of off-line simulations has indicated that GECN is a promising candidate for deployment in the real field. However, prior to the actual deployment of the control mechanism, it is crucial to validate its performance when controlling a real grid. For this purpose we design and develop a dedicated experimental Hardware-in-the-Loop (HIL) test platform for the real-time validation of GECN. The HIL architecture consists of a Real-Time Simulator (RTS) where a real distribution feeder is modeled, together with controllable loads and the associated measurement infrastructure composed by virtual PMUs. These virtual metering devices stream data, via Ethernet, to a local Phasor Data Concentrator suitably coupled with a Discrete Kalman Filter State Estimator. The estimated network state is received by a GECN network controller. The control loop is closed by transmitting the computed broadcast control signals back to the network buses in the RTS using a micro-controller. By using this experimental setup we are able to (i) assess the performance of the whole control process in terms of voltage optimality and time latencies in a realistic setting and (ii) implement the GECN controllers into dedicated equipment that with the proper ruggedization can be readily deployed in the real field.

  • PSCC - Hardware-in-the-Loop validation of the Grid explicit congestion notification mechanism for primary voltage control in Active Distribution Networks
    2016 Power Systems Computation Conference (PSCC), 2016
    Co-Authors: Konstantina Christakou, Ralf Rudnik, Styliani Sarri, Jean-yves Le Boudec, Marco Pignati, Mario Paolone
    Abstract:

    The Grid explicit congestion notification control mechanism (GECN) is a broadcast-based real-time demand-response mechanism designed for primary voltage control in Active Distribution Networks (ADNs) [1,2]. An extensive set of off-line simulations has indicated that GECN is a promising candidate for deployment in the real field. However, prior to the actual deployment of the control mechanism, it is crucial to validate its performance when controlling a real grid. For this purpose we design and develop a dedicated experimental Hardware-in-the-Loop (HIL) test platform for the real-time validation of GECN. The HIL architecture consists of a Real-Time Simulator (RTS) where a real distribution feeder is modeled, together with controllable loads and the associated measurement infrastructure composed by virtual PMUs. These virtual metering devices stream data, via Ethernet, to a local Phasor Data Concentrator suitably coupled with a Discrete Kalman Filter State Estimator. The estimated network state is received by a GECN network controller. The control loop is closed by transmitting the computed broadcast control signals back to the network buses in the RTS using a micro-controller. By using this experimental setup we are able to (i) assess the performance of the whole control process in terms of voltage optimality and time latencies in a realistic setting and (ii) implement the GECN controllers into dedicated equipment that with the proper ruggedization can be readily deployed in the real field.

  • PSCC - Hardware-in-the-Loop validation of the Grid explicit congestion notification mechanism for primary voltage control in Active Distribution Networks
    2016 Power Systems Computation Conference (PSCC), 2016
    Co-Authors: Konstantina Christakou, Ralf Rudnik, Styliani Sarri, Jean-yves Le Boudec, Marco Pignati, Mario Paolone
    Abstract:

    The Grid explicit congestion notification control mechanism (GECN) is a broadcast-based real-time demand-response mechanism designed for primary voltage control in Active Distribution Networks (ADNs) [1,2]. An extensive set of off-line simulations has indicated that GECN is a promising candidate for deployment in the real field. However, prior to the actual deployment of the control mechanism, it is crucial to validate its performance when controlling a real grid. For this purpose we design and develop a dedicated experimental Hardware-in-the-Loop (HIL) test platform for the real-time validation of GECN. The HIL architecture consists of a Real-Time Simulator (RTS) where a real distribution feeder is modeled, together with controllable loads and the associated measurement infrastructure composed by virtual PMUs. These virtual metering devices stream data, via Ethernet, to a local Phasor Data Concentrator suitably coupled with a Discrete Kalman Filter State Estimator. The estimated network state is received by a GECN network controller. The control loop is closed by transmitting the computed broadcast control signals back to the network buses in the RTS using a micro-controller. By using this experimental setup we are able to (i) assess the performance of the whole control process in terms of voltage optimality and time latencies in a realistic setting and (ii) implement the GECN controllers into dedicated equipment that with the proper ruggedization can be readily deployed in the real field.

Ralf Rudnik - One of the best experts on this subject based on the ideXlab platform.

  • Hardware-in-the-Loop validation of the Grid explicit congestion notification mechanism for primary voltage control in Active Distribution Networks
    2016 Power Systems Computation Conference (PSCC), 2016
    Co-Authors: Konstantina Christakou, Ralf Rudnik, Styliani Sarri, Jean-yves Le Boudec, Marco Pignati, Mario Paolone
    Abstract:

    The Grid explicit congestion notification control mechanism (GECN) is a broadcast-based real-time demand-response mechanism designed for primary voltage control in Active Distribution Networks (ADNs) [1,2]. An extensive set of off-line simulations has indicated that GECN is a promising candidate for deployment in the real field. However, prior to the actual deployment of the control mechanism, it is crucial to validate its performance when controlling a real grid. For this purpose we design and develop a dedicated experimental Hardware-in-the-Loop (HIL) test platform for the real-time validation of GECN. The HIL architecture consists of a Real-Time Simulator (RTS) where a real distribution feeder is modeled, together with controllable loads and the associated measurement infrastructure composed by virtual PMUs. These virtual metering devices stream data, via Ethernet, to a local Phasor Data Concentrator suitably coupled with a Discrete Kalman Filter State Estimator. The estimated network state is received by a GECN network controller. The control loop is closed by transmitting the computed broadcast control signals back to the network buses in the RTS using a micro-controller. By using this experimental setup we are able to (i) assess the performance of the whole control process in terms of voltage optimality and time latencies in a realistic setting and (ii) implement the GECN controllers into dedicated equipment that with the proper ruggedization can be readily deployed in the real field.

  • PSCC - Hardware-in-the-Loop validation of the Grid explicit congestion notification mechanism for primary voltage control in Active Distribution Networks
    2016 Power Systems Computation Conference (PSCC), 2016
    Co-Authors: Konstantina Christakou, Ralf Rudnik, Styliani Sarri, Jean-yves Le Boudec, Marco Pignati, Mario Paolone
    Abstract:

    The Grid explicit congestion notification control mechanism (GECN) is a broadcast-based real-time demand-response mechanism designed for primary voltage control in Active Distribution Networks (ADNs) [1,2]. An extensive set of off-line simulations has indicated that GECN is a promising candidate for deployment in the real field. However, prior to the actual deployment of the control mechanism, it is crucial to validate its performance when controlling a real grid. For this purpose we design and develop a dedicated experimental Hardware-in-the-Loop (HIL) test platform for the real-time validation of GECN. The HIL architecture consists of a Real-Time Simulator (RTS) where a real distribution feeder is modeled, together with controllable loads and the associated measurement infrastructure composed by virtual PMUs. These virtual metering devices stream data, via Ethernet, to a local Phasor Data Concentrator suitably coupled with a Discrete Kalman Filter State Estimator. The estimated network state is received by a GECN network controller. The control loop is closed by transmitting the computed broadcast control signals back to the network buses in the RTS using a micro-controller. By using this experimental setup we are able to (i) assess the performance of the whole control process in terms of voltage optimality and time latencies in a realistic setting and (ii) implement the GECN controllers into dedicated equipment that with the proper ruggedization can be readily deployed in the real field.

  • PSCC - Hardware-in-the-Loop validation of the Grid explicit congestion notification mechanism for primary voltage control in Active Distribution Networks
    2016 Power Systems Computation Conference (PSCC), 2016
    Co-Authors: Konstantina Christakou, Ralf Rudnik, Styliani Sarri, Jean-yves Le Boudec, Marco Pignati, Mario Paolone
    Abstract:

    The Grid explicit congestion notification control mechanism (GECN) is a broadcast-based real-time demand-response mechanism designed for primary voltage control in Active Distribution Networks (ADNs) [1,2]. An extensive set of off-line simulations has indicated that GECN is a promising candidate for deployment in the real field. However, prior to the actual deployment of the control mechanism, it is crucial to validate its performance when controlling a real grid. For this purpose we design and develop a dedicated experimental Hardware-in-the-Loop (HIL) test platform for the real-time validation of GECN. The HIL architecture consists of a Real-Time Simulator (RTS) where a real distribution feeder is modeled, together with controllable loads and the associated measurement infrastructure composed by virtual PMUs. These virtual metering devices stream data, via Ethernet, to a local Phasor Data Concentrator suitably coupled with a Discrete Kalman Filter State Estimator. The estimated network state is received by a GECN network controller. The control loop is closed by transmitting the computed broadcast control signals back to the network buses in the RTS using a micro-controller. By using this experimental setup we are able to (i) assess the performance of the whole control process in terms of voltage optimality and time latencies in a realistic setting and (ii) implement the GECN controllers into dedicated equipment that with the proper ruggedization can be readily deployed in the real field.