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PMU-Based Real-Time Damping Control System Software and Hardware Architecture Synthesis and...

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PMU-based Real-Time Damping Control System Software and Hardware Architecture Synthesis and Evaluation Eldrich Rebello*, Dr. Luigi Vanfretti*~ and M. Shoaib Almas* *Electric Power Systems Division, KTH Royal Institute of Technology, Stockholm, Sweden ~R&D Department, Statnett SF, Oslo, Norway, Email: [email protected] · Low-frequency, electromechanically induced, interarea oscillations are of concern in the continued stability of interconnected power systems. · Wide Area Monitoring, Protection and Control (WAMPAC) systems based on wide-area measurements such as synchrophasor (C37.118) data can be exploited to address the inter-area oscillation problem. · This work develops a hardware prototype of a synchrophasor-based oscillation damping control system. · A Compact Reconfigurable Input Output (cRIO) controller from National Instruments is used to implement the realtime hardware prototype of wide-area oscillation damper. Abstract Data-Flow Path for Developed Hardware Prototype of Damping Control System Real-Time Hardware-in-the-Loop Setup for Performance Assessment of Prototype Challenges and Conclusion WAPOD Prototype Architecture Refinement 2: Opal-RT 3A: Amplifier 3B: PMUs 4 : P D C 6 : N I- c R I O ( W A P O D ) 1: MATLAB model development and Opal- RT software interface 6: BabelFish receives PDC streams and unwraps it to provide raw phasor, analog, digitals to NI-cRIO Power system model being loaded in Opal-RT for real-time execution PDC stream being received by BabelFish Raw values of phasor, analog, digital being sent to NI-cRIO based WAPOD Three stage architecture refinement process. Distributing tasks among host computer, RT-Layer of NI-cRIO and FPGA- Layer of NI-cRIO Iterative architecture development is based on 1) Initial Investigation 2)Requirements Definition 3) Architecture Design 4)Coding and Implementation 5) Experimental Testing to validate requirements Challenges · Analogue signal magnitude limits · Different Data/Loop rates : PMU data rate, RT Simulation step size, FPGA Execution time · FPGA Resource Limitations : Finite FPGA resources, code must be optimised · FPGA function limitations : Functions like multiplication, Trigonometric consume large amount of FPGA resources · PMU Data extraction performed on Remote Computer: Developed controller not Stand-Alone · Other Challenges: Signal to Noise Ratio, Communication network delay and scaling issues Conclusion · A hardware prototype of a real-time power oscillation damping control system was developed and tested. · The developed prototype uses a real-time implementation of a wide-area control system. · The success of the tests performed indicates that PMU-based wide area controllers can be exploited for multiple control applications in power system control and monitoring. Final architecture as implemented in the NI- cRIO (model 9081) · Klein-Rogers-Kundur Power System model executed in real-time using eMEGASIM real-time simulator from OPAL-RT. · Voltage and current signals were fed to the commercial PMUs. · Synchrophasors from PMUs were received inside NI-cRIO to execute phasor-POD algorithm to generate damping signals. Prototype using NI-cRIO (9081) RT-Module 1.06 GHz dual-core Intel Celeron processor, 16 GB nonvolatile storage, 2 GB DDR3 800 MHz RAM FPGA Module FPGA type : Spartan-6 LX75 Number of flip-flops: 93,296 Number of 6-input LUTs: 46,648 Number of DSP: 48As 1 slices (18 x 18 multipliers) ....................... 132 Embedded block RAM ................... 3,096 kbits Ethernet Port Connected to the local network and communicating with remote VI (Host VI) using network published shared variables Analog Output Module (Damping Signal Output) 16 channels, 25 kS/s per channel simultaneous analog output, ±10 V output range , 16-bit resolution. Each channel can update at up to 25 kS/s because each channel has its own digital -to- analog converter
Transcript

PMU-based Real-Time Damping Control System Software and Hardware Architecture Synthesis and Evaluation

Eldrich Rebello*, Dr. Luigi Vanfretti*~ and M. Shoaib Almas**Electric Power Systems Division, KTH Royal Institute of Technology, Stockholm, Sweden

~R&D Department, Statnett SF, Oslo, Norway, Email: [email protected]

· Low-frequency, electromechanically induced, interarea oscillations are of concern in the continued stability of interconnected power systems.

· Wide Area Monitoring, Protection and Control (WAMPAC) systems based on wide-area measurements such as synchrophasor (C37.118) data can be exploited to address the inter-area oscillation problem.

· This work develops a hardware prototype of a synchrophasor-based oscillation damping control system. · A Compact Reconfigurable Input Output (cRIO) controller from National Instruments is used to implement the realtime hardware prototype of wide-area oscillation damper.

Abstract

Data-Flow Path for Developed Hardware Prototype of Damping Control System

Real-Time Hardware-in-the-Loop Setup for Performance Assessment of Prototype Challenges and Conclusion

WAPOD Prototype Architecture Refinement

2: Opal-RT

3A: Amplifier

3B: PMUs

4: PDC6: NI-cRIO (WAPOD)

1: MATLAB model development and Opal-RT software interface

6: BabelFish receives PDC streams and unwraps it to

provide raw phasor, analog, digitals to NI-cRIO

Power system model being loaded in Opal-RT for real-time execution

PDC stream being received by BabelFish

Raw values of phasor, analog, digital being sent to NI-cRIO based WAPOD

Three stage architecture refinement process. Distributing tasks among host computer, RT-Layer of NI-cRIO and FPGA-Layer of NI-cRIO

Iterative architecture development is based on 1) Initial Investigation2)Requirements Definition3) Architecture Design4)Coding and Implementation5) Experimental Testing to validate requirements

Challenges· Analogue signal magnitude limits· Different Data/Loop rates : PMU data rate, RT Simulation step size, FPGA Execution time

· FPGA Resource Limitations : Finite FPGA resources, code must be optimised

· FPGA function limitations : Functions like multiplication, Trigonometric consume large amount of FPGA resources

· PMU Data extraction performed on Remote Computer: Developed controller not Stand-Alone

· Other Challenges: Signal to Noise Ratio, Communication network delay and scaling issues

Conclusion· A hardware prototype of a real-time power oscillation damping control system was developed and tested.

· The developed prototype uses a real-time implementation of a wide-area control system.

· The success of the tests performed indicates that PMU-based wide area controllers can be exploited for multiple control applications in power system control and monitoring.

Final architecture as implemented in the NI-cRIO (model 9081)

· Klein-Rogers-Kundur Power System model executed in real-time using eMEGASIM real-time simulator from OPAL-RT.

· Voltage and current signals were fed to the commercial PMUs.

· Synchrophasors from PMUs were received inside NI-cRIO to execute phasor-POD algorithm to generate damping signals.

Prot

otyp

e us

ing

NI-c

RIO

(908

1) RT-Module1.06 GHz dual-core Intel Celeron processor, 16 GB nonvolatile storage, 2 GB DDR3 800 MHz RAM

FPGA ModuleFPGA type : Spartan-6 LX75Number of flip-flops: 93,296Number of 6-input LUTs: 46,648Number of DSP: 48As 1 slices(18 x 18 multipliers) ....................... 132Embedded block RAM ................... 3,096 kbits

Ethernet PortConnected to the local network and communicating

with remote VI (Host VI) using network published shared variables

Analog Output Module (Damping Signal Output)16 channels, 25 kS/s per channel simultaneous analog output, ±10 V output range , 16-bit

resolution. Each channel can update at up to 25 kS/s because each channel has its own digital -to-analog converter

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