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© 2017 Electric Power Research Institute, Inc. All rights reserved. Summary of EPRI Synchrophasor Related Activities Evangelos Farantatos Paul Myrda Mahendra Patel NASPI WG Meeting Springfield, MA September 26, 2017

Summary of EPRI Synchrophasor Related Activities...1. Streaming Data Infrastructure and Data Management 2. Data Quality Monitoring and Mitigation of Streaming Synchrophasor Measurements

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Page 1: Summary of EPRI Synchrophasor Related Activities...1. Streaming Data Infrastructure and Data Management 2. Data Quality Monitoring and Mitigation of Streaming Synchrophasor Measurements

© 2017 Electric Power Research Institute, Inc. All rights reserved.

Summary of EPRI Synchrophasor Related

ActivitiesEvangelos Farantatos

Paul MyrdaMahendra Patel

NASPI WG MeetingSpringfield, MA

September 26, 2017

Page 2: Summary of EPRI Synchrophasor Related Activities...1. Streaming Data Infrastructure and Data Management 2. Data Quality Monitoring and Mitigation of Streaming Synchrophasor Measurements

2© 2017 Electric Power Research Institute, Inc. All rights reserved.

Synchrophasor Data System & Applications

Synchrophasor Applications

1. Streaming Data Infrastructure and Data Management

2. Data Quality Monitoring and Mitigation of Streaming Synchrophasor Measurements

3. PMU Emulator

4. Synchrophasor-Based Wide Area Oscillations Damping Controller

5. Voltage Sensitive Static ZIP Load Model Using Synchrophasor Data

Page 3: Summary of EPRI Synchrophasor Related Activities...1. Streaming Data Infrastructure and Data Management 2. Data Quality Monitoring and Mitigation of Streaming Synchrophasor Measurements

3© 2017 Electric Power Research Institute, Inc. All rights reserved.

1. Streaming Data Infrastructure and Data Management

The program benefit is to provide operators and asset managers more time to mitigate the abnormal conditions leading to improved reliability. o Improve transport and management of streaming datao Increase knowledge of storage, usage, and archiving issues.

Investigating Data Transfer issues

o Coordinating with NASPnet 2.0 reviewo Supporting Grid Protection Alliance on STTP project with DOEo Purpose built protocol designed to transfer PMU data especially from

control centero ASP will be purpose built for high-volume streaming data with rich data

types and detailed associated metadata

Page 4: Summary of EPRI Synchrophasor Related Activities...1. Streaming Data Infrastructure and Data Management 2. Data Quality Monitoring and Mitigation of Streaming Synchrophasor Measurements

4© 2017 Electric Power Research Institute, Inc. All rights reserved.

2. Data Quality Monitoring and Mitigation of Streaming Synchrophasor Measurements

• Goal: Improve synchrophasor data quality by estimating missing data and replacing bad data in synchrophasor streams• Model free technique, no need for topology information or system parameters• Computationally efficient for real-time implementation• Performs well for simultaneous & consecutive missing data conditions

0 100 200 3000

200

400

600

800

Time (in seconds)

Volta

ge m

agni

tude

(KV)

0 100 200 3000

20

40

60

80

Time (in seconds)

Freq

uenc

y (H

z)

Page 5: Summary of EPRI Synchrophasor Related Activities...1. Streaming Data Infrastructure and Data Management 2. Data Quality Monitoring and Mitigation of Streaming Synchrophasor Measurements

5© 2017 Electric Power Research Institute, Inc. All rights reserved.

Streaming Synchrophasor Data Quality (SSDQ) Software

Offline Application

Synchrophasor Data

OpenPDC Server to simulate ISO PDC

IEEE C37.118 stream

SSDQ Algorithms in

OpenPDC

Real-Time Application

Algorithms are being tested with recorded synchrophasor data provided by EPRI members Next: Demos with streaming synchrophasor data

hosted by utilities/ISOs Next: Collaboration with vendors for

implementation in commercial platforms

Page 6: Summary of EPRI Synchrophasor Related Activities...1. Streaming Data Infrastructure and Data Management 2. Data Quality Monitoring and Mitigation of Streaming Synchrophasor Measurements

6© 2017 Electric Power Research Institute, Inc. All rights reserved.

Phasor values obtained from dynamic simulation tools may differ from synchrophasors measured by PMUs in the field

How a PMU works:– Analog signal sampling - A/D

Conversion– Digital filtering magnitude

attenuation & phase offset– Phasor estimation algorithm e.g. DFT window length - P & M class PMUs

PMU Emulator: interfaced with power system dynamics simulators, and produces “simulated synchrophasors” taking into account PMUs internal signal processing

PMU Emulator

C37.118

Dynamics Simulation Software (PSS/E, PSLF, TSAT etc) Synchrophasor

Application

Simulated Phasors

3. PMU Emulator

Page 7: Summary of EPRI Synchrophasor Related Activities...1. Streaming Data Infrastructure and Data Management 2. Data Quality Monitoring and Mitigation of Streaming Synchrophasor Measurements

7© 2017 Electric Power Research Institute, Inc. All rights reserved.

PMU EmulatorM-Class - 15 cycles window

0.5 1 1.5 2 2.5 3 3.5 40.8

0.9

1

1.1

1.2

Volta

ge

Mag

nitu

de (p

.u.)

Dynamic Simulator

PMU (15 cy, M class)

PMU Emulator (15 cy, M class)

0.5 1 1.5 2 2.5 3 3.5 4

Time (sec)

0

5

10

15

Volta

ge

Mag

nitu

de E

rror (

%)

Dynamic Simulator

PMU Emulator (15 cy, M class)

Proof-of-concept software

Hardware-In-the-Loop benchmarking (RTDS & hardware PMUs) Use cases: Model validation, synchrophasor applications offline testing (especially

control applications), operator training, etc Vendor PMU library – NASPI may facilitate? Next: Collaboration with vendors for implementation in commercial platforms

Page 8: Summary of EPRI Synchrophasor Related Activities...1. Streaming Data Infrastructure and Data Management 2. Data Quality Monitoring and Mitigation of Streaming Synchrophasor Measurements

8© 2017 Electric Power Research Institute, Inc. All rights reserved.

4. Synchrophasor-Based Wide Area Oscillations Damping Controller

• Improved Damping of Target Inter-area/Intra-area Oscillations Mode• Application of Synchrophasor Technology in Closed Loop Wide Area Control

WADC

PMUPMUf13

f5

+ —

0 2 4 6 8 10 12 14 16 18 20-8

-6

-4

-2

0

2

4

6x 10

-3

t(s)

without controlwith control

No controlWADC control

Page 9: Summary of EPRI Synchrophasor Related Activities...1. Streaming Data Infrastructure and Data Management 2. Data Quality Monitoring and Mitigation of Streaming Synchrophasor Measurements

9© 2017 Electric Power Research Institute, Inc. All rights reserved.

NYPA CSC

NYPA Fraser SVC

Wide Area Oscillations Damping Controller WADC via additional input to generator excitation system or FACTS/HVDC controller Adaptive controller

– Measurement-derived transfer function model Ongoing case studies with NYPA and TERNA Hardware-In-the-Loop implementation

– Measurement delays– Missing/Bad data

Control Center

CURENT/UTK Hardware Testbed

PSS/E User Defined Model

Page 10: Summary of EPRI Synchrophasor Related Activities...1. Streaming Data Infrastructure and Data Management 2. Data Quality Monitoring and Mitigation of Streaming Synchrophasor Measurements

10© 2017 Electric Power Research Institute, Inc. All rights reserved.

5. Voltage Sensitive Static ZIP Load Model Using Synchrophasor Data

Source Sink

Source Sink

Local Area Load

V

Pl & Ql

P & Q

Develop Analytical Tools to Determine Voltage Sensitivity of Local Loads– Use Synchrophasor data for Bus voltage & Load at the critical bus– Filter out random noise & bad data– Determine appropriate Measurement Window required

Represent Voltage Sensitivity of Load as a ZIP Load ModelPZIP=P0 [A (V/V0)2 + B (V/V0) + C]QZIP=Q0 [D (V/V0)2 + E (V/V0) + F]

Page 11: Summary of EPRI Synchrophasor Related Activities...1. Streaming Data Infrastructure and Data Management 2. Data Quality Monitoring and Mitigation of Streaming Synchrophasor Measurements

11© 2017 Electric Power Research Institute, Inc. All rights reserved.

Together…Shaping the Future of Electricity