Frontiers of Synchrophasor Solutions Deployment Vijay Sukhavasi , - - PowerPoint PPT Presentation

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Frontiers of Synchrophasor Solutions Deployment Vijay Sukhavasi , - - PowerPoint PPT Presentation

Frontiers of Synchrophasor Solutions Deployment Vijay Sukhavasi , Manu Parashar, Anil Jampala March 30, 2017 Confidential. Not to be copied, distributed, or reproduced without prior approval. Key Needs With over 40 WAMS solutions deployed


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  • Confidential. Not to be copied, distributed, or reproduced without prior approval.

Frontiers of Synchrophasor Solutions Deployment

March 30, 2017

Vijay Sukhavasi , Manu Parashar, Anil Jampala

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  • Confidential. Not to be copied, distributed, or reproduced without prior

approval.

Key Needs

March 30, 2017 Presentation Title 2

With over 40 WAMS solutions deployed worldwide, there are some common needs identified for the next-generation WAMS:

  • Data Quality: Ability to detect and repair corrupt data or data gaps.
  • Operator Guidance: Need to provide corrective actions on synchrophasor-based

monitoring.

  • Operator Training: Need for a training environment to familiarize operators/dispatchers on

synchrophasor apps.

  • Engineering Applications: Provide offline analysis tools for operating engineers and

planners, to effectively support real-time operations.

  • Scalability: Next-gen architectures will need to handle 1000s PMUs (e.g. URTDSM, India

& ONS, Brazil)

  • Extensibility: Need to support new, not yet thought of applications as well as 3rd party

apps.

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  • Confidential. Not to be copied, distributed, or reproduced without prior

approval.

Data Quality

March 30, 2017 Dynamic DTS 3

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  • Confidential. Not to be copied, distributed, or reproduced without prior

approval.

WAMS System Architecture at PG&E

Courtesy: Vahid Madani, PG&E

Architecture Supports both Redundant and Duplicate Data

End-to-end redundant architecture to minimize data loss:

  • Redundant PMUs, PDCs
  • Duplicate data streams.
  • HA ‘Active-Active’ WAMS App

Servers.

  • EMS Redundancy.
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  • Confidential. Not to be copied, distributed, or reproduced without prior

approval.

  • Benefits
  • Back up to existing EMS SE (provides

an alternate layer of visibility).

  • PMU data validation (detect bad data)

including topology errors.

  • Correct for problematic CT and PT

errors.

  • Concepts
  • State estimator driven purely with PMUs

(i.e. “state measurement”).

  • Operates at the sub-second cycle

(tracking the PMU data).

5 10 15 20 25 30 35 40 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 Voltage Angle Voltage Angle Estimated

30 degree bias

PMU-based State Estimation (Linear State Estimator)

LSE can detect and correct for PMU data errors.

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  • Confidential. Not to be copied, distributed, or reproduced without prior

approval.

Study LSE : Measurement Data Cleansing

Raw voltage angle measurement with 10 (deg) bias Correctly estimated voltage angle by LSE

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  • Confidential. Not to be copied, distributed, or reproduced without prior

approval.

Operator Guidance

March 30, 2017 Dynamic DTS 7

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Angle-based Grid Management

Real-time applications for the Control Room

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  • Confidential. Not to be copied, distributed, or reproduced without prior

approval.

Dynamic/Static Limit (DSA Tools) Correct (NETSENS) Predict

(LODF)

Angle-based Grid Management

Holistic Approach to Angle-based Grid Management

Angle Monitoring

Transforming WAMS angle-based MONITORING into OPERATOR GUIDANCE

Observe ● Analyze ● Predict ● Correct KEY BENEFITS

  • Independent of State Estimation function (measurement & topology based approach).
  • Capable of making recommendations for corrective control actions.

δ

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  • Confidential. Not to be copied, distributed, or reproduced without prior

approval. 10

CONCEPT USED

  • Topology-based Network Sensitivities (similar to LODF)

Realtime Post-CTG Angle Difference Prediction for a Source-Sink Pair based on present PMU measurements & Topology

Post-CTG Angle Difference & Post-CTG % Loading Angle Limits Dynamically Updated based on DSA-VSAT

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  • Confidential. Not to be copied, distributed, or reproduced without prior

approval. 11

Realtime Post-CTG Angle Difference Correction for a Source-Sink Pair based on present PMU measurements & Topology CONCEPT USED

  • Topology-based Network Sensitivities (similar to LODF)

Post-CTG Angle Difference Control Sensitivities (Relative)

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Enhanced Blackstart & Restoration Management

Real-time applications for the Control Room

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  • Confidential. Not to be copied, distributed, or reproduced without prior

approval. 13

Realtime Detection & Identification of the Location of Islanding Events KEY BENEFIT

  • Gives a good visibility to the operator in identifying the cause of island formation

Cause & Location of Islanding Event

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  • Confidential. Not to be copied, distributed, or reproduced without prior

approval. 14

Realtime Monitoring of the Interfaces of each Island & the Conditions needed for Resynchronization KEY BENEFIT

  • Gives a good visibility to the operator regarding the paths available for merging islands

Interface (Synchronization Path) between Two Islands Conditions for Island Resynchronization

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  • Confidential. Not to be copied, distributed, or reproduced without prior

approval. 15

Realtime Detection & Identification of the Location of Island Resynchronization Events KEY BENEFIT

  • Gives a good visibility to the operator in identifying the restoration action taken

Cause & Location of Island Resynchronization

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SLIDE 16
  • Confidential. Not to be copied, distributed, or reproduced without prior

approval.

Hybrid (WAMS & EMS) Training Simulator

March 30, 2017 Presentation Title 16

Integration of Dispatcher Training Simulator (DTS) and a Transient Simulation Engine (PowerTech TSAT).

EMS Platform

Integrated Dispatcher Training System:

  • Real-time simulator based
  • n Powertech TSAT
  • Simulated data is fed

directly into PP as C37.118 streams

  • Data is also downsampled

and sent to the EMS & DSA Tools

  • EMS integrated with

PhasorPoint and DSA tools

PhasorPoint Training Server DSA tools Central PDC Application Services Data Services Load Flow Simulation Dispatch Control ETV Engine

Dynamic Grid Simulator Control Room Training Environment

Operator in Training

Downsampling alarms Simulated C37.118 Data

Powertech TSAT Environment

Shaping the next-generation DTS/OTS

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approval.

Example: Islanding Condition Scenario using DDTS

March 30, 2017 Presentation Title 17

Admin DTS Controls (Breaker Opening) Operator Visualization

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  • Confidential. Not to be copied, distributed, or reproduced without prior

approval.

Engineering Applications

March 30, 2017 Dynamic DTS 18

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  • Confidential. Not to be copied, distributed, or reproduced without prior

approval.

Post-Event Analysis: Overview of May 30, 2013 Event (courtesy PG&E)

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2000MW Gen drop DC Intertie DC Intertie restarted Series Capacitors bypassed Shunt Capacitors removed Frequency recovered Series and Shunt Capacitors inserted

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  • Confidential. Not to be copied, distributed, or reproduced without prior

approval.

  • MODEL VALIDATION

− Power Plant Model Validation − NERC Compliance (MOD 26, 27)

courtesy: BPA

Dynamic Model Validation – Forced Simulation

MEASUREMEN T Simulation VERIFICATION

Comparing measured and simulated results Oscillations (FRQ, DAMP, MODE SHAPE, SOURCES) Phasor Measurements

CALIBRATION

Tuning generator dynamic model parameters

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  • Confidential. Not to be copied, distributed, or reproduced without prior

approval.

Power Plant Model Validation & Calibration

Simulation Reconstruction PMU Observation

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  • Confidential. Not to be copied, distributed, or reproduced without prior

approval. 22

COMPLIANCE Monitoring: BAL003 Frequency Response

(May 30th 2013 PDCI Event Analysis)

Min Frequency: 59.70Hz Estimated Beta: 1230.53 MW/0.1Hz

Courtesy Vahid Madani, PG&E

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  • Confidential. Not to be copied, distributed, or reproduced without prior

approval.

Scalability and Extensibility

March 30, 2017 Dynamic DTS 23

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  • Confidential. Not to be copied, distributed, or reproduced without prior

approval.

Central vs. Distributed Architecture

PDC PMU PMU PMU RT/OL Apps Server

TO/TSO #N

Ground WAMS - CENTRAL Predix Cloud WAMS - DISTRIBUTED

PDC PMU PMU PMU PDC PMU PMU RT/OL Apps Server PDC

Transm Owner / System Operator

Support PDC

Other TO/TSO DNO Vendor

Central PDC PMU PMU PMU RT Apps Server

TO/TSO #1

PDC PMU

DNO #M

PMU PMU PDC PMU PMU

Industrial & DG

Authorised user

PDC PMU

DNO #1

PMU PMU

Data Analytics Visualisation

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SLIDE 25
  • Confidential. Not to be copied, distributed, or reproduced without prior

approval.

Modular & Distributed WAMS Infrastructure

Distributed Architecture

Distributed WAMS Infrastructure

  • Phasor Data Concentrator
  • Application Server
  • Historian
  • Storage
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  • Confidential. Not to be copied, distributed, or reproduced without prior

approval.

WAMS Cloud-based Visualization

March 30, 2017 Presentation Title 26

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