Smart Grid Infrastructure Asset Management Dr. Balakrishna - - PowerPoint PPT Presentation

▶
smart grid infrastructure asset
SMART_READER_LITE
LIVE PREVIEW

Smart Grid Infrastructure Asset Management Dr. Balakrishna - - PowerPoint PPT Presentation

Jul 05, 2023 221 likes •671 views

Smart Grid Infrastructure Asset Management Dr. Balakrishna Pamulaparthy Assistant Professor School of Electrical Sciences IIT Bhubaneshwar About Myself Dr. Balakrishna Pamulaparthy, PhD Assistant Professor, School of Electrical Sciences,

slide-1
SLIDE 1

Smart Grid Infrastructure – Asset Management

  • Dr. Balakrishna Pamulaparthy

Assistant Professor School of Electrical Sciences IIT Bhubaneshwar

slide-2
SLIDE 2

9/16/2018 2

About Myself

Smart Grid Course - Balakrishna. P

  • Dr. Balakrishna Pamulaparthy, PhD

Assistant Professor, School of Electrical Sciences, IIT Bhubaneswar

  • M. Tech and PhD from Indian Institute of Technology, Madras.
  • 10 Years of Industrial Experience at GENERAL ELECTRIC in Design,

Engineering, Application, Validation and R&D in the areas of Smart Grid.

  • Publications: 17 Patents, 6 Journals and 16 Conferences.
  • Recipient of Inventor of the Year Award in 2010, GE Silver Award for

10+ Patents, Ramanujan Young Achiever Award in 2011, Imagination and Courage Award in 2012 and Empower and Inspire Global Award in 2015.

  • Research Interests: Smart Grid, Substation/Distribution Automation,

Grid Monitoring & Data Analytics, Asset Management, DMS, SCADA and AMI.

slide-3
SLIDE 3

9/16/2018 3

Why Smart Grid?

Smart Grid Course - Balakrishna. P

slide-4
SLIDE 4

9/16/2018 4

Smart Grid Definition

Smart Grid Course - Balakrishna. P

slide-5
SLIDE 5

9/16/2018 5

Smart Grid

Smart Grid Course - Balakrishna. P

slide-6
SLIDE 6

9/16/2018 6

Smart Grid…

Smart Grid Course - Balakrishna. P

slide-7
SLIDE 7

9/16/2018 7

Smart Grid…

Smart Grid Course - Balakrishna. P

slide-8
SLIDE 8

9/16/2018 8

Smart Grid Technology Areas

Smart Grid Course - Balakrishna. P

slide-9
SLIDE 9

9/16/2018 9

Smart Grid in Nutshell

Smart Grid Course - Balakrishna. P

slide-10
SLIDE 10

Asset Management Challenges

10 9/16/2018

slide-11
SLIDE 11

Asset Management Future

11 9/16/2018

slide-12
SLIDE 12

Integration of Smart Grid Devices for Improved Asset Management

slide-13
SLIDE 13

Introduction

13

 “New indirect benefits can result from the smart grid devices and systems, when properly integrated with additional smart grid capabilities” – European Commission Research Report, 2012.  “Increased asset data and intelligence should enable advanced control and improved operator understanding” – Power Grid Corporation of India Ltd, Smart Grid Report,2015.

9/16/2018

slide-14
SLIDE 14

Traditional Protection Relay

14 9/16/2018

slide-15
SLIDE 15

Advanced Protection Relay

15

In the Era of Industrial Internet, Protection Relays are not just tripping devices.

9/16/2018

slide-16
SLIDE 16

Advanced Transformer Management System

slide-17
SLIDE 17

Transformer Operation Today…

17

Transformer Electrical Characteristics Transformer Mechanical Characteristics

  • Continuous monitoring of electrical parameters (V, I. P, Q etc.)
  • Internal or external fault detection and electrical data collection
  • Software for fault analysis with electrical data - transient record

and fault report

  • Transformer incipient fault detection using continuous monitoring
  • f single or multiple gas parameters and models
  • Transformer component fault detection using OLTC, Bushing

monitoring devices

  • Software for Transformer condition based monitoring and fleet

management No Convergence of Physics & Chemistry Protection Relay M&D Devices

9/16/2018

slide-18
SLIDE 18

Transformer Relay and DGA

18 9/16/2018

slide-19
SLIDE 19

A Simple Analogy

19

Stressed Heart Blood Test ECG Record 2D-Echo Model TMT - Stress Report

Asset DGA V & I Xfmr Models Reports

9/16/2018

slide-20
SLIDE 20

Novel Integrated Method

Relay

M&D

Convergence of Protection System and M&D System for Advanced Transformer Asset Management

9/16/2018

slide-21
SLIDE 21

Proposed Methodology

21

Bushing Monitor DGA Analyzer

OLTC parameters such as moisture level, current conductive system condition, mechanism timing characteristics, contact wear and insulation condition.

OLTC Monitor

Overcurren t Fault

Event Impact Index

9/16/2018

slide-22
SLIDE 22

Case Study

22

EII = 16.42/20

9/16/2018

slide-23
SLIDE 23

Advanced Motor Management

slide-24
SLIDE 24

Motor Operation Today…

24

Motor Electrical Characteristics Motor Mechanical Characteristics

  • Continuous monitoring of motor parameters (V, I. P, Q etc.)
  • Internal or external fault detection and electrical data collection
  • Software for fault analysis with electrical data - transient record

and fault report

  • Motor incipient fault detection using offline monitoring of

insulation and impedance parameters

  • Motor sub-system fault detection using Vibration monitoring or

ESA devices (online or offline)

  • Software for motor condition based monitoring and fleet

management Protection Relay M&D Devices

9/16/2018

slide-25
SLIDE 25

Motor Mechanical Abnormalities

25 9/16/2018

slide-26
SLIDE 26

Motor Current Signature Analysis

26 9/16/2018

slide-27
SLIDE 27

Integrated M&D in Relay

27

Why converge motor M&D in a P&C IED? With a motor protection IED installed on every critical motor, there are huge cost savings achieved by eliminating the need for:

  • Additional devices to install and maintain
  • Extra sensors or wiring
  • New communication interfaces to SCADA or DCS systems
  • Contact input/output wiring for alarm and control.

9/16/2018

slide-28
SLIDE 28

Broken Rotor Bar Detection

28 9/16/2018

slide-29
SLIDE 29

Insulation Monitoring in Relay

29 9/16/2018

slide-30
SLIDE 30

Faults Detection in Relay

30

Bearing Outer Race Fault Broken Rotor Bar Fault Eccentricity Fault Stator Fault

9/16/2018

slide-31
SLIDE 31

Why Integrated M&D in Relay?

31 9/16/2018

slide-32
SLIDE 32

Why Integrated M&D in Relay?

32 9/16/2018

slide-33
SLIDE 33

Integration of Smart Grid Systems for Improved Asset Management

slide-34
SLIDE 34

Motivation

9/16/2018 34

http://sites.ieee.org/igcc/home/ www.befutureready.com www.elp.com www.sgip.org http://www.smartgridupdate.com/distributionautomation/pdf/Ron-Pate.pdf

Smart Grid Course - Balakrishna. P

slide-35
SLIDE 35

AMI Load Data Modelling

slide-36
SLIDE 36

DA-AMI System Architecture

9/16/2018 36 #Multi-tech Communications for DA-AMI Convergence – Available [Online], http://www.elstersolutions.com/assets/downloads/MultiTechCommunication.pdf Smart Grid Course - Balakrishna. P

slide-37
SLIDE 37

Proposed DPR Method

9/16/2018 37 (hours) Smart Grid Course - Balakrishna. P

slide-38
SLIDE 38

9/16/2018 38

Distribution Power Restoration

Objectives

  • Restore as many loads as possible considering priority of

loads.

  • Do not violate operational and engineering constraints.
  • Maintain load and phase balance within the limits.
  • Compute in a short interval of time.
  • Maintain radial network structure after reconfiguration.
  • Any of the network components should not be over-loaded.

Constraints

  • Proper load allocation of a feeder.
  • Maintain voltage values within the regulatory limits.
  • Priority loads must be restored without compromise.
  • Address security and reliability.
  • Consider distributed generation.
  • Meet load dynamics.

*Inseok Hwang et al, “A Survey of Fault Detection, Isolation and Reconfiguration methods”, IEEE Transactions on Control Systems Technology, Vol. 18, No. 3, pp – 636-653, May 2010.

Smart Grid Course - Balakrishna. P

slide-39
SLIDE 39

Application to DPR*

39

~ ~

Tie Switch Feeder A Feeder B Source A Source B Recloser A Recloser B A1 A2 A3 A4 A5 B5 B4 B3 B2 B1

FD 1 FD 2 FD 4 FD 6 FD 7 FD 3 FD 5 FD 8 FD 9

DPR – Distribution Power Restoration 9/16/2018

slide-40
SLIDE 40

9/16/2018 40

Insights of Proposed DPR Method

  • AMI system consists of thousands of smart meters/sensors installed across each of

the low voltage distribution systems connected to various 11kV feeders through 11kV/400V distribution transformers.

  • It looks illogical to route or send each meter data as feedback to DA system on

communication media.

  • There should be some smart logic in place in order to send only required meter’s

data selectively & strategically as feedback based on DA application need.

Requirements for proposed restoration method:

  • Phase Identification of Meters
  • Load Segmentation and Network mapping
  • AMI data feedback mechanism
  • Feasible WAN based communication link

Smart Grid Course - Balakrishna. P

slide-41
SLIDE 41

https://www.arcgis.com/

Load Segmentation for DPR

Distribution System GIS Based System

DPR – Distribution Power Restoration

slide-42
SLIDE 42

9/16/2018 42

Conclusion

Smart Grid Course - Balakrishna. P

slide-43
SLIDE 43

9/16/2018 43

Future Vision

Smart Grid Course - Balakrishna. P