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, 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. 9/16/2018 2 Smart Grid Course - Balakrishna. P
Why Smart Grid? 9/16/2018 3 Smart Grid Course - Balakrishna. P
Smart Grid Definition 9/16/2018 4 Smart Grid Course - Balakrishna. P
Smart Grid 9/16/2018 5 Smart Grid Course - Balakrishna. P
Smart Grid… 9/16/2018 6 Smart Grid Course - Balakrishna. P
Smart Grid… 9/16/2018 7 Smart Grid Course - Balakrishna. P
Smart Grid Technology Areas 9/16/2018 8 Smart Grid Course - Balakrishna. P
Smart Grid in Nutshell 9/16/2018 9 Smart Grid Course - Balakrishna. P
Asset Management Challenges 9/16/2018 10
Asset Management Future 9/16/2018 11
Integration of Smart Grid Devices for Improved Asset Management
Introduction “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 13
Traditional Protection Relay 9/16/2018 14
Advanced Protection Relay In the Era of Industrial Internet, Protection Relays are not just tripping devices. 9/16/2018 15
Advanced Transformer Management System
Transformer Operation Today… Transformer Electrical 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 Protection Relay Transformer Mechanical Characteristics • Transformer incipient fault detection using continuous monitoring of 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 M&D Devices No Convergence of Physics & Chemistry 9/16/2018 17
Transformer Relay and DGA 9/16/2018 18
A Simple Analogy TMT - Stress Report Blood Test ECG Record 2D-Echo Model Stressed Heart Asset DGA V & I Xfmr Models Reports 9/16/2018 19
Novel Integrated Method Relay M&D Convergence of Protection System and M&D System for Advanced Transformer Asset Management 9/16/2018
Proposed Methodology OLTC parameters such as moisture level, current conductive system condition, mechanism timing characteristics, contact wear and insulation condition. OLTC Monitor Overcurren Event t Impact Fault Index DGA Analyzer Bushing Monitor 9/16/2018 21
Case Study EII = 16.42/20 9/16/2018 22
Advanced Motor Management
Motor Operation Today… Motor Electrical 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 Protection Relay Motor Mechanical Characteristics • 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 M&D Devices 9/16/2018 24
Motor Mechanical Abnormalities 9/16/2018 25
Motor Current Signature Analysis 9/16/2018 26
Integrated M&D in Relay 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 27
Broken Rotor Bar Detection 9/16/2018 28
Insulation Monitoring in Relay 9/16/2018 29
Faults Detection in Relay Bearing Outer Race Fault Broken Rotor Bar Fault Eccentricity Fault Stator Fault 9/16/2018 30
Why Integrated M&D in Relay? 9/16/2018 31
Why Integrated M&D in Relay? 9/16/2018 32
Integration of Smart Grid Systems for Improved Asset Management
Motivation http://sites.ieee.org/igcc/home/ www.befutureready.com www.elp.com www.sgip.org http://www.smartgridupdate.com/distributionautomation/pdf/Ron-Pate.pdf 9/16/2018 Smart Grid Course - Balakrishna. P 34
AMI Load Data Modelling
DA-AMI System Architecture #Multi-tech Communications for DA-AMI Convergence – Available [Online], http://www.elstersolutions.com/assets/downloads/MultiTechCommunication.pdf 9/16/2018 36 Smart Grid Course - Balakrishna. P
Proposed DPR Method (hours) 9/16/2018 Smart Grid Course - Balakrishna. P 37
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. 9/16/2018 Smart Grid Course - Balakrishna. P 38
Application to DPR* ~ ~ Source A Source B Recloser A Recloser B A1 B1 FD 1 FD 2 A2 B2 Feeder A Feeder B FD 3 FD 4 A3 B3 FD FD FD FD FD 5 8 9 6 7 A4 A5 B5 B4 Tie Switch 9/16/2018 39 DPR – Distribution Power Restoration
Insights of Proposed DPR Method Requirements for proposed restoration method: Phase Identification of Meters Load Segmentation and Network mapping AMI data feedback mechanism Feasible WAN based communication link 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. 9/16/2018 Smart Grid Course - Balakrishna. P 40
Load Segmentation for DPR Distribution GIS Based System System DPR – Distribution Power Restoration https://www. arcgis .com/
Conclusion Smart Grid Course - Balakrishna. P 9/16/2018 42
Future Vision Smart Grid Course - Balakrishna. P 9/16/2018 43
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