SAIEE Smart Grid Conference 2016: “Accelerated Environmental Stress Testing (AEST) for Smart Electricity Meters” By Shawn Papi Eskom Research, Testing.

Slides:



Advertisements
Similar presentations
DISPUTES & INVESTIGATIONS ECONOMICS FINANCIAL ADVISORY MANAGEMENT CONSULTING Early Lessons Learned from DOE-EPRI Framework Experience Melissa Chan MA DPU.
Advertisements

Introduction Build and impact metric data provided by the SGIG recipients convey the type and extent of technology deployment, as well as its effect on.
0 © 2011 Silver Spring Networks. All rights reserved. Building the Smart Grid.
Pearson Education Ltd. Naki Kouyioumtzis
© 2006 San Diego Gas & Electric Company. All copyright and trademark rights reserved. Microgrid – A Smart Grid Alternative Service Delivery Model? Thomas.
Vendor Briefing May 26, 2006 AMI Overview & Communications TCM.
SmartGridCity™: A blueprint for a connected, intelligent grid community Presented to the Utah Public Service Commission May 13, 2009.
Applications of Wireless Sensor Networks in Smart Grid Presented by Zhongming Zheng.
ISO 9001 : 2000.
SAE AS9100 Quality Systems - Aerospace Model for Quality Assurance
1 Highly Accelerated Life Test (HALT) Wayne Bradley 8 April 2014.
Overview Lesson 10,11 - Software Quality Assurance
SmartMeter Program Overview Jana Corey Director, Energy Information Network Pacific Gas & Electric Company.
This teaching material has been made freely available by the KEMRI-Wellcome Trust (Kilifi, Kenya). You can freely download, adapt, and distribute this.
1111Challenges for reliable offshore transformersTRANSFORMING YOUR NEEDS INTO SOLUTIONS Challenges for Reliable Offshore Transformers Dr. Jan.
ISO 9000 Certification ISO 9001 and ISO
Jeju, 13 – 16 May 2013Standards for Shared ICT HIS – Smart Grid Karen Bartleson, President, IEEE Standards Association Document No: GSC17-PLEN-72 Source:
2015 World Forum on Energy Regulation May 25, 2015
Testing: Chapter 13 "You make it, I’ll break it".
QUALITY MANAGEMENT SYSTEM ACCORDING TO ISO
ACTION PROPOSAL FOR FLYWHEEL ENERGY TECHNOLOGY Enhance future grid reliability, interoperability, & extreme event protection In 20 years, the flywheel.
© 2010 Plexent – All rights reserved. 1 Change –The addition, modification or removal of approved, supported or baselined CIs Request for Change –Record.
Rocky Mountain RAPS Process Validation Presentation 6/7/06 By Clay Anselmo.
Future of Smart Metering Kansas Renewable Energy & Energy Efficiency Conference September 26, 2007.
AFCI Reaction to Utility Events. CenterPoint Energy 35 KV Distribution Capacitor Bank – Switched through an automated system.
Electronic Controls and Communications. The Global Challenge Of Strategic Standardization Management Alec McMillan Rockwell Automation Director, Global.
Module 5: Assuring the Quality of HIV Rapid Testing
Common Information Model and EPRI Smart Grid Research
The Smart Grid Enabling Energy Efficiency and Demand Response Clark W
Prepared By :.  Introduction  Techniques Used  Case Study  Advantages  Application  Conclusion OUTLINE.
Service Transition & Planning Service Validation & Testing
FERC’s Role in Demand Response David Kathan ABA Teleconference December 14, 2005.
© 2011 Underwriters Laboratories Inc. All rights reserved. This document may not be reproduced or distributed without authorization. ASSET Safety Management.
An Overview of the Smart Grid David K. Owens Chair, AABE Legislative Issues and Public Policy Committee AABE Smart Grid Working Group Webinar September.
Samordningsrådet med kunskapsplattform för smarta elnät Smart Grid and Smart Metering - Swedish Experiences Karin Widegren, Director Swedish Coordination.
Maureen Trumble Jack Hobbick AMI – Providing the Smart Grid Foundation.
Important informations
J1879 Robustness Validation Hand Book A Joint SAE, ZVEI, JSAE, AEC Automotive Electronics Robustness Validation Plan The current qualification and verification.
Paul Hardiman and Rob Brown SMMT IF Planning and organising an audit.
D2-01_08 Approaches to Smart Grid Communications Networks in Japanese Electric Power Companies Naomasa Takahashi Kyushu Electric Power Co., Inc. Japan.
QUALITY MANAGEMENT STATEMENT
Tier 2 Power Supply Planning Workshop Advanced AMI Benefits Overview.
Automated Capacitor Control Program at TXU Electric Delivery SWEDE May 1, 2006.
Demand Response: What It Is and Why It’s Important 2007 APPA National Conference San Antonio, Texas June 26, :00 a.m. to Noon Glenn M. Wilson Director.
Consumer Education Challenge 1000 kwh x rate/kwh = $ Billed Amount When asked about energy usage, the customer receives this…… But really understands this…………
Fault Tolerance Benchmarking. 2 Owerview What is Benchmarking? What is Dependability? What is Dependability Benchmarking? What is the relation between.
Retail Transaction Processing Year End Review and Recent Issues RMS January 2007.
Utility Engineers, PC.  Generation  Transmission  Distribution.
COSTING AND THE VALUE CHAIN CHAPTER 18 PAGE# 794 Faisal
Reliability Applied to KM3NET
The Second Annual Medical Device Regulatory, Reimbursement and Compliance Congress Presented by J. Glenn George Thursday, March 29, 2007 Day II – Track.
#WEEK 3: RELIABILITY-TEST DOCUMENTATION AND OTHER ITEMS NEEDED FOR RELIABILITY TESTING 2 August 2006.
Metering Americas April 24, 2006 Advanced Metering.
ISO 9001:2015 Subject: Quality Management System Clause 8 - Operation
© Pharmaceutical Consultancy Services, All rights reserved. Quality System(s) Jaap Koster.
Visit us at E mail: Tele:
LECTURE 5 Nangwonvuma M/ Byansi D. Components, interfaces and integration Infrastructure, Middleware and Platforms Techniques – Data warehouses, extending.
Failure Modes, Effects and Criticality Analysis
Presentation Agenda AMI Drivers and background in South Africa
CORP3397 Clarification Meeting Technical Evaluation of Meters Enquiry Date: 5 February 2016 Presenter: Mohamed Omar.
Understanding the Integrated Resource Plan (IRP 2010 Rev 2)
CURRENT ® Smart Grid Overview July SMART GRID = ENHANCED FUNCTIONALITY Smart Grid delivers more than advanced metering infrastructures: -safe.
Module 13 Reliability 1. Key Dimensions of Quality Performance – primary operating characteristics Features – “bells and whistles” Reliability – probability.
Calibration Web Innovations 2017.
Bluetooth Based Smart Sensor Network
Project: IEEE P Working Group for Wireless Personal Area Networks (WPANs) Submission Title: [Smart Grid Overview] Date Submitted: [13.
J1879 Robustness Validation Hand Book A Joint SAE, ZVEI, JSAE, AEC Automotive Electronics Robustness Validation Plan Robustness Diagram Trends and Challenges.
RELIABILITY Reliability is -
Smart Prepayment Solutions for PV/SSEG
Presentation transcript:

SAIEE Smart Grid Conference 2016: “Accelerated Environmental Stress Testing (AEST) for Smart Electricity Meters” By Shawn Papi Eskom Research, Testing & Development 23 February 2016

BACKGROUND AMI HEAD END SYSTEM SMART METER Smart meters are a fairly new technology, there is little understanding of their long term performance Premature/unprecedented failure will have dire impact on business processes that rely on smart meter data Meter replacement costs exceed price of meter, includes labour, storage, re-testing, etc.

BACKGROUND Unreliable smart will compromise customer safety, tarnish utility reputation In this context AEST (“Eskom ALT”) becomes invaluable, as it provides insight into failure modes and associated risk prior to mass deployment

WHAT PREPAYMENT METERING HAS TAUGHT US…THE ”Electricity For All” PROGRAM Meter reliability was key factor given the scale of the rollout, over 1 million meters at a rate of per annum! The technology was still in its infancy, Eskom had no knowledge of long term performance While the meters conformed to SABS and IEC standards, they exhibited unacceptable failure rates in the field! This drove the development of AEST for prepayment meters, providing a means for detecting design errors, low quality components and inadequate manufacturing processes After a number of AESTs, the reliability of prepayment meters improved, substantially, Eskom now has over 4 million of these meters installed South Africa is now a global leader in prepayment metering technology

OVERVIEW OF THE AEST PROCEDURE Meters are designed to operate reliably for lengthy periods (10-15 years), making long term performance testing under normal conditions impractical AEST shortens the testing time required to stimulate the occurrence of failure modes the meter would experience under normal field conditions (It is a form of overstress acceleration) Contra to traditional accelerated life testing methods, AEST involves multiple stress application

OVERVIEW OF THE AEST PROCEDURE A complete AEST comprises of the following: Sampling: A batch of meters is randomly sampled from production lines or meter depot Pre-Qualifying Test: The test batch (meters) undergoes detailed visual inspection Vibration/ Drop Test: The test batch is subjected to random vibration testing and a subset of the batch undergoes a number of drop tests Post-Vibration/Drop Test: This test is the same as Pre-Qualification Test and assesses the condition of the test batch post vibration and drop testing. Stress Test: The meters are installed inside an environmental test chamber where they are subjected to three temperature/humidity cycles per day for a predetermined duration, typically 76 days for 24-meter sample with a targeted cumulative test time of 10 years. While undergoing temperature/humidity cycle the meters are energised and “loaded” according to the voltage/current profile. In-between the temperature/humidity cycles the meters are removed from the chamber and subjected to additional stresses, and thereafter returned to the chamber for the continuation of the cycling. Post Stress Test: Same as Pre-Qualifying Test

OVERVIEW OF THE AEST PROCEDURE – TEST SETUP

OVERVIEW OF THE AEST PROCEDURE – TEMPERATURE/HUMIDITY CYCLING

OVERVIEW OF THE AEST PROCEDURE – APPLIED STRESSES Temperature & Humidity Cycling Switching Transients Lightning Surges Electrostatic Discharge Vibration & Drops Voltage Supply Variations Load Profile Voltage Dips & Interruptions Under- & Over- Voltage Keypad & Load Switch Operations

OVERVIEW OF THE AEST PROCEDURE – INVOLVEMENT OF METER VENDORS During testing, faulty meters are removed from the test chamber and replaced with new ones to maintain the sample size The faulty meters are analysed and their failure modes are classified and recorded together with the stress factor applied, time and date of the when the failure occurred Most of the meters that fail during testing are returned to the manufacturers for root cause analysis and their findings form an essential part of the AEST test report. Over the years manufacturers have placed high value in participating in AEST process

EXPERIENCES FROM PREVIOUS AESTs A substantial amount of meters, especially models that are new to the South African market, failed during Pre-Qualification Tests bringing into question the level of quality control employed by meter manufacturers. However it has been found that manufacturers who have participated in prior AESTs fair better in this regard. In a recent test, a design error was detected and when informed of it, the manufacturer admitted that they were aware of the problem and were investigating an alternative design but released the errant meter due to delivery time constraints. Had the meters been deployed without AEST, Eskom would have experienced a high callout rates and incurred excessive maintenance costs. Most of the failures detected on split prepayment meters are related to the communication medium between the Customer Interface Unit (CIU) and Metering & Control Unit (MCU). This observation has prompted manufacturers to investigate alternative communication technologies with a better long-term performance Test results have not only helped manufacturers improve their manufacturing processes and product design approach, but it has enabled Eskom to position itself such that it can approach the market with an adequate meter specification.

JAMES WATT LABORATORY – ESKOM AEST FACILITY Established in the early 1990’s, recently to align with changes in IEC standards for test equipment and need for capability to test smart meters. Comprises of the following: Automated meter test system that energises meters and monitors their “health” during temperature humidity cycling Dedicated EMC test area – Lightning surge, switching transients and ESD 10 position test bench for accuracy verification and functional testing

AEST FOR SMART METERS Applied climatic and electrical stresses adopted directly from prepayment AEST AMI test cases, as per functionality specified in NRS 049, incorporated, i.e. load limiting, remote disconnect/reconnect, appliance control device operation, remote reading (schedule and on-demand) Assesses the smart meter’s ability to retain correct functionality under stress, tests long term performance of meter communication

WAY FORWARD AEST test reports demanded by Zimbabwe Electricity Transmission & Distribution Company for tender purpose, AEST steadily becoming “African” reliability standard Work under way to publish AEST procedure as an NRS Guideline (NRS 105 WG) Eskom’s test facility is being enhanced to enable performance testing of power line communications and DLMS/COSEM implementations during stress applications Almost all smart meter rollouts suffer from “Pilotitis” – AEST provides a cost-effective laboratory based assessment of smart meters prior to large-scale rollout

15 Thank you