Historians are just about past data right? - Invensysiom.invensys.com/EN/userGroupPresentations... · Historians are just about past data right? ... Alarm Management . ... based”

Historians are just about past data right? James Kelloway Advanced Applications Team Leader National Grid (UK)

2015 Software User Conference. Schneider Electric confidential.

Contents ●Who are we?

●Our Historian

●Our Journey – Years 1 & 2

● Future Energy Challenges in the UK

●Year 3: Alarms / Volts / Wind & Solar

● Future Data


National Grid (UK)

● Own and maintain the high-voltage electricity transmission system in England and Wales

● Operating the system across Great Britain, balancing supply with demand on a minute by minute basis

● Owns and operates the Gas National Transmission System throughout Great Britain

● Owns and operates a significant Gas Distribution network throughout the heart of England


Our Team

SCADA PNA

(Real-time network analysis)

Change Management

Advanced Applications

Online Modelling

We craft advanced applications and displays for our engineers We innovate with our data and technology to deliver high grade solutions Current Languages include: VB.Net, ASP.Net, T-SQL and a few others…


Our DH eDNA History

eDNA Archive

SQL & eDNA Web

Centre 1 Centre 2

eDNA History

eDNA Archive

SQL & eDNA Web

Main Backup

CN

I P

rod

TT

D

eDNA History

eDNA Archive

SQL & eDNA Web

Centre 1 Centre 2

eDNA History

eDNA Archive

SQL & eDNA WebMain Backup

• Just completed significant upgrade to TTD environment

• Active Project to Upgrade from 2014 R2 (currently using 2013 R1 in CNI)

• Active Project to provide Enhanced Situational Awareness to our Control Teams

• Active Hardware Refresh in progress

• Custom Warehousing within the SQL Server supporting Alarm and Voltage software

• System sized for 1.2M points at 1 sec resolution (about 1/3 loaded)


Our Other Tools


Our DH • Three years since the Data Historian go live in

the Electricity arm of the business and are implementing in the Gas arm of the business

• We use the product suite as the core system to store our historical data and requirements continue to be developed for our engineers

• We store forecast Information in our historian

• We are extensive users of CHaD and CIM CIM

• We have many custom applications that use the Data Historian


Our DH - Year 1 • Stabilised the historian after initial implementation • Developed extensively within eView


Our DH - Year 2 • Explored the API • Produced CNI Custom Applications • Point 2 Point Integration


Future Energy Challenges in the UK

●No one can be certain how the energy future will evolve and this uncertainty may continue for decades

●Our Future Energy Scenarios (FES) represent transparent, holistic paths through that uncertain landscape to help Government, our customers and other stakeholders make informed decisions

● These scenarios are not forecasts, they are predictions of the future that seek to discover plausible and credible conclusions for the future of energy



● To address current issues, our scenarios are based on the energy trilemma of security of supply, affordability and sustainability

● The Government has set a standard for electricity security of supply and through Electricity Market Reform put in place the framework to deliver to this standard

●Our scenarios flex the two variables of prosperity and green ambition


Future Energy Challenges in the UK Here are the political, economic, social, technological and environmental factors accounted for in our four 2015 Future Energy Scenarios










Future Energy Challenges in the UK Here are the political, economic, social, technological and environmental factors accounted for in our four 2015 Future Energy Scenarios



● Change is coming

● Margins are tightening

● Generation is less predicable

● Renewables are on the up

● System Inertia is on the way down

● Our engineers need the tools to work in this world


Our DH – Year 3 Alarm

Management Offline Study Integration

Enhanced Situational Awareness

Leveraging the CNI SQL Server within the Historian

Move back end of CNI Voltage Software to SQL

Big Picture Improvements for our Control Teams

Drive Data Quality and reduce nuisance alarms

Store Future Voltage Profiles within the DH

Store Future Data within the DH

Target levels at EMUR Standard

Access Future Points via CHaD

Design work – Historian at the heart of the Data

Custom Alarm Analysis Application

Auto Load output of OLTA Studies to the Historian

Provide Analysis Capability


Our DH – Alarm Management The Alarm Analyser Tool has been designed to provide a greater level of visualisation and analysis of alarms for our control centres.


Our DH – Alarm Management • Rolling day • User controlled

Date ranges • Logging / audit • Filtering


Our DH – Alarm Management • Pivot Alarm

Data • Based on SQL

Staging in DH


Our DH – Offline Study Integration • Load and

Amend Voltage Study Points

• Application stores future Profiles in DH in a dedicated Future Service


Our DH - Enhanced Situational Awareness


Our DH – Solar & Wind Forecast • A proportion of our Wind Power and

Most Solar Power is not metered

• We rely on advanced statistical models to forecast the impact of these renewables

• Requirement to combine traditional metering with stats outturn and forecast models within the DH


Our DH - Solar Forecast Data in Trend Past Future • Uses custom

Windows Service to store future history

• Data reads back through standard tools and API

• Use Future Data Range


Our DH - Wind Forecast Data in Trend Past Future • Uses custom

Windows Service to store future history

• Data reads back through standard tools and API

• Use Future Data Range


WARNING: Code Slide Ahead!


Our DH - Solar Forecast Data in Trend • Write to History

Services Directly with Standard API

• Option to use RT Service (Preferred)

• Talk with the Schneider Technical Experts for best practice


Our DH – Visualization Application • Write to History Services

Directly

• Option to use RT Service (Preferred)

• Talk with the Schneider Technical Experts for best practice


Historians are just about past data right? WRONG!

2015 Software User Conference. Schneider Electric confidential. ©2014 Schneider Electric. All Rights Reserved. All trademarks are owned by Schneider Electric Industries SAS or its affiliated companies or their respective owners.

Duke Energy Nuclear

Modeling the Success of our own Fossil Fleet Initiatives Howard Nudi

Confidential & Proprietary.

ABOUT DUKE ENERGY Duke Energy Corporation is an energy company headquartered in Charlotte, NC. Its Regulated Utilities business unit serves 7.3 million retail electric customers in six states in the Southeast and Midwest regions of the United States, representing a population of approximately 23 million people. Duke Energy is a Fortune 250 company traded on the NYSE. • Market Cap (as of 2/12/15) - $57.5 billion • 2014 Operating Revenues - $23.9 billion • Total Assets (as of 12/31/14) - $120.7 billion • Employees (as of 1/31/15) – 28,324 • Total U.S. Generating Capacity – 57,500 MW • States Server – NC, SC, IN, OH, KY, FL • Total Electric Retail Customers – 7.3 million • Total gas Customers – 500,000 • Total Transmission Lines – 32,400 miles • Total Distribution Lines – 262,900 miles


The Role of Performance Monitoring in Equipment Reliability

●Fundamental support for the culture transition from a reactive to a proactive organization

●Provides advanced notice for potential equipment anomalies ●Allows increased reactionary time, additional analysis / troubleshooting,

planning, and resource allocation ●Support the objective of shifting maintenance strategy from a “time

based” to a “condition based” philosophy when modeling supports this shift

●Refocus engineers time from the traditional weekly M&T activities to actually performing analysis of the automated M&T information that APR technology provides


APR Philosophy ● Maintain credibility by reviewing and screening all APR alarms before sharing with the

stations ● Focus on reliability finds

● Committed to identifying subtle indications of component degradation beyond 24hrs ● We are not an extension of the operators - we are an extension of CBM.

● Integrate with the plant Maintenance and Reliability process

36


Duke Energy APR Team Mission ●Our mission is to help the plants improve long term reliability and cost

by predicting equipment problems that will evolve from fault to failure 24 hours or more into the future. ●We use Advanced Pattern Recognition software to monitor plant equipment

operation. The software detects subtle deviations from normal operation that can be used as early indicators of future problems.

●We partner with the stations and fleet technical support to capture their knowledge of the equipment. We build this knowledge into our models to free the plants from repetitive monitoring. This allows them to focus on emerging issues instead.

●We are part of the fleet-wide Maintenance and Reliability process that manages risk and reliability at the lowest possible cost.


Duke Fossil Footprint Portfolio • 48 coal-fired • 129 simple cycle combustion turbines • 13 combined cycle power blocks • 1 integrated gasification combined cycle • 9,661 models currently with plans for an additional 5-10K using

SmartGen technology (advanced sensor additions)

Future Plans • Installing up to 30,000 sensors on newly instrumented equipment


Duke Fossil Monitoring & Diagnostic Centers

● Reliability & Performance Monitoring ●Advanced Pattern Recognition Software ●Thermal Performance Software ●SmartGen – Advanced Remote Monitoring

● Started in 2004 ●5,000+ engineering failure mode models – 48 plants ●SmartGen – adding advanced monitoring and more assets

● Regional Centers ●Charlotte ●Raleigh ●Indianapolis ●St. Petersburg

● Detects problems before traditional operator alarms ● NUCLEAR located in the Charlotte M&D Center

39

Charlotte

St. Pete

Focus: Early Detection of Equipment Anomalies


How This Got Started in Duke Nuclear? ● Assigned as one of the fleet engineering representatives to participate on the

CNO’s PM ECM team initiative (Spring 2014) ● Cross functional team of approximately 16 members

● Brainstormed ideas to pursue for potential future savings ● Component re-categorization, PM template alignment & updates, PM maintenance

feedback process, PM outage scope, Fleet PM consistency, Continuous Online Equipment Monitoring

● June 2014 – Duke Fossil presented what they have accomplished with APR technology over the past 10 yrs. – Over $15M in avoidance documented

● Assigned to benchmark industry, fossil and start the conversation with InStep LLC (now Schneider Electric) about the PRiSM software

● ECM Cross Functional Team decided to pursue this technology as a gateway to future PM reduction savings and real time avoidance cost savings

● Nuclear pilot was the decision. Shearon Harris (HNP)selected as the station


Component Selection ●Focus - Critical Components

●Significant Power Transient or Derate ●Loss of Redundant Safety Function ●Unplanned Entry into Tech Spec LCO ●Reactor Trip ●Actuation of Emergency Safeguards Features ●Degraded Capabilities to Shut Down the Reactor and

Maintain it in a Shutdown Condition


HNP Pilot Project (2014-2015) ●SEP 2014 - Kickoff in Chicago with the InStep project team ●SEP 2014 – FEB 2015

● IT infrastructure built for the pilot program test environment ●HNP component selection and OSI-PI point identification ●PRiSM install, testing, and administrator training ● Training data downloads – model development ● License purchase for the 7 DEC units completed ●Model runtime and tuning ●Model completion for Duke maintenance


HNP Today… ●PRiSM Architecture is in full Production Environment ●54 Projects Deployed ●24 Component Model Templates Developed ●Primarily Large Rotating Equipment

●Main Turbine (3 Models) ●Main Generator (3 Models) ●Pumps: RCPS, MF, COND, COND BSTR, CTMU, NSW, CHARGING,

CCW, CIRC WATER, HTR DRN ● Transformers: Main Step Up and Unit Auxiliaries

●Post outage model tuning and meetings with component engineers at station


HNP 2014 CTMU PUMP THRUST BEARING

TEMPERATURE


HNP CTMU 1X PUMP MTR COOLER ●June 2014 – Thrust bearing temperature reached 160 F and control

room received a high temperature alarm. ●Operations reacted immediately to secure pump and shift to the CTMU

1-2X Pump. ●Questions were asked to the engineering team – why did you not see

this coming? Why are we getting alarms in the control room for bearing temperatures that should be trended by engineers?

●CTMU 1X Pump model deployed in Jan 2015. ●Nudi & Reed at HNP were asked by site engineering management if

APR would have identified this trend and if so, when?


HNP CTMU Pump 1X (June 2014 Playback)

Thrust Brg Temp Upper Brg Temp

OPS Shifted Pumps


HNP CTMU Pump 1X (June 2014 Playback)


HNP CTMU Pump 1X (June 2015 – APR Deployed)


Future Project Plan

2015 • HNP U1 • MNS U1 &U2 • HIRE ENGINEER

2016 • CNS U1 & U2 • RNP U2 • ONS U1

2017 • ONS U 2 & U3 • BNP U1 & U2

FUNDING APPROVED

USING EXISTING

INSTALLED SENSORS

NO PLANT

MODIFICATIONS


Beyond 2017 ●Nuclear teaming with our Fossil Fleet for a combined

Monitoring & Diagnostic Center in Charlotte, NC ●Targeted site/component sensor installation modifications

to enhance component models ●Initial focus will be enhanced vibration sensor installation

and monitoring capability ●Leverage OLM Program to shift select PMs from “time

based” to “condition based” maintenance intervals


QUESTIONS?

Confidential & Proprietary. © 2015 Schneider Electric Software, LLC. All rights reserved.


Some Available EPRI References ● Guideline for Initiating an OLM Program for Nuclear Power Plants (EPRI TR 1021116, June 2010) ● Guideline for OLM of Nuclear Power Plants: Volume 2 (EPRI TR 1023031, December 2011) ● Equipment Condition Assessment: Cost-Benefit Guidelines (EPRI TR 1015085, March 2008) ● OLM Cost-Benefit Guide (EPRI TR 1006777, November 2003) ● Building APR Models – Instrumentation & Control Guidelines (EPRI TR 3002001116, December 2013) ● Turbine Condition Assessment & Monitoring Methodology (EPRI TR 1004963, December 2004) ● OLM of Emergency Diesel Generators (EPRI TR 3002000742, October 2013) ● Guideline for OLM of Nuclear Power Plant Instrument Channel Performance (EPRI TR 1022988,

November 2011) ● OLM for Equipment Condition Assessment: Model Evaluations and Alarm Settings (EPRI TR

1010466, December 2005) ● Equipment Condition Assessment (EPRI TR 1010038, December 2005) ● Application of OLM Techniques to Equipment Condition Assessment (EPRI TR 1010034,

December 2005)

Lunch in the Foyer #2015SWUC

Documents

Historians are just about past data right? - Invensysiom.invensys.com/EN/userGroupPresentations... · Historians are just about past data right? ... Alarm Management . ... based”