Expecting more from grid infrastructure · Imagination at work. This Presentation In Draft Mode Use...

Imaginat ion at work.

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Juan M. de Bedout , Ph.D. Chief Technology Officer GE Energy Management

Expecting more from grid infrastructure The promise of advanced controls and analytics

Imaginat ion at work. “Part of this material is based upon work supported by the Department of Energy under Award Number DE-OE0000626”

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© 2014 Genera l Electric Company - All rights reserved

Improvement area Impact over 15 years

Gas fired generation fuel savings $66B

© General Electric Company, 2013. All Rights Reserved.

What if we found another 1% in… Segment

Generation

Grid infrastructure growth avoidance $45B

T&D

Rail infrastructure throughput $63B

Rail

System-level improvements the next big front ier

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Cloud

How? Controls, and the Industrial Internet ...

Machine Controls

Actua tors

Sensors

Expect more performance over t ime…not less!

Analyt ics & APM Deploy

Create

Configure

3 © 2014 Genera l Electric Company - All rights reserved

Higher computa tional capability, enabling:

Model-based controls

Edge-based analytics

Cloud connectivity

Fleet-level M&D

Big data analytics

Cloud gateway

Industria l Internet , bringing:

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Opportunities for utilities

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GridIQ Insight

Gaining insight from big data

EMS

SCADA

Historian

GIS

AMI

MDM

…

Meter

Breaker

XFM

PMU

IT

…

Weather (NOAA)

Google Maps

Twitter

…

Customer Systems Machines Non-t radit ional sources

DATA INGESTION and ABSTRACTION

PREDIX GRID – ENTERPRISE SERVICES PLATFORM

DMS OMS APM Crew Opt

Tradit ional Applicat ions New Applicat ions

MMS

Turning data into Insight

Interoperability - Predix Grid • Enterprise interoperability • Open standard platform • Traditional and new data sources

Applicat ions - GridIQ Insight • New applications – complementary

to conventional applications • Big data analysis • Cloud and premise solutions • Open APIs – customer innovation

• Revenue protection – technical & non-technical loss analysis

• Health (hot sockets, BIT) • Power quality analysis • Load forecast & research • Social media integration

• Vegetation mgmt analysis • Asset health analysis • System health analysis • Lifecycle analysis • Portfolio optimization • Dynamic Load Forecasting

Outage Insight

• Outage prediction • Outage event recorder • Planned outage optimization • Triage analysis to optimize

restoration sequence • Optimized resource staging

Reliability Insight

New applicat ions emerging

Meter Insight

6

a

Unlock customer value through smarter operat ion

Act ively t rade-off life vs. performance in a dynamic market

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Embed design knowledge for parts life

Creep Oxidat ion Fat igue Fat igue

Optimizing generation economics

New class of cont rols-enabled services emerging © 2014 General Electric Company - All rights reserved

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High penet rat ion renewable studies Commissioned by utilities, commissions, ISOs...

Cost-effect ive high penet rat ion aided by cont rols-related solut ions

Connecting more renewable energy

Success Factors • Wind forecast ing • Flexible thermal fleet

– Faster quick starts & ramps – Deeper turn-down

• Grid-friendly wind and solar • Demand response ancillary services • More spat ial diversity of wind/solar

Impediments • Lack of t ransmission • Lack of cont rol area cooperat ion • Market rules / cont racts const raints • Unobservable DG – “behind fence” • Inflexible operat ion st rategies

during light load & high risk periods

Key learnings

• Examine feasibility of 100+ GW of new renewables • Consider operability, costs, emissions, transmission

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Fast -start LMS 100

Smart use of dist ributed resources • Active management of PV & loads:

price, curtailment , voltage… • DER participation in ancillary services • Microgrids & aggregation for better

battery storage performance – moving beyond LMP arbitrage

Opt imizing convent ional generat ion • Leverage production forecasting in

optimal dispatch • Intelligent unit commitment • Use of fast-start thermal generation • Bridging storage (if needed) • Commitment of net load ramps

Reserve req

Connecting more renewable energy

Advanced automat ion key to driving further penet rat ion

Ramp Rate

Pow

er

Time

Leveraging grid-friendly renewables • Fault ride-through • Volt/VAr regulation • Ramp-rate controls • Curtailment • Inertial response

Microgrids

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Modeling load accura tely

Improved ut ility planning and situat ional awareness

Today: Ident ifying where to implement CVR through load analyt ics

Tomorrow: Transmission level impact…

Analytics determine load voltage dependency

Improved load model heightens knowledge of true stability margin:

• Accurate contingency analysis

• Enables more aggressive operation

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Typical Remedial Act ion Schemes (RAS) Smarter, right-sized remedial actions

Pre-programmed logic in substation IED Static actions – same size fits all Not sustainable as numbers RAS grow:

• Unforeseen RAS Interactions • Difficulty testing • Large field crew effort to install & maintain

State of the art : Dynamic Centralized Remedial Act ion Schemes

Dubai Aluminum: 2GW, 23 GT, 7 ST, 6 potline lds, 10 brks , 5 subs • Fast contingency actions – 50-150 msec

• Central decisioning – implemented in EMS • Dynamic shedding/tripping based on fault size • Fast comms - IEC 61850 GOOSE • Wide area coming – routable GOOSE, MPLS 55 IEDSs 800 points X2

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Dynamic network ra ting

*Taylor, C.W.; Erickson, D.C.; Martin, K.E.; Wilson, R.E.; Venkatasubramanian, V., "WACS Wide-Area Stability and Voltage Control System: R&D and Online Demonstra tion," Proceedingso f the IEEE, vol.93, no.5, pp.892-906, May 2005.; D. Guido, “ISO, NERC Pact Aims to LowerBlackout Threa t,” Megawatt Daily, April 16, 2010.

Opportunity to unlock 5-30% excess network capacity

Enabling less conservat ive t ransmission margins

From offline stability planning… …to online assessment

Planners

Operators

Control

“This material is based upon work supported by the Department of Energy under Award Number DE-OE0000626”

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• Advances in controls and automation will unlock new system-level performance – benefits could be substantia l

• Expect more from existing infrastructure – extract knowledge from field da ta to reduce conservatism

• Leverage information broadly – va lue in non-traditional sources such as socia l media or weather reports

• Connected world will bring controllability to a la rge fleet of energy resources – terrific resource for rebuilding flexibility

• Controls technology will rise to the challenge – terrific progress in HPC, communications, modeling and simula tion, da ta aggregation and reduction…

In closing…

Thank you!

Expecting more from grid infrastructure · Imagination at work. This Presentation In Draft Mode Use...

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