The role of the Electrical Digital Twin in the energy ...€¦ · Substation As-Built Line Ratings Other Data Sources Data Sources Relay Settings Devices Planning Operations Operations

The role of the Electrical

Digital Twin in the energy

system transformation Michael F. Schneider, Siemens Digital Grid Software & Consulting

EMFC | Las Vegas, September 26, 2019

siemens.com/electrical-digital-twinUnrestricted

Unrestricted © Siemens AG 2019

EMFC | September 26, 2019Page 2 Michael F. Schneider – Siemens Digital Grid Software & Consulting

The Energy Revolution: Big Picture

Distributed Energy Systems

Distribution and ConsumptionTransmission

From centralized power

and unidirectional grid …

… to Decentral and

Distributed Energy

Systems and bidirectional

balancing

Distance from

source to load

Refurbishment/

upgrades

Decentralization

(public/private)

Changing

generation mix

Generation

capacity

additions

3 5421



Peak Load

ca. 82 GW

Base Load

ca. 40 GW

Example Germany:

More renewable generation capacity than peak load

Source: http://www.bundesnetzagentur.de/DE/Sachgebiete/ElektrizitaetundGas/Unternehmen_Institutionen/ErneuerbareEnergien/ZahlenDatenInformationen/zahlenunddaten-node.html

https://www.energy-charts.de/power_inst_de.htm

Trend towards an:

„Electronic Grid“

Resulting Challenges for

grid operators:

• Changing system

dynamics

• Frequency and

Voltage Stability

• Short Circuit Power

• …2002 2004 2006 2008 2010 2012 2014 2016 2018 2019

00.00

20.00

40.00

60.00

80.00

100.00

More installed Wind- and PV-capacity than Peak Load

>65GW of Wind and PV-Power Plants connected to LV- and MV-systems



Germany: Regional renewable distribution is challenging

Source: German Power Network Development Plan

100 MW

0 MW

-100 MW

50 MW

-50 MW

40% Share of Renewables 80% Share of Renewables

500 MW

0 MW

-500 MW

250 MW

-250 MW

In the futureGeneration and consumption decoupled

PastGeneration follows consumption

TodayGeneration and consumption: gap

Most likely scenario

for 2024

Most likely scenario

for 2035+



Germany: Power Generation and Consumption in August 2019

Source: https://www.agora-energiewende.de/de/themen/-agothem-/Produkt/produkt/76/Agorameter/

Volatile Renewable

Power Generation:

55

GW

8

GW0 GW

20 GW

40 GW

60 GW

80 GW

100 GW

Po

wer

Gen

era

tio

n a

nd

Co

nsu

mp

tio

n

Conventional power plants

Biomass

Solar

Electricity Consumption

Wind Onshore Wind Offshore Hydro

1 Aug. 3 Aug. 5 Aug. 7 Aug. 9 Aug. 11 Aug. 13 Aug. 15 Aug. 17 Aug. 19 Aug. 21 Aug. 23 Aug. 25 Aug. 27 Aug. 29 Aug. 31 Aug.



Systems face increasing re-dispatch & RES integration costs,

which drive energy price increases for end customers

30 4525 13

165

436 423388

2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018

187

42

235

133

Source: BDEW, BNetzA

Re-dispatch costs in Germany1

in mn EUR

1) Incl. costs for counter-trading 2) At average consumption of 3500 kWh per year

5.7

5.9 5.9

6.6 6.66.7

7.5

7.3

2009 2010 2011 2012 2013 2014 2015 2016 2017 2018

6,1

7,0

Average grid costs for residential customers

in Cent per kWh2

Source: BDEW, www.strom-report.de



2006 2008 2010 2012 2014 2016 2018

7,36,7

2,51,5

Exact forecast of when a new market will take off?

Sources: IHS technology, EPIA = European PV Industry Ass., IEA = International Energy Agency, BNEF = Bloomberg New Energy Finance

(GW/a)

Actual

Historic comparisons show the market estimates can be

inaccurate…



Exact forecast of when a new market will take off?

2006 2008 2010 2012 2014 2016 2018

7

3

38

2

30

7

17

30

41

50

75

98100

Sources: IHS technology, EPIA = European PV Industry Ass., IEA = International Energy Agency, BNEF = Bloomberg New

Energy Finance

(GW/a)

Actual

Analogies for

eCar and Storage

• Start: Subsidized, regulation,

target setting

• Economies of scale

(brutal cost out)

• Tipping points:

• Equal total cost of

ownership

• Invest < Invest comp.

• Soft facts: Environment,

coolness factor

• Zero emission regulation

Though, historic comparisons with PV allows accurate

predictions for eCar and storage…



Storage in the US: Near term outlook shows aggressive growth

Source: GTM Research

Energy storage deployments in the US (in MW)

• Acceleration observed already during last years

• Doubling expected in 2020 due to strong front-of-the-meter pipeline

• Further growth expected in coming years, e.g., due to a variety of

state initiatives like in Massachusetts or New York



Storage in the US: More and more reflected in utility IRPs

Puerto Rico (under study)

700 -1000 MW by 2022

Source: GTM Research, IHS market



• Integration of Renewables

• Grid extensions

• Stability challenges (less inertia,

trend towards “solid state grid”)

• Power quality and reliability of supply

• Cyber Security

• Automated operation and situational awareness

• New business models, solutions and customers

Global energy: Strong growth until 2030 – broad technology mix

• Regulatory uncertainty and public acceptance

• Disruptive potential from cheap storage

Hydro 2.2%

Gas 1.8%

Wind 9.8%

PV 13.7%

Nuclear 1.2%

Coal -0.4%

10.9

Oil -1.7%

4.3%

7.2

CAGR 18-30e

Other ren. 5.3%

Global power generation capacity in TW

Source: IHS technology

2018 2030

Impact on Grids



ElectricalDigital Twin

Decentral Energy Systems

Digitalization

Network ModelManagement

Model complexityIn

tegra

ted

pla

nn

ing

Artificial

intelligence

Storage

Scenario

pla

nnin

g

Grid

Stability

Renewables

Internet of things

eCar

Congestion costs

Volatility of supply

Data

silos



Siemens Digital Grid Software & Consulting

PSS® and

SIGUARD®

grid planning

and simulation

Grid Simulation

Spectrum

Power™ grid

operations and

control

Grid Control

EnergyIP™

business

applications

and analytics

Grid Applications

Software

ConsultingEnergy infrastructure

strategy and

digitalization

consulting

Energy Business Advisory

Grid design,

planning,

optimization and

operational support

Power System Consulting

Managed Applications and Services

Combining Grid Software applications with cloud infrastructure, IT environment and application

management, customer service desk and data management, including end-to-end services



An Electrical Digital Twin

provides a digital representation of

the grid and the major assets in it.

The twin facilitates the simulation

of all technical and economical

aspects relevant for reliable,

efficient and secure electrical

system planning, operation &

maintenance.

What is the Electrical Digital Twin?

Electrical asset twin• Generation plants, substations,

power transformers, …

Transmission Distribution &

PV developers

Industry,

infrastructure,

building

Electrical grid twin

Cross-vertical coupling

Generation

1) Across grid and asset life cycles, including links to GIS, asset management, …

One unified data model 1)



Synchronized models / standardized exchange of data

Electrical

Digital Twin

Database

Adapters / Interfaces

Electrical Digital Twin

Engine & GUI

External Entitiese.g Neighboring TSO /

ISO / RTO

Outages

Substation

As-Built

Line Ratings

Other Data

Sources

Data Sources

Relay

Settings

Devices

Planning

Operations

Operations

Planning

Protection

Asset

Management

GIS

Meter Data

Management

Market

The Electrical Digital Twin provides a single source of truth for

network data and allows for advanced analytics applications

Synchronized models and standardized data exchange1

2

3

Increased efficiency and optimized processes with the ability to operate the grid closer to it’s physical limit

Comprehensive system modeling and planning solution for integrated transmission and distribution analysis and operation

Foundation for future digitalization use cases and ability to leverage emerging technology with advanced analytics



Electrical Digital Twin application example:

Transmission Network Model Management at AEP

The solution will…

Network Model Manager

PSS®ODMS

• User Interface

• One Line Editor

• Project Editor

•Workspace/

Scenarios/Case

Builder

Adapters / Interfaces

NMM Database

External Entitiese.g Neighboring TSO /

ISO / RTOOutages

Substation

As-Built

Line

Ratings

Other Data

Sources

Data Sources

PlanningPSS®E | PSS®MOD |

Other Software

Operations

EMS

Operations

Planning

Other DomainsProtection | Outage

Management | Asset

Management | GIS

▪ State Estimator

▪ Contingency Analysis

▪ Powerflow

▪ Short Circuit

▪ Dynamics

▪ OutageManagement

▪ GenerationInterconnection

▪ Next-DayStudies

▪ Etc...

“…give AEP an advantage

in a competitive business

environment by enhancing the

company’s ability to exploit data”

“…greatly reduce the time and

costs associated with manual

model coordination efforts”

“…accelerate the ability

to capture value”

“…improve the ability to manage

growth in the number and mix

of transmission projects”



Electrical Digital Twin in Finland:

Transmission Network Model Management at Fingrid



Electrical Digital Twin application example: Fact-based investment

decisions for grid modernization at Fingrid

Page 18

“We can calculate

for a future as far away

as 25 years.”

Jussi JyrinsaloSenior Vice President,

Grid Services and Planning,

Fingrid

~ €1.0bnBasis for modernization

investment decisions of by 2025

Integration of

clean power

with a cost-efficient grid

Improved

grid reliability

>99,9996% through

cross-functional

workflows and

data management

Improved

investment

planning

with “single source

of truth”, 25 years

in the future

Reduced

effort

80 % data collection

and verification / 20%

advanced analysis

turns into 20/80 %



Transmission

Data Management

Use Cases

Workflow for

renewable generation

connection

Advanced analysis in

grid control (power

quality, reliability

assessments, etc.)

Improved decision

making for optimized

dispatch

Dynamic Security

Assessment in grid

control

Integrated T&D

planning in system

design and operations

Integration of CIM

network model mgmt.

into IT/OT

Data validation

Low voltage awareness

with simulation based on

live data

Automated workflow

management

Automatic model

creation &

maintenance

(all sources)

Data exchange with

neighboring entities

Mgmt. of grid data and

scenarios in one central

model

Advanced Simulation

Use Cases

Electrical Digital Twin: Specific roadmap required

(Exemplary Use Cases)

Improved outage

planning

Dynamic Line rating to

increase grid utilization

Preventive protection

security assessments

for different switching

conditions, thus

improving reliability



Economic Dispach

Data Services

Technical Stability Planning

Siemens and Energy Exemplar: Partnering to develop techno-

economic co-simulation workflows and fantastic customer value

Intelligent network planning and operations solutions

Digital Twin

Interoperability

Seamless workflows and data integration

Techno-economic

Co-simulationDecision Support

Optimization

Grid Operations

Network Analysis

Simulation




EMFC | September 26, 2019Page 21 Michael F. Schneider - Siemens Digital Grid Software & Consulting

Summing it all up…

Digitalization is key enabler

Energy System: Dramatic change ongoing

Digital Twin = mirror of real system

Cross-function approach – Partnerships

Techno-economic co-simulation

Documents

The role of the Electrical Digital Twin in the energy ...€¦ · Substation As-Built Line Ratings Other Data Sources Data Sources Relay Settings Devices Planning Operations Operations