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March 22, 2017
Siemens – OMNETRIC Group:
Industry Day Workshop
Copyright ©2016 OMNETRIC Group. All rights reserved. OMNETRIC Group confidential information. 2
Meeting logistics
NREL ESIF Lab
15013 Denver West Parkway
Golden, CO 80401
Date:
22 March 2017
Time:
8:30 a.m. to 4:30 p.m.
Copyright ©2016 OMNETRIC Group. All rights reserved. OMNETRIC Group confidential information. 3
Agenda
8:30 a.m. – 8:45 a.m. Welcome and Introductions
8:45 a.m. – 9:00 a.m. NREL: Integrated Network Testbed for
Energy Grid Research and Technology
Experimentation (INTEGRATE) project
overview
9:00 a.m. – 9:45 a.m. OMNETRIC Group: Grid edge
communications and control utilizing an Open
Field Message Bus (OpenFMB) framework
9:45 a.m. – 10:30 a.m. DUKE Energy & CPS Energy: Microgrid
demonstration projects at Mt. Holly and Joint
Base San Antonio
10:30 a.m. – 10:45 a.m. Break
10:45 a.m. – 11:15 p.m. Siemens: New features in latest version of
Microgrid Management System (MGMS)
11:15 a.m. – 12:30 p.m. Tour of the Energy Systems Integration
Facility (ESIF) laboratories: Cybersecurity
Testbed, Power Systems Integration Laboratory,
Control Room, Energy Storage Laboratory, Insight
Center
12:30 p.m. – 1:30 p.m. Lunch & Networking
1:30 p.m. – 2:00 p.m. Microgrid Communications and Grid Edge
Energy Management System project
demonstration
2:00 p.m. – 2:30 p.m. Project lessons learned and ongoing
commercialization and deployment efforts
2:30 p.m. – 3:00 p.m. Break
3:00 p.m. – 4:30 p.m. INTEGRATE project feedback and open
discussion
4:30 p.m. Adjourn
Copyright ©2016 OMNETRIC Group. All rights reserved. OMNETRIC Group confidential information. 4
We help capture the opportunities of digitalization in
the grid
In 2014, Siemens and Accenture launched a joint venture based on the market’s need
for a new solution provider
Engineering and energy
technology
Smart grid applications
Grid control experience
Systems integration and
services capabilities
Proven delivery
methodologies
Industry-specific
technologies, assets
and processes
Dedicated to utilities
OT-IT integration
specialist
Integrated smart grid
solutions for a digital
grid
...dedicated to helping
utilities bridge the gap
between operations and
information technology
...existing as a separate
entity to which both
Siemens and Accenture
could bring their IP and
integrate IT and OT more
effectively
...with expert practitioners
from both companies,
working as one team
IT
experts Data
scientists
Engineers
Better
outcomes
from
integrating
information
and
operations
technology
Copyright ©2016 OMNETRIC Group. All rights reserved. OMNETRIC Group confidential information. 5
We are committed to bringing the utilities sector
to the forefront of the new energy economy
We bring together engineering
know-how, IT and cybersecurity
expertise and data science to
push the boundaries of
innovation
Engineers
Cybersecurity
specialists
IT
experts
Data
scientists
Copyright ©2016 OMNETRIC Group. All rights reserved. OMNETRIC Group confidential information. 6
More than 185 practitioners dedicated to developing
and delivering smart grid solutions
• 200 people across 14
countries
• 14 OMNETRIC Group
locations
• +70 projects in 15
countries
• 100 people supporting
OMNETRIC Group projects
from a dedicated center,
in the Accenture Delivery
Center, Pune, India
Rest of world
+30
+110
Americas
40
+90
4
dedicated
delivery
locations
2
locations 5 locations
Employees
Locations
Projects
Dedicated
delivery
22 March 2017
NREL Integrate
Copyright ©2016 OMNETRIC Group. All rights reserved. OMNETRIC Group confidential information. 8
The objective of this project is to demonstrate an Open Field Message Bus
(OpenFMB) Reference Architecture that will enable the grid to effectively support
large-scale complex operations, such as with distribution systems at electric
utilities, which allow for an integration and wider penetration of renewable, clean
energy resources.
The premise of the project is that management of distribution systems with large penetrations of
renewable resources is impacted by three major issues:
1. The lack of standardization and interoperability between the vast array of equipment in
operation and on the market, most of which use different and proprietary means of
communication
2. The magnitude of the network and the information it generates and consumes
3. Energy production from renewable resources is in general, hard to predict and variable at time
of production.
Objective
Copyright ©2016 OMNETRIC Group. All rights reserved. OMNETRIC Group confidential information. 9
• Predicting the production of renewable resources on the grid
• Grid Resource optimization with central monitoring and control, combined with Peer to Peer
monitoring and control
• Grid monitoring and diagnostics
• Information technology (IT) and operational technology (OT) integration
• Timely access to actionable operational device data in the field
• Improving the response time of integrated distributed energy resources in the field
• Lowering the total cost of ownership of integrated distributed energy resources
• Reducing the risk of employing advanced distributed energy resource technologies
• Accelerating the software development cycle time for grid control and management
The OpenFMB Architecture solution was validated in a laboratory setting at NREL ESIF, and in field
demonstrations at both Duke Energy and CPS Energy. Microgrid technical and economic costs/benefits
were analyzed and reported
Scope
The proposed solution enables several features that allow utilities more
flexibility and options when designing their systems:
Copyright ©2016 OMNETRIC Group. All rights reserved. OMNETRIC Group confidential information. 10
The Basic Concept:
increase capacity of grid to host renewables using microgrids
Actual Variability
Increased penetration of clean renewable sources requires
upgrading controls and communication architectures in order
to optimize use of these resources alongside today’s power
grid.
Power production from renewable resources is often
uncertain and variable.
Renewable resources and control equipment are
now becoming available from many manufacturers—but
their ability to easily interoperate is limited
due to lack of alignment with common standards
Cyber Security is also an on-going challenge
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Probabilistic Solar PV Forecast
Copyright ©2016 OMNETRIC Group. All rights reserved. OMNETRIC Group confidential information. 11
Project Summary
• NREL seeks integration services and industry expertise to develop a
secure interoperable platform for incorporating and optimizing
renewable energy sources and microgrids, as well as to set the stage
for industry alignment with related standards
• OMNETRIC Group is the prime, partnering with Duke, Siemens and University of Texas San Antonio (UTSA)
• CPS is a supporting partner providing a compatible MGMS site at no cost
• Project Duration: 18 months, starting 6th March 2015
Copyright ©2016 OMNETRIC Group. All rights reserved. OMNETRIC Group confidential information. 12
The team
NREL
• Greg Martin: Lead Electrical Engineer
/Technical Monitor
• Larry Brown: Facility Manager
• Andrew Hudgins—Project Manager
• John Nangle: Communications &
Networks
• Barry Jennings: Visualizations
Systems
• David Schmidt: Subcontract
Administrator
• Courtney Pailing: ESIF User Program
Administrator
• Mike Day: Environment, Health and
Safety
• Ismael Mendoza, John Fossum: ESIF
Research Electrical Engineers
• Chuck Vega: Networking and Cyber
Security
UTSA
• Les Shephard:
• Rolando Vega
• Walter Richardson
• Gaelen McFadsn
Duke Energy
• Stuart Laval:
• Dwayne Bradley
• David Lawrence
• Brad Black
Siemens
• Clark Wiedetz
• Shashank Pande
OMNETRIC Group
• Shailendra Grover: Project Manager
• James Waight: Principal Investigator
• Ray Lui: Lead developer
• David Matula: Controller
• Craig Cavanaugh: Project Executive
CPS Energy
• James Boston
• Mike Sparkman
• Shaneshia McNair
• Ron Ward
Consultants
Subcontractors
Affiliates
Prime Contractor
Customer
Legend:
Copyright ©2016 OMNETRIC Group. All rights reserved. OMNETRIC Group confidential information. 13
1) Aggregating renewable
resources into Microgrids that
are MANAGED to perform
predictably and can be better
accommodated by an enhanced
power grid
2) Microgrid management using
intelligence deployed ON A
DISTRIBUTED ARCHITECTURE
throughout the grid
3) Communicating and
interoperating with multiple
vendor equipment through
STANDARDS
The Basic Concept:
Increase capacity of grid to host renewables using Microgrids
2xABB 100 kW Schneider 540 kW
XC Inveter AE 500 TX
Caterpillar Diesel
300 kW 3-phase
480V
DNP/
Modbus
Adapter
CN
PCC Enabling the Grid to
integrate renewable,
clean energy resources
on a large scale. This will
be done by:
Modbus
Adapter
CN
Modbus
Adapter
CN
Modbus
Adapter
CN
Modbus
Adapter
CN
Modbus
Adapter
CN
OpenFMB/DDS
Battery System
Erigo Eagle Picher
200kW
Anderson 660 kW
DC Wind
Simulator
Magna Power
1500 kW
PV Simulator
EMCP4 RTU
Adapter
Dispatch
&
Scheduling
S
C
A
D
A
RED B Electrical Bus 3 phase 480 VAC
Adapter
TCP
Sky
Camera
CN
MGMS
Critical Load Bank
Load Tech
250 kW,
480 VAC,
3 Phase
Sheddable Load
Tech Load
250 kW,
480 VAC,
3 Phase
SEL
751A
M
M
Copyright ©2016 OMNETRIC Group. All rights reserved. OMNETRIC Group confidential information. 14
1st
Use case: Establishing a
MicroGrid
Microgrid used to provide highly
reliable power
Traditional feeder reinforcement vs.
Establishing a Microgrid
2nd Use case: Managing a
Microgrid
Predictable performance through
improved solar power forecasting,
smoothing, aggregation of resources,
and scheduling & dispatch
Use Cases demonstrated in project
Two Use cases were pursued:
Copyright ©2016 OMNETRIC Group. All rights reserved. OMNETRIC Group confidential information. 15
OpenFMB is a reference architecture and framework for allowing distributed intelligent nodes to interact with each other.
Major Parts of Project
OpenFMB
Spectrum Power Microgrid Management System (MGMS) based on SP7 Platform from Siemens
Optimization
UTSA’s forecasting Applications using Sky Imaging technology to forecast Load and Solar PV generation
PV and Load Forecasting
Copyright ©2016 OMNETRIC Group. All rights reserved. OMNETRIC Group confidential information. 16
• Open Field Message Bus (OpenFMB) is a reference architecture and
framework for distributed intelligence
• Leverages existing standards to federate data between field devices
and harmonize them with centralized systems
Based on IEC’s Common Information Model (CIM) semantic data model
Internet of Things (IoT) publish/subscribe protocols
• DDS: Data Distribution Service
• MQTT: Message Queue Telemetry Transport
• AMQP: Advanced Message Queue Protocol
• Scales operations independently, without a system-wide rollout
Flexible integration of renewables and storage with the existing grid
Accelerates ability to stack operational benefits
• OpenFMB™ standard ratified in March 2016 by the North American
Energy Standards Board (NAESB)
• OpenFMB™ added to SGIP Catalog of Standards, March, 2017
OpenFMBTM
: The Catalyst for Interoperability
OpenFMB is a trademark of SGIP,
and is described in NAESB RMQ.26
Copyright ©2016 OMNETRIC Group. All rights reserved. OMNETRIC Group confidential information. 17
• Led by utilities (largest IOU, Muni, and Co-op) based on their priorities and
interoperability demonstration experience
• OpenFMB™ reduces latency and creates distributed intelligence opportunities to
manage local grids in the most efficient way based on local resources and conditions
• The data-centric bus secures information via data topic (analogous to securing data
in a database, table by table) instead (or in addition to) traditional method of
applying security at the transport layer
• OpenFMB™ enables grid devices to speak to each other, e.g. meters, relays, inverters,
cap bank controllers, etc.
• Enables legacy equipment to be retrofitted for new capabilities, features, and
extended life
• Facilitates data integration across previously siloed domains within the utility
How is OpenFMB different?
Copyright ©2016 OMNETRIC Group. All rights reserved. OMNETRIC Group confidential information. 18
OpenFMB architecture
Field Applications
Adapters
(Modbus, DNP3, ACSI, C12, IEC 61850,
XMPP, CoAP, Others)
OpenFMB Interface Layer
(Data Models and Profiles, Configurations, Interaction Patterns)
AMQP DDS MQTT
Other Pub/Sub
Middleware
Clients
Application
Layer
Interface
Layer
Pub/Sub
Layer
End
Device
1
End
Device
2
End
Device
3
OpenFMB is a trademark of SGIP,
and is described in NAESB RMQ.26
Copyright ©2016 OMNETRIC Group. All rights reserved. OMNETRIC Group confidential information. 19
OpenFMB™ Distributed Intelligence Framework
Smart
Meter
Capacitor
Bank
Line
Sensor
Battery
Inverter
DMS
Head Ends SCADA
Higher Tier Node
Central Office
(Utility Datacenter)
Common Semantic Model
Legacy Protocol Translation
Legend
Middle Tier Nodes
(e.g. substation)
Lower Tiers Nodes
(e.g. grid)
End Points
Devices
Legacy Protocol Adapter
Common Data Model Profile(s)
Open Field
Message Bus
Client/Server Polling
Pub/Sub Messaging
Firewall
Virtual Firewall
MDM M
- +
OpenFMB protocol
Legacy Protocol Adapter
Common Data Model Profile(s)
OpenFMB protocol
Legacy Protocol Adapter
Common Data Model Profile(s)
OpenFMB protocol
Breaker
Relay
Solar PV
Inverter
Mo
db
us
OpenFMB IoT Protocol
Legacy Protocol Adapter
Common Data Model
OpenFMB protocol
OMS GIS
A Field Bus that
improves
performance by
moving decision
making closer to
where decisions are
implemented
Copyright ©2016 OMNETRIC Group. All rights reserved. OMNETRIC Group confidential information. 20
OpenFMB: Federated Message Exchanges
Open Field Message Bus
Recloser /
Switch
Pub/Sub - Readings
KW A/B/C
KVAR A/B/C
V A/B/C
I A/B/C
frequency
Phase Angle A/B/C
KWh
TimeStamp
State of Charge
Pub/Sub - Events, Alarms, and Control
Trip / Open
TimeStamp
• Readings - Pub every 2 secs or near-real-time • Events – data-driven in near-real-time
Microgrid
Optimizer
Battery PV
Meter
Nodes
Copyright ©2016 OMNETRIC Group. All rights reserved. OMNETRIC Group confidential information. 21
Copyright © SGIP, Inc. 2016. CONFIDENTIAL. ALL RIGHTS RESERVED Page 21
OpenFMB: Framework Lifecycle
2016 Copyright © SGIP, Inc. CONFIDENTIAL. ALL RIGHTS RESERVED Page 21
Copyright ©2016 OMNETRIC Group. All rights reserved. OMNETRIC Group confidential information. 22
OpenFMB is a reference architecture and framework for allowing distributed intelligent nodes to interact with each other.
Major Components
OpenFMB
Spectrum Power Microgrid Management System (MGMS) based on SP7 Platform from Siemens
Optimization
UTSA’s forecasting Applications using Sky Imaging technology to forecast Load and Solar PV generation
PV and Load Forecasting
Copyright ©2016 OMNETRIC Group. All rights reserved. OMNETRIC Group confidential information. 23
What’s a Microgrid?
• Colleges/Universities
• Business Parks/Campuses
• Indian Reservations & Casinos
• Industrial Plants
• Military Bases
• Remote Communities
• Utility-owned
• Data Centers and other critical facilities
Microgrid
A scaled down power system that generates, distributes, and consumes electricity
locally. Microgrids may be grid connected with a point of common coupling, or
they may be isolated/islanded with no connection to a local utility.
Microgrid is any system with local generation and consumption of electricity
with defined boundaries that can be disconnected and operatd locally
Typical applications of a Microgrid
Copyright ©2016 OMNETRIC Group. All rights reserved. OMNETRIC Group confidential information. 24
Microgrid Architecture
Energy
Trading
SCADA
Load Forecast Generation
Forecast
Generation
Optimization
Frequency
Regulation Voltage Regulation
Load
Management
Archiving
Tertiary Control
Power Quality
Analyzer
Automatic
Islanding &
Resynchronization
Emergency
Demand
Response
Secondary Control
Power Quality
Distributed Energy Resources
Primary
Controller
Building
Management Energy Storage EVFMS
Fuel Cell Diesel PV
LTC Meters Breakers Coupling
Switch
Primary Power System Equipment
Local
Control SCADA
Advanced
Functions
Secondary
Control
Key:
Protocol
Conversion
Copyright ©2016 OMNETRIC Group. All rights reserved. OMNETRIC Group confidential information. 25
Spectrum Power MGMS architecture
Spectrum Power 7 SCADA Platform
Current
Operating
Plan
Generation Management
Load Shed
Reserve
Monitor
Generation
Control
Microgrid
Optimization
Module
Load and
Generation
Forecast
Information
Model Manager
Historical
Information
System
Voltage
Control
• More than a “microgrid
controller”
• More than an advisory
optimization software
• MGMS – EMS/SCADA for
microgrid
• Scaled down, microgrid-
customized version of
Spectrum Power 7
• Offers autonomous operation
i.e. without supervision
Copyright ©2016 OMNETRIC Group. All rights reserved. OMNETRIC Group confidential information. 26
MGMS Dashboard
Major Benefit: Single dashboard provides overall microgrid monitoring and
generation optimization control
Copyright ©2016 OMNETRIC Group. All rights reserved. OMNETRIC Group confidential information. 27
OpenFMB is a reference architecture and framework for allowing distributed intelligent nodes to interact with each other.
Major Components
OpenFMB
Spectrum Power Microgrid Management System (MGMS) is based on SP7 Platform from Siemens on a slow cycle for scheduling and dispatch
MGMS
UTSA’s forecasting Applications using Sky Imaging technology to forecast Load and Solar PV generation. Verified at NREL ESIF, now in test at CPS.
PV and Load Forecasting