siemens - omnetric group: industry day workshop · siemens – omnetric group: industry day...

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.


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


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


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


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


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


• 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:


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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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


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:


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


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:


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


• 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


• 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?


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


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



OpenFMB protocol



OpenFMB protocol

Breaker

Relay

Solar PV

Inverter

Mo

db

us

OpenFMB IoT Protocol


Common Data Model

OpenFMB protocol

OMS GIS

A Field Bus that

improves

performance by

moving decision

making closer to

where decisions are

implemented


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

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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



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


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


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


MGMS Dashboard

Major Benefit: Single dashboard provides overall microgrid monitoring and

generation optimization control



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.


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