smart grid communications: requirements and...
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Smart Grid Communications:
Requirements and Challenges
Dr. Salman Mohagheghi
Department of Electrical Engineering and Computer Science
Colorado School of Mines
Golden, CO 80401
2/35Dr. Salman Mohagheghi
Jan. 13, 2015
� The grid has always been smart; however, it is now smarter
� The modern power grid is different from the traditional power
grid in several aspects:
� More data captured from across the grid
� More opportunities for remote control
� Open non-proprietary designs
� Access to more computational power
� Abundance of structured data
� More reliable and efficient communication networks
� To Summarize:
� Smart Grid is more about Creation, Transmission and
Utilization of Smart Data
Smart Grid – The Reality
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3/35Dr. Salman Mohagheghi
Jan. 13, 2015
� Renewable Energy Resources
� Introduce fast dynamics and stochastic variations
� Distributed across the power grid ⇒⇒⇒⇒ more volatility
� Introduce bidirectional flow of power
What Has Changed?
4/35Dr. Salman Mohagheghi
Jan. 13, 2015
� Higher Penetration of Sensors and Actuators
� Intelligent Electronic Devices (IED): provide phasor and
non-phasor measurements
� Advanced Metering Infrastructure: allow for remotely
connecting/disconnecting power, reading usage,
detecting outages, detecting power theft, enabling DR
� Almost all equipment and functions have the potential to
be automated
What Has Changed?
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Jan. 13, 2015
� Demand Responsive Loads
� Active consumers varying their consumption based on
the variable electricity rates
� Controllable loads through Home Energy Management
System (HEMS)
What Has Changed?
6/35Dr. Salman Mohagheghi
Jan. 13, 2015
� Mobile Energy Resources
� Moving vehicles able to charge (G4V) or discharge (V2G)
their batteries while in motion
� Parked vehicles being remotely charged/discharged
What Has Changed?
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Jan. 13, 2015
� More Connectivity
� Traditional utility networks connect control centers,
generators, and major substations
� Traditionally, distribution domain has limited
connectivity
� Enabling automated solutions require higher connectivity
across all domains
� More measurements are needed from across the
network
What Is Needed?
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Jan. 13, 2015
� More Granular Load Modeling
� Extract consumption and behavioral patterns for
individual customers
� Forecast demand beyond the service transformer
What Is Needed?
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Jan. 13, 2015
� Dynamic State Estimation
� Traditional state estimators provide the state of the
system under the assumption of quasi-steady-state
operation
� At the modern power grid we need to consider:
� Hybrid solution with GPS-synchronized (PMU) and
non-synchronized measurements
� Frequency dynamics and generator dynamics
� Also, if applicable/necessary:
� Three-phase analysis
� Harmonics
� Distributed state estimation
What Is Needed?
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Jan. 13, 2015
� Dynamic Dispatch of Energy Resources
What Is Needed?
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Jan. 13, 2015
� Wide Area Control
� Allows for coordination between FACTS devices and
generators
� Improves transient and dynamic stability
� Helps avoid voltage collapse and cascading failures
What Is Needed?
12/35Dr. Salman Mohagheghi
Jan. 13, 2015
� NIST has divided the smart grid into 7 domains
� Smart grid is a cyberphysical system that is achieved by
overlaying communication infrastructure with the electric grid
Smart Grid Conceptual Model
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Jan. 13, 2015
Communication Requirements and Characteristics
Transmission
Unicast
Multicast
Broadcast
Data Specs
Trans. Rate
Size
Data Priority
Impact if Lost
Quality
Latency
Validity
Accuracy
Integrity
Reliability
Packet Loss
ACK
Retransmission
Sequencing
Scalability
Upgradability
System Growth
Big Data
Low Cost
Deployment
Maintenance
Energy
Bandwidth
Availability
Redundancy
Self-Healing
Fault Tolerance
Security
Authentication
Encryption
Access Control
Confidentiality
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Jan. 13, 2015
� Smart Grid consists of a multitude of heterogeneous devices
that try to talk to each other across heterogeneous networks
� Interoperability is critical for seamless integration
� Information model and communication services need to be
understandable by all parties involved
� Solutions should be technology neutral
� Interoperability:
� Encourages competition
� Helps lower cost
� Helps improve design efficiencies
� Future Concept: Interchangeability (or substitutability)
Need for Interoperability
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Jan. 13, 2015
� Network Architecture
� A stack of layers and protocols
� Each layer offers certain services to the higher layers
while shielding them from how these services are
implemented
� Benefits:
� As long as the services are provided as specified, the
implementation of underlying layers can be changed
� New services that build on the existing services can
be introduced at any time
Need for Interoperability
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Jan. 13, 2015
Need for Interoperability
Open Systems Interconnection
(OSI) Reference Model
TCP/IP Reference Model
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Jan. 13, 2015
� Power Line Communications
� Idea: High-rate communication over the power lines
(data signal superimposed on the 60Hz component)
Communication Media
Low Voltage
Medium Voltage
18/35Dr. Salman Mohagheghi
Jan. 13, 2015
� Fiber Optics
� Are used for long-haul transmission network backbones,
high-speed LANs, high speed internet such as Fiber to the
Home (FttH)
� Unidirectional
Communication Media
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19/35Dr. Salman Mohagheghi
Jan. 13, 2015
� Cellular Networks
� Wireless coverage for a large number of fixed or mobile
devices over a large geographical area
� Utilities have been using these networks to connect their
assets, for mobile workforce, or for metering
� Third Generation: Digital Voice and Data; CDMA
� Fourth Generation: High BW, connectivity everywhere,
seamless integration with other wired/wireless IP
networks, adaptive resource and spectrum management
Communication Media
20/35Dr. Salman Mohagheghi
Jan. 13, 2015
� WiMAX/IEEE 802.16
� Offer multi Mbps wireless communication; sometimes
referred to as Wireless MAN or Wireless Local Loop
� Uses OFDM to fight delay, MIMO for increased BW
efficiency and adaptive modulation for robustness
� Can operate with NLOS
� Initially, for stationary users (IEEE 802.16d), but now
enhanced to allow mobility at vehicular speeds (IEEE
802.16e)
Communication Media
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21/35Dr. Salman Mohagheghi
Jan. 13, 2015
� Satellite Networks
� Ideal for remote control/monitoring of rural and isolated
sections and for data collection from PMUs
� Can be a safe backup system for the terrestrial network
Communication Media
22/35Dr. Salman Mohagheghi
Jan. 13, 2015
� Wireless LAN (Wi-Fi/IEEE 802.11)
Communication Media
Upper Layers
MAC Sublayer MAC Sublayer MAC Sublayer MAC Sublayer MAC Sublayer
802.11 (legacy)
FHSS and Infrared
“now obsolete”
(Released 1997 –
1999)
802.11a
Up to 54Mbps
5GHz ISM
OFDM
(Released 1999)
802.11b
Up to 11Mbps
2.4GHz ISM
Spread Spectrum
(Released 1999)
802.11g
Up to 54Mbps
2.4GHz ISM
OFDM
Compatible with
11b
(Released 2003)
802.11n
Up to 600Mbps
MIMO OFDM
(Released 2009)
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23/35Dr. Salman Mohagheghi
Jan. 13, 2015
� ZigBee
� Wireless PANs (developed by IEEE 802.15)
� Requires short distance communications (tens of meters
range) and focus on long-lasting battery life and low cost
� The key features of the standard are:
� Uses CSMA/CA
� Built on top of the physical/MAC layers specified in
802.15
Communication Media
24/35Dr. Salman Mohagheghi
Jan. 13, 2015
� Hybrid Solutions
� Need to combine the existing communication networks
with more advanced solutions
� Instead of redundant designs to provide robustness, one
can combine different technologies (wired and wireless)
� Example: SEP 2.0 protocol supports ZigBee and
HomePlug
Networking Solutions
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25/35Dr. Salman Mohagheghi
Jan. 13, 2015
� Wireless Sensor Networks
� Idea: Network of small and cheap nodes that are capable
of sensing, communication and computation
� Provide means for real-time distributed sensing
� Provide real-time information to the utility
� Are a cost-effective low-power solution for remote
monitoring
� Allow the utility to diagnose developing problems early
� Allow the utility to dynamically control the grid and
dispatch the energy resources
Networking Solutions
26/35Dr. Salman Mohagheghi
Jan. 13, 2015
� Sensor and Actuator Networks (SANETs)
� Used for both monitoring and control
� Enable closed loop control in a centralized or
decentralized manner
� Sensors: current, voltage, power, temperature, vibration,
position, motion/occupancy, etc
� Actuators: breaker, switch/contactor, valve, motor,
dimmer, HEMS display/monitor
Networking Solutions
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27/35Dr. Salman Mohagheghi
Jan. 13, 2015
� Machine-to-Machine (M2M) Communications
� A network of devices that communicate with one
another without human intervention
� Main Driver:
� A large number of devices performing autonomous
control and monitoring tasks in a usually unattended
field environment
� Required Features:
� Scalability, energy efficiency, autonomous operation,
mobility, remote operation, relatively low data rate
(up to 100s of kbps), hard real-time requirements,
high security (since devices are remote and
unattended)
Networking Solutions
28/35Dr. Salman Mohagheghi
Jan. 13, 2015
� Public vs. Private Networks
� Public networks are more affordable
� Involving multiple public providers can improve fault
tolerance or extend coverage
� Private networks addresses utility concerns regarding
reliability, security, availability and lack of control
� Utilities are also concerned that their devices may not be
able to keep up with the fast rate of technology change in
public networks and may become obsolete
Networking Solutions
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29/35Dr. Salman Mohagheghi
Jan. 13, 2015
� IP-Based Networking
� Smart Grid networks are expected to be based on IP
� IP is scalable, interoperable and robust
� IPv6 provides means for unique identification of devices
(128-bit vs. 32-bit addressing)
� Internetworking: Multiprotocol Label Switching (MPLS)
allows for integration of multiple heterogeneous
networks
� IPv6 has IP Security (IPSec) authentication which is
complex and resource intensive
� 6LoWPAN: recommendations by Internet Engineering TF
for efficient use of IPv6 for low power, low cost wireless
devices
Networking Solutions
30/35Dr. Salman Mohagheghi
Jan. 13, 2015
� Compressive Sensing
� Idea: Exploit temporal and spatial correlation of data to
avoid unnecessary data transmission or excessive
measurements
� Helps reduce energy consumption and usage of
computational resources
� Allows to achieve the same performance by deploying
less sensors
� Provides selective data transmission that saves BW and
avoids data bottleneck
� Example: measurements in solar parks and/or wind
farms using the correlation temporal/spatial correlations
in irradiance and/or wind speed
Networking Solutions
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31/35Dr. Salman Mohagheghi
Jan. 13, 2015
History of Communication Systems
Phase Years Characteristics Architecture Media Standards
Proprietary
Systems
Before
1985
Single vendor
Basic data collection
Hierarchical
Isolated
systems
RS232/485
Dial-up, PLC,
Trunked radio
< 1200bps
Modbus
SEL
WISP
Early
Standards
1985–1995 Multi-vendor
Protocol conversion
Hierarchical
Redundant
links
Leased lines
Packet radio
9.6-19.2kbps
DNP3 serial
IEC 60870
TASE 2
Area
Networks
1995–2000 Substation LAN
Merging protection
and SCADA
Peer-to-peer in
substations
Joining
substations via
WAN
Ethernet
Spread
spectrum radio
Mbps rates
TCP/IP
DNP3
WAN/LAN
UCA 2.0
Telnet
Business
Integration
After 2000 Merging automation
and business
Corporate IT
Asset management
Link WANs to
corporate
networks
Customer
premises
Digital cellular
WLAN
Gbps rates
TCP/IP
IEC 61850
XML
Adopted from E. Hossain, Z. Han and H.V. Poor, Smart Grid Communications and Networking, Cambridge University Press,
2012
32/35Dr. Salman Mohagheghi
Jan. 13, 2015
� Conserving Power and Bandwidth
� Use compressive sensing to avoid unnecessary data transmission
� Use data compression and data aggregation
� Adopt decentralized control rather than centralized control
� Coordinated control between different devices to avoid unwanted
interactions and excessive control effort
� Use low-complexity control algorithms for distributed controllers
� Use low-complexity communication protocols
� Power harvesting
Existing Challenges
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33/35Dr. Salman Mohagheghi
Jan. 13, 2015
� Security
� Every sensor, actuator, controller, component can be potentially
used by intruders to attack the grid
� Attack can be ongoing without the utility noticing it
� Risk = Probability of Threat ×××× Impact
Risk = Pr(Threat) ×××× E[Impact | Vulnerability] ×××× Pr(Vulnerability)
� Risk Management
� Identify vulnerabilities and potential consequences
� Assess risk scenarios quantitatively or qualitatively
� Develop mitigation strategies
� Implement mitigation strategies based on risk priority
� Need to develop accurate cyber-physical models
Existing Challenges
34/35Dr. Salman Mohagheghi
Jan. 13, 2015
� Privacy
� Who is after the consumer’s data?
� Industries – marketing products through extracting
consumption patterns
� Social Networking Websites – selling your data in exchange for
(not necessarily essential) services
� Burglars – spying on the occupants based on energy
consumption or charge/discharge patterns of EVs
� Hackers – identity theft
Existing Challenges
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35/35Dr. Salman Mohagheghi
Jan. 13, 2015
� A.S. Tanenbaum and D.J. Wetheral, Computer Networks, 5th Ed., Prentice
Hall, 2010
� L.T. Berger and K. Iniewski, Smart Grid – Applications, Communications
and Security, John Wiley, 2012
� E. Hossain, Z. Han and H.V. Poor, Smart Grid Communications and
Networking, Cambridge University Press, 2012
References