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D2-01_08D2-01_08
Approaches to Smart Grid Communications Approaches to Smart Grid Communications
Networks in Japanese Electric Power CompaniesNetworks in Japanese Electric Power Companies
Naomasa Takahashi
Kyushu Electric Power Co., Inc.
Japan
Yoshifumi
Tada Juniper Networks, K.K.
Japan
CIGRE SC D2 ColloquiumCIGRE SC D2 ColloquiumNovember 2013November 2013
Mysore - KARNATAKA – INDIAMysore - KARNATAKA – INDIA
Kenichi Takahashi
Hokuriku Electric Power Co.
Japan
Kazutaka Shimoosako
Furukawa Electric Co., Ltd.
Japan
p2Background and Purpose
Undertakings aimed at achieving the early introduction of smart meters
=> Realization of functions such as automatic meter reading and demand response
Combination of multiple field area network communications systems depending on the area
- From the standpoint of elements such as area characteristics, the economic aspect and construction speed
Examples of the undertakings by Japanese electric power companies - Verification testing using the multihop wireless system - Example of introduction of smart meters using the power line
communication system
p3Multihop Wireless System
Item Specification
Testing Details
Verification of the success rates
・ Remote Meter Reading・ Remote Control
Test Period December 2011 to March 2013
Test Area 780m x 380m
Geographical Features
Urban neighborhoods (Mixture of detached houses and apartment buildings)
Number of installed meters
500
Verification Testing Overview
Pole-mounted Base StationOffice
Control Terminal
VerificationServer
Communi-cationsNetwork
Fiber-opticLine
New Meter
Verification Testing System Configuration
Communi-cation Unit
Overview (Hokuriku Electric Power Company) Verification testing using 900 MHz-band specified low power radio Verification items are…
- Stability of the automatic meter reading system- Effects on data transmission of obstacles
such as accumulations of snow typical in the Hokuriku area
p4Multihop Wireless System
Results High success rates were verified during the test period.
Remote meter reading: 99.926% Remote control: 98.212%
Practically acceptable levels of performance by recovery processing such as re-acquisition of data in the event of failures
No impact on the success rates caused by weather phenomena such as snowfall or lightning
Success Rates of Remote Meter Reading and Remote Control
Evaluation Items Test Results
Remote
Meter
Reading
Total number of remote meter readings
( Total number of missing readings )6.06 million
( 4,474 )
Success rate 99.926%
Remote
Control
Total number of remote controls
( Total number of failures )100 thousand
( 1,786 )
Success rate 98.212%
p5Power Line Communication System
Example of Introduction (Kyushu Electric Power Company)
Trial introduction of smart meters in 2010. - More than 40,000 households (in apartment buildings in urban areas).
*This system is applied in locations that radio waves cannot reach, such as pipe shafts in which smart meters are installed in large-scale apartment buildings.
Example of Remote Meter Reading System Configuration
Office
Communications Network
Automatic Meter Reading Server
Apartment Building, etc.
PLC Repeater
Power Line
Smart Meters
Fiber-optic Line
p6Power Line Communication System
Evaluation Increases in the number of smart meters deployed have presented
the risk of degraded network quality.
[ Problems ]• Limits on the number of units imposed by the Ethernet standard• Broadcast frame• Expansion of the range of effects of failures
Layer 2 network => Layer 3 network (the PPPoE method) in 2012 => The above problems were resolved.=> Stable network operation ( “closed” network with “stability and “expandability.” )
Layer 3 Network using the PPPoE Method
Communications Network
BAS
RouterOptical Network
Unit
PLCRepeater
Pole-mounted BOX
Smart MeterOptical Network
Unit
Automatic Meter
Reading Server
Layer 3 (IP) Network Section PLC Section
*PPPoE: Point-to-Point Protocol over Ethernet
*BAS: Broadband Access ServerPPPoE Section
p7
Proposal of Operation and Management Method for Field Area Networks
Concerns regarding Management of Wireless Base Stations Increasing complexity of operation and management (As the deployment of smart meters expands, the number of wireless
base stations installed will grow.) [ Items that need to be optimized ]
Asset and configuration managementAuthenticationHealth check
System Configurations
A
SM SM
A
SM
SM
SM
Operator
AuthenticationServer,
(AD, LDAP, etc.)
Authentication
WirelessController
A
SM SM
A
SM
SM
SM
Operator
Operation, Management &Authentication
Operation&
Management
AuthenticationServer,
(AD, LDAP, etc.)
Authentication
Smart Meter
Wireless Access Point
Operation&
Management
SM
A
System Configuration without Wireless Controller
System Configuration with Wireless Controller
=> “Wireless controller ”
p8
Proposal of Operation and Management Method for Field Area Networks
Beneficial Effects of Introduction Asset and Configuration Management
No need to change to individual devices separately- Functions that enable batch updating of software of wireless slave
devices and batch changing of their configurations
=> Major reductions in work time
AuthenticationBatch inquiries made to the authentication server, and centralized management of authentication statuses and unauthorized accesses
=> Elimination of complexity in operation and management
Health CheckCentralized management of the wireless communication quality and soundness of devices, and constant monitoring that enables immediate detection of abnormalities
=> Improvements in overall wireless system quality
p9Conclusion
This presentation has introduced undertakings relating to field area networks as approaches to smart grid communications networks in Japan.
[Multihop Wireless System]Verification testing using the automatic meter reading system was conducted and the results demonstrated that performance was of practically acceptable level.
[Power Line Communication System]Smart meters using this system have already been deployed in more than 40,000 households. Measures enable stable and expandable network construction and operation.
A wireless controller that enables efficient operation of the multihop wireless system has been proposed.
p10
Thank you !
Next:Answers to the Special Report Questions
p11Special Report Q1.33
Q1.33How does the test results can be scaled down as a reference to the other pilots?Are there any efforts on standardizing such cases?
- This verification testing was performed under severe winter conditions with heavy snow, for example.
Therefore, the test period can be reduced to a year (one cycle) or less in areas where climate changes are minor.
- In addition, the number of meters can be reduced according to the purpose of the verification testing.
- The main purpose of the verification testing of the multihop system was to carry out assessment of stability on a scale of about 500 meters.
- Because this testing was performed under environmental conditions typical in the Hokuriku area, it will be necessary to acquire a great deal of knowledge and carry out verification from diverse perspectives in order to achieve standardization.
p12Special Report Q1.34
Q1.34Please explain the factors considered for defining the success rate of implementing both multihop wireless and PLC systems?
<Definition of the success rates>- Remote meter reading: Rate at which the automatic meter reading
system can successfully collect meter readings transmitted by each meter every 30 minutes
- Remote Control: Rate at which the automatic meter reading system can successfully receive response data from meters when it sends data requests to the meters
<Example of target performance values>- Success rates for remote meter reading: 90 percent or more within 30
minutes and 99.95 percent or more within 48 hours- Failure rates for remote control : One percent or less probability of two
consecutive failures
p13
Thank you again !
Kyushu Electric Power Co., Inc.
Juniper Networks, K.K.