This document summarizes smart grid initiatives in Vietnam and Thailand. It finds that both countries are focused on meeting increasing energy demands through transmission expansions and improving operational efficiency. Thailand's PEA leads smart grid initiatives with a roadmap including AMI deployment. Vietnam lacks a clear smart grid plan but is working to upgrade transmission infrastructure with foreign assistance. Barriers to smart grid development include weak policies, high costs, and lack of technical infrastructure. The document outlines typical approaches to phased smart grid deployments integrating meters, distribution automation, and enterprise systems.

1. Smart Grid Potential in Thailand &
Vietnam
ZVEI / GIZ, Frankfurt
14 November 2013
Anand Menon
CTO, Smart Grid, ASEAN
Siemens MY, Infrastructure & Cities Sector
© Siemens 2012

2. Energy systems worldwide are changing…
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3. IT Landscape
Pre- Smart Grid Utility Applications
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4. IT Landscape
Post- Smart Grid Utility Applications
ADM
S
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5. SMART GRID
ASEAN LINE-UP
Overall market observations and status
• South East Asian countries from Smart Grid Services perspective to be separated into:
FRONT RUNNERS: Run/prepare first pilots and
have clear goal of their AMI landscape
SIN
TH
MY
IDS
VIE
MYR
FOLLOWERS: Have plans for initiatives but are
impeded by regulatory, funding or economy
reasons
PHI
LAO
OBSERVERS: Do not invest now but might be
interested in the future years
• Siemens has a good footprint in all front running and follower countries, being engaged
within pilots or at least pilot discussions in all areas
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6. SOUTH EAST ASIA – SMART GRID
DRIVERS & FOCUS AREAS
SMART GRID AREAS CAN BE CLASSIFIED INTO FOUR CATEGORIES:
ENERGY DEMANDS
( 109 GW  280 GW)
POWER / TRANSMISSION
EXPANSIONS
T & D EFFICIENCY
(~10%, 2X ADV. GRIDS)
OPERATIONAL
EFFICIENCY
GRID RELIABILITY
SEA
ADV. nations
SAIFI
4
0.7/cus/yr
SAIDI
2-5
0.8hr/cus/yr
GRID OPTIMISATON
METERING / CUSTOMER MGMT.
( THEFT / BAD DEBT
NON-SUBSIDISED MARKET)
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EFFICIENT
ENERGY USAGE
Anand Menon
ZVEI/GIZ 2013

7. 2.4%
(D)
SUBSIDISED
VIETNAM- DRIVERS & FOCUS
6.2%
(T)
0.07
$/kWh
22.5 int/cust
110 GW
3.8 hrs
21 GW
2012
2030
SAIFI
PEAK DEMAND
SAIDI
T&D
LOSS
RETAIL PRICE
 EVN is vertical-integrated utility – 100 % T & D, 68% - Generation
 During the period 2011 – 2030, electricity demand is expected to rise by about 11%
year-on-year
 Hence, generation enhancement and developing transmission corridors are focus
 Yet to come out with a concrete Smart Grid plan
 World Bank assistance forthcoming towards Distribution network improvements
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8. 5.5%
(T)
4.6 int/cust
2.5%
(D)
SUBSIDISED
THAILAND- DRIVERS & FOCUS
0.11
$/kWh
1.4 hrs
54 GW
25 GW
2012
2030
SAIFI
PEAK DEMAND
SAIDI
T&D
LOSS
RETAIL PRICE
 EGAT owns transmission system and sells to PEA / MEA for distribution
 During the period 2011 – 2020, electricity demand is expected to rise by about 5%
year-on-year
 Although the core national policy emphasis is on meeting expected energy demands,
focus is laid on improving operational efficiency / reduce costs to offset subsidized
electricity price and high generating costs
 PEA leads Smart Grid initiatives with AMI road map, with planned spending upto
400b Baht ( USD 12.6b) over 16 years and integration of RE sources like solar
 MEA also in the process of piloting a Smart Grid project with Substation /Feeder
Automation
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9. Smart Grid deployment overview
SMART GRID INITIATIVES IN VIETNAM AND THAILAND:
TE
SA
DA
AMI
Plans
Ev RE
No Plans
VIETNAM
THAILAND
Deployment
Pilot
TE : Transmission Expansion
SA : Substation Automation
DA : Distribution Automation
AMI : Automated Metering Infrastructure
eV RE : Electric Vehicle and Renewable Energy
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10. Smart Grid Progress - THAILAND
 PEA : SG roadmap launch in Aug 2011, budget – USD 4b over 16 years, in three stages
 MEA : Focus on Power Distribution expansion and up-rating lines from 12kV to 24kV
 EGAT : Supports SG development by power purchase from IPPs ( DG ) & RE projects
AMI
Systems

PEA, Phase I, 2013 -2018
 AMI installation of 400k meters in 3 provinces and Pattaya
 Pattaya pilot to commence in mid 2014 with a 2-year timeline, 120k meters ( 3ph, 1ph)
 AMI coverage of 26 municipalities upto 1 million meters

Automation
Substation
Automation
Distribution
Energy Mgmt
Microgrids
PEA
 IEC60870-5-103 in current usage
 Plans to deploy IEC61850 in 2015
 MEA
 Automation using IEC60870-5-103 ( existing stations)
 30% of 115/69/24 kV s/s uses IEC 61850, balance 70% in next 10 years
 EGAT
 Plans to implement IEC 61850 in 230/115kV s/s in 2014

PEA, Phase I, 2013 -2018
 Completed a Control Centre project and aims to replace obsolete systems by 2016
 Micro grid developments with RE ( PV, Hydro), energy storage, Controller
 MEA
 Plans to replace their NCC, consultant employed, tender expected in early 2014
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11. Smart Grid Progress - VIETNAM
 2011 -2015, Power Generation – 22 projects, ~10 GW
 EVN focused on upgrading the national Transmission system
Trans.
Upgrades

2011-2015
 ~ 300 projects, for laying 15,000 kms of 500kV and 220kV lines
 ~ 20 Substation projects, totalling 16,000 MVA

Automation
Substation
Automation
Distribution
Energy Mgmt
Microgrids
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Since last four (4) years, all new substations at transmission level
are using IEC 61850 and numerical IEDs , both vertical
and horizontal ( GOOSE messages) communication
 Foreign assistance in developing Distribution Automation and SG infrastructure
 World Bank’s Distribution Efficiency project ( 2013 – 2018), USD 800m, focus on reduction
in electricity losses and optimised consumption thereby reducing GHG emission
- A : System Expansion B : SG technologies in Distr C : Tech. assistance / capacity build
- Demand Response program also in consideration
 EVN recently awarded contract to replace their National Control Centers
 EVN SPC utilising a WB loan of USD 20m is in the process of procuring a SCADA DMS
by mid-2014
 Other provincial utilities have plans to modernise their SCADA systems
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12. SOUTH EAST ASIA - SMART GRID
BARRIERS
 Weak policy and regulation
 Binding regulatory targets for smart grid deployments not yet in place
 Shortage of Government funds
 Utilities hard-pressed to absorb high up-front costs on smart grid investments and
transfer onto consumers
 Dynamic electricity pricing structures do not exist
 High Costs & Consumer awareness
 RoI and cost-benefit analysis not tangible towards investments
 Consumers are largely unaware of technology and are concerned on applications such
as smart meters with potential increased costs
 Technology barriers
 Lack of cost-effective communication or IT infrastructure
 In some instances, ground-level SCADA / DMS need to be installed prior to advanced
technology implementation
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13. Smart Grid development
SMART GRID INITIATIVES CAN BE CLASSIFIED INTO FOUR CATEGORIES:
Efficient energy
usage
Operational
efficiency
AMI
Systems
Automation
Substation
Automation
Distribution
CO2 Reduction
RE Integration
Reliability
Optimization
Energy Mgmt
Microgrids
Smart meters
MDM System
Demand Resp.
Billing, SAP
SCADA
Asset Mgmt
Pr & Control
IEC61850
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WAMS
Cond. Monitor
Volt/ VAR
Fdr. Auto
Solar , Wind, Biomass
PQ
MEM
EMS
DEMS
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Users
enterprise
Interfaces
OMS
Anand Menon
ROS
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14. Looking for innovative solutions?
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15. Significant changes in energy system require
a new Smart Grid infrastructure
Challenges in changing
energy system



Renewable and
distributed generation
Limited generation
and grid capacity
Aging and/or weak
infrastructure


Cost and emissions
of energy supply
Revenue losses, e.g.
non-technical losses
Load
management
& peak
avoidance



Reliability
through automatic outage
prevention and
restoration






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
Anand Menon
Smart Grid offers
solutions
Balancing
generation &
demand, new
business models
Efficient
generation,
transmission,
distribution
& consumption
Full transparency
on distribution
level and
automated loss
prevention
ZVEI/GIZ 2013

16. Thank you for your
attention!
© Siemens 2012

17. At the distribution level, changing in-feed patterns
due to local generation are challenging existing
grid infrastructure…
Weekly loading of a transformer station in the rural area
the LEW-Verteilnetz GmbH – 2003 and today
200
Load in kW
Load profile 2003
Load profile today
100
0
-100
-200
-300
12:00
12:00
0:00
12:00
0:00
12:00
0:00
12:00
0:00
12:00
0:00
12:00
0:00
12:00
0:00
Source: LEW
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18. TARGET ARCHITECTURE
Horizontal Layers…
EXISTING ENTERPRISE IT SYSTEMS
EXISTING DISTRIBUTION SPECIFIC IT SYSTEMS
SMART GRID RELATED DISTRIBUTION SPECIFIC IT SYSTEMS
EXISTING ENTERPRISE IT SYSTEMS – INTEGRATION LAYER
SMART GRID APPLICATIONS
COMMUNICATIONS
FIELD AND PREMISE INFRASTRUCTURE
Residential
Commercial and Industrial

19. Typical Customer Evolution….
Step 0: No Smart Meters
Background:
- Utility-specific applications to build,
maintain and operate networks and to
serve customers
- Meter data collected manually and
meter-read data is loaded directly into
customer’s CIS for billing
- For C & I customers, some form
of AMR may be present using
one way public cellular
communication networks
Customer
Information System
Work / Asset
Management System
Distribution and
Outage
Management
Geographical
Information
System
Existing
Enterprise IT
Network
Planning
Manual Meter
Reading Systems for
residential and C&I
Existing
Distribution
Specific IT
Existing
Enterprise IT
Integration Layer
Utility Goal:
- To move the Utility IT landscape
to a goal architecture supporting
several Smart Grid capabilities
Field Worker
Management
Automated Meter
Reading Systems for
C&I
Communications
M
Residential
M
M
Commercial and Industrial
M
Field and
Premise
Infrastructure

20. Final Step: Smart Meter to Smart Grid Transition
Smart Grid Goal Architecture
Customer
Information System
Work / Asset
Management System
Field Worker
Management
ADVANCED
Distribution and
Outage Mgmt.
Existing
Enterprise IT
Geographical
Information
System
Existing
Distribution
Specific IT
Network
Planning
Existing
Enterprise IT
Integration Layer
Smart Meter
Data
Management
Customer
Data
Portal
Smart Meter
Data
Analytics
Smart
PrePayment
Demand
Response
DG Control
Demand
Response
PQ
EV Control
Demand
Response
PQ
Int. S/s
Cond.
Monitor
Feeder
Automation
Smart Grid
Applications
Head End / Remote Device Management
Communications
PV
Panel
M
RTU
IHD
SENSORS
M
Controllable
Devices
Residential
IED
M
M
M
Controllable
Device
Controllable
Device
Commercial and Industrial
M
Distributed
Generation
RMU, Substation
Field and
Premise
Infrastructure

21. Typical Customer Evolution…
Step – wise Approach
Step 0
Step 1
Step 2
PQPILOT
PQSCALE-UP
PQ-ADMS
Integration
Step 0
Step 1
Step 2
Feeder
AutomationPILOT
Feeder
AutomationSCALE-UP
Feeder
AutomationADMS
Integration
Step 0
Step 1
Step 2
ISCMPILOT
ISCMSCALE-UP
ISCMAM TIE-UP
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22. Roll – Out Integration
Smart Meters with Functionality
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23. Combined Roll – Out Plan
Example…..
Phase 3
Contract-based DR
1,000,000
Phase 2
800,000
Meters Installed
Pre- Payment
DG Integration
EVC Integration
Energy Feedback
Price-based DR
Phase 1
200,000
Operational Analytics
Basic Meter-to-Cash
Distribution Integration
Adv. Meter-to-Cash
100,000
Phase 3
Functionality
20,000
5,000
Phase 1
Functionality
Phase 2 Functionality
0
0 mths
Roll out
5000
meters
1 mth
6 mths
Increase meter
Test phase 1
count to 20,000
functionality and
with phase 1
communications
functionality
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9 mths
Time
15 mths
Cutover all meter
Undertake 5000 meter
population to phase
pilot of phase 2
2 functionality and
functionality while
continue rollout up
continuing rollout on
to 200,000 meters
, phase 1 functionality Anand Menon
2013
18 mths
24 mths
26 mths
Undertake pilot of phase 3
functionality using different Cutover all meter
population to phase Functionality
set of meters while
and rollout
3 and continue
continuing to rollout of up
complete
rollout up to
to 800,000 meters on
1,000,000 meters ZVEI/GIZ 2013
phase 2 functionality