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EPSLAB Energy & Power System Laboratory
Virtual Power Plant (VPP)-Integration of Distributed Energy Resources
Presenter: Professor Hong-Tzer Yang
Affiliation: Dept. of E.E., NCKU, Taiwan
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2EPSLAB Energy & Power System Laboratory
Developments of Smart Grid
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3EPSLAB Energy & Power System Laboratory
Power System Energy Dispatch
Day-ahead (DA)
Market
Real-time (RT)Market
Dynamic voltage/freq.
control
1s~ ms5~15 minsday responding time
energy trading
Scheduling
Balancing
Ancillary Service
load forecasting
scheduled power
actual load
scheduled power
Forecasting Error
actual load
scheduled power
Unbalancing
Unexpected Tripping of RE
actual load
scheduled power
Unexpected Tripping
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4EPSLAB Energy & Power System Laboratory
Energy Meters Communication Decision making/ Services
Home Automation
Network
Local area
network, i.e.
PLC, WiFi,
ZigBee
Aggregator
Wide Area Network, i.e.
GPRS/3G, WiMax,
Optical fiber
Data Management
System
Energy Control Platform
PMU (Phasor Measurement Unit)
Smart Meters
FTU (Feeder Terminal Unit)
Communication
Equipment
Transmission and
Distribution Control and
Management Devices
Electrical System
Supplying Optimization
Advanced Metering Infrastructure -AMI
Generation
Transmission
Distribution
Load Smart Appliances
Power Plant
Management System
Load Shedding/
Energy Saving
Transparent Energy Information
Real-time Demand Analysis
Optimized Electricity Dispatch
http://www.tradekorea.com/product-detail/P00014065/Feeder_Protection___Control_Relay.htmlhttp://www.tradekorea.com/product-detail/P00014065/Feeder_Protection___Control_Relay.html
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5EPSLAB Energy & Power System Laboratory
Southern California Edison
Meter (AMI) is the interface
between customer loads and
energy management systems
and the grid
Data Center
In Data Center:
Billing/Customer service
Distribution automation
Energy management
Outage management
Smart HomeAMI
ADAS
80kW
Diesel
Generator Microgrid System
PCC
Advanced Distribution
Automation System
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6EPSLAB Energy & Power System Laboratory
Integration between the VPP and Grid Operators
Ref: Deliverable D1.3, “Identifying EV smart control approaches under a VPP management”, EU project on MERGE,
http://www.evmerge.eu/images/stories/uploads/MERGE_WP1_D1.3_Final.pdf, Access on 22 March 2011.
Market
HEMS
PV HouseLoad
EV
private area
smartmeter
SM
EV Charging
Point
DG Unitpublic area
SM
Energy Storage System
SM
EV
SM
P/S P/S
TSO
DSO VPP
GENCO
BEMS
DGUnit
LoadESS
private area
SM
Integration of Distributed Energy Resources
VPP: Virtual Power Plant
http://www.evmerge.eu/images/stories/uploads/MERGE_WP1_D1.3_Final.pdf
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7EPSLAB Energy & Power System Laboratory
Integration of
Distributed Energy Resources
(DER)
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8EPSLAB Energy & Power System Laboratory
OLTC
Substation
Distributed Generator
Energy Storage
system (ESS)
PV system
Smart meter
Load
Wind power system
DDCC
ICCP
Comm link
SCADA/DMS
ADAS
Comm. link
Modbus/TCPSocket/TCP
Dataprocessing
ApplicationData Base
Distribution System analysis
Energy Dispatching Optimization
Substation-EMSDigsilent Powerfactory based system model
HMI
SCADA
Comm. link
Dataprocessing
ApplicationData Base SCADA
DNP 3.0/ IEC 61850
DER Dispatching Optimization
DER generation cost analysis
DER-EMS
HMI
OpenADR 2.0
Comm. link
Dataprocessing
ApplicationData BaseSCADA
HMI
DER Dispatching Optimization
DER generation cost analysis
DER-EMS
ADR Server
Building Energy Management System (BEMS)
Home Energy Management System (HEMS)
Ethernet
B(H)EMS Gateway
Demand Response Control
Optimal control of household
appliances
Home Area Network
(HAN)
B(H)EMS
Appliances
HMI
OpenADR 2.0
Energy Conversion and Communication Interface (ECCI)
Comm. interface
Power electronics interface
Real/ reactive power control
ECCI
ADR Server
Regional Load Forecasting
Renewable Generation Forecasting
DNP 3.0/ IEC 61850
DNP 3.0/ IEC 61850Ethernet
Integrated Applications of DERs
Substation EMS
DER-EMS DER-EMS DER-EMS
DERDER DER
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9EPSLAB Energy & Power System Laboratory
DER-EMS & Substation EMS Architecture
PV
WT
EV Charging
Center
HEMS
BEMSESS
ESSFC
PV
PVPV
PV
Micro-Turbine
DER-EMS 2
DER-EMS 1
DER-EMS 3
Substation EMS
SubstationADAS EMS: Energy Management System
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10EPSLAB Energy & Power System Laboratory
DER Energy Dispatching System
0:00 4:00 8:00 12:00 16:00 20:00 24:000
500
1000
1500
2000
2500
3000
3500
4000
Date
Pow
er
Consum
ption (
Watt
s)
Non-Schedulable Load Forecast of a Typical Large House on July 10th
Actual Data
Forecasted Data
Load and Renewable Generation Forecasting
0:00 4:00 8:00 12:00 16:00 20:00 24:000
5
10
15
20
25
30
35
40
45
50
Time
PV
Out
put
Pow
er (
W)
PV Output Power of a SP75 Module
Forecasting Error Probability Distribution and Risk Managements
Substation Power Dispatch Optimization
Algorithms
DIgSILENT BasedPower Flow Analysis
DER-EMS Optimal Dispatch and Scheduling
Algorithms
0 5 10 15 20 250
100
200
300
400
500
600
700
data1
data2
data3
data4
data5
data6
data7
data8
0 5 10 15 20 250
100
200
300
400
500
600
700
data1
data2
data3
data4
data5
data6
data7
data8
0 5 10 15 20 250
100
200
300
400
500
600
700
data1
data2
data3
data4
data5
data6
data7
data8
0 5 10 15 20 250
100
200
300
400
500
600
700
data1
data2
data3
data4
data5
data6
data7
data8
PV
FC
DG1
DG2
DG3 DR
grid
Total Load
0 5 10 15 20 250
100
200
300
400
500
600
700
data1
data2
data3
data4
data5
data6
data7
data8
0 5 10 15 20 250
100
200
300
400
500
600
700
data1
data2
data3
data4
data5
data6
data7
data8
hour of day
7
6
5
4
3
2
1
0
po
wer
(M
W)
30 40 50 600.4
0.5
0.6
0.7
0.8
0.9
50 100 150 2000
2
4
6
8
20 30 40 50 600.2
0.4
0.6
0.8
1
1.2
50 100 1500
1
2
3
4
DG_1
DG_2DG_3
FC
$/h
Power (kW)
DER Generation Cost Analysis
Analysis of Distribution System Reliability, Security, and Power Quality
DG
DR
ESS
DR Program
Substation-EMS Level
DER-EMS Level (Aggregator/ESCO)
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11EPSLAB Energy & Power System Laboratory
Demonstration System
• Building Taipower Research Institute DER-EMS System
and Technical Verification
Automated Demand Response
Smart building energy management system
Microgrid demonstration system
250kW
PV, WT,Diesel generators, Micro-turbines
Substation-EMS Energy dispatch
decision-making platform
DER-EMS optimal
decision-making
platform
H(B)EMS
Power conversion interface
Power conversion interface
ADRS
ESS
DG
H(B)EMS
H(B)EMS
IEC 61850
DNP 3.0
P,Q output control
DR controlLoad saving control
OpenADR 2.0
Utility side
Electricity market programs
BEMS
Diesel-Engine Generator
PV
PV
ESS Wind-turbine
IEC 61850
DNP 3.0
(ESCO/Aggregator)
(TPRI)
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12EPSLAB Energy & Power System Laboratory
Demonstration System250kW energy storage
PV smart inverter
SCADA Server
System topology
BSS/Diesel
RTU DI/DO
PV 3 & 15kW
Diesel 50kW
10kW wind turbine
SS3 high-voltage meterControl box
SCADA andUI
Microgrid Demonstration
BEMS and Smart Meters
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13EPSLAB Energy & Power System Laboratory
Home (Building) Energy
Management System
H(B)EMS
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14EPSLAB Energy & Power System Laboratory
HEMS in a Smart Grid Architecture
感測器
人機控管介面
AMIEV
小型再生能源
Home Gateway
智慧手機
AMI
LAN
資料收集器 WAN
AMI
Control Center
Advanced Distribution
Automation System
(ADAS)
AMI System
DC and AC
Microgrid
Data Center
Leading Project on Power
Energy Management System of
Smart Home (Building)
Sensor
Smart phone
Home Gateway
EV
User and machine control system
Residential Renewable Energy Systems
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15EPSLAB Energy & Power System Laboratory
Air-conditioner Fuzzy Control
Cold Hotmedium
29.5o24.5o
32o22o
Calculate HI
ValueTemperature
and humidity
1.5/kWh 2.5/kWh
4/kWh2/kWh
medium Cheap Expensive
Electricity Tariff
regulatable
26℃ 27 ℃ 28 ℃ 關
0 0.25 0.5 0.75 1
Cold medium Hot
Cheap 28 27 26
medium OFF 28 27
Expensive OFF 28 28
Fuzzy Rule
Home Gateway
Zigbee module
Zigbee
IR
behavior learning
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16EPSLAB Energy & Power System Laboratory
Home/Building Energy Scheduling
Min (Cost)
Subject to :
Comfort levels
Security
0 10 20 30 40 500
1000
2000
3000
4000
5000
Time (30min)
Pow
er
Co
nsum
ption
(W
atts) Scheduled Loads of a Typical Medium House
0 10 20 30 40 500
1000
2000
3000
4000
5000
Time (30min)
Pow
er
Co
nsum
ption
(W
atts)
Scheduled Loads of a Typical Medium House
Base Load
Stove
Refrigerator
Freezer
Air-Conditioner
Clothes Dryer
Clothes Washer
Dishwasher
Electric Water Heater
Electric Vehicle
0 2 4 6 8 10 12 14 16 18 20 220
0.5
1
1.5
2
2.5
3
3.5
4
Time (hour)
Pri
ce
($
/kW
h)
Proposed Time-of-Use PriceTime-of-use
0:00 4:00 8:00 12:00 16:00 20:00 24:000
500
1000
1500
2000
2500
3000
3500
4000
Date
Pow
er
Consum
ption (
Watt
s)
Non-Schedulable Load Forecast of a Typical Large House on July 10th
Actual Data
Forecasted Data
Residential load forecasting result
Optimization solving methods:
particle swarm optimization (PSO)Simulated Annealing (SA)Genetic Algorithms (GA)
Optimization objective
0:00 4:00 8:00 12:00 16:00 20:00 24:000
5
10
15
20
25
30
35
40
45
50
Time
PV
Out
put
Pow
er (
W)
PV Output Power of a SP75 Module
Renewable energy generation forecasting
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17EPSLAB Energy & Power System Laboratory
User Interface Design – Web Based
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18EPSLAB Energy & Power System Laboratory
User Interface Design
Appliances Control Renewable Energies and Forecasting
Air-Conditioner Control Load Scheduling
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19EPSLAB Energy & Power System Laboratory
Suggestions of Load Scheduling
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20EPSLAB Energy & Power System Laboratory
BEMS Demonstration System
Auto-curtains Temp., humidity,and CO2 sensor
Illuminance sensor
Motion detector
Smart Meeting Room
BEMS user interface
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21EPSLAB Energy & Power System Laboratory
Automatic Demand Response
(ADR)
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22EPSLAB Energy & Power System Laboratory
Evolution of Demand Response Systems
•Demand Response (DR)•Auto-Demand Response (ADR)•Open Automated Demand Response (OpenADR)
DR
ADR
OpenADR
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23EPSLAB Energy & Power System Laboratory
Automated Demand Response Systemsand OpenADR Standards
23
Operator
Demand management operator
(Power company or
Wholesale industry)
VTNAutomated Demand
Response Server (ADRS)
N N N N N N N N N N N N
XML
Internet
Internet
XML
Using SOAP/REST
Web Service way
Send XML message
XML
OpenADR 2.0
ADR Aggregators
Site Server
OpenADR 2.0
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24EPSLAB Energy & Power System Laboratory
BEMS-integrated Auto-DR System
•Development of VEN pull-mode system according to Open ADR 2.0a and 2.0b
–Meet Open ADR 2.0a and 2.0b consistency regulation
–Pass and obtain the VEN pull-mode certification• VEN Pull Positive/Negative Test Scenarios
• VEN Pull Security Test Scenarios
• Transport Test Cases
• Interface with BEMS for DR control– Integrated Testing with the EMS developed
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25EPSLAB Energy & Power System Laboratory
AMI and Demand Response Framework
•AMI meters installed in Taipower test site
•Automatic Demand Response Server (ADRS)
•Energy Management System (EMS)
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26EPSLAB Energy & Power System Laboratory
Automatic Demand Response
200 kW200 kW
當有事件時,預設選項
190 kW190 kW
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27EPSLAB Energy & Power System Laboratory