Sustainable Integration of Renewable Energy Sources (Solar ...
Integration of Renewable and Green Energy Sources in Electric ...
Transcript of Integration of Renewable and Green Energy Sources in Electric ...
Integration of Renewable and Green Energy Sources in Electric Power Systems
Ali Keyhani, Professor,
The Ohio State [email protected]
The Ohio State University Mechatronics –Green Energy Laboratory
08/06/10The Ohio State University Mechatronics –
Green Energy Laboratory [email protected]
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Outline of the Talk
Historical Perspective –
Problem Statement
Cyber-Controlled Smart Grid Systems of the Future
EducationResearch
08/06/10The Ohio State University Mechatronics –Green Energy
Laboratory [email protected]
Source of Data: BP (2000). Statistical review of world energy. BP, London. Available at http://www.bp.com/Statisticalreview
08/06/10The Ohio State University Mechatronics –
Green Energy Laboratory [email protected]
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Source: Energy Information Administration, U.S Department of Energy (DOE), U.S Data History, Available at http:// www.eia.doe.gov/
08/06/10The Ohio State University Mechatronics –
Green Energy Laboratory [email protected]
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Source: Energy Information Administration, U.S Department of Energy (DOE), U.S Data History, Available at http:// www.eia.doe.gov/
Energy Sustainability Discussion
Primary Energy : All We Use Comes from the Sun. Energy sustainability requires use of resources at the same rate at which they are naturally replenished on earth without externalities.”
Source : BMW Group, 2000
08/06/10 [email protected]
Energy Sustainability DiscussionEarth at night - 2007
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Production of CO2 Since 1700
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Energy Sustainability Discussion
Proven Energy Resources around the world
Petroleum Natural Gas Coal
Region 2002 preserved Resources (10^9 bbls)
R/P (years)
2002 proved Reserves (10^12 SCF)
R/P years 2002 preserved Reserves (10^9 tonnes)
R/P
(years)
North America 49.9 10.3 252.4 9.4 257.8 240
S. & Cent.America 98.6 42 250.2 68.8 21.8 404
Europe & Eurasia 97.5 17 2155.8 58.9 355.4 306
Middle East 685.6 92 1979.7 >100 ???? >500
Africa 77.4 27.3 418.1 88.9 55.3 247
Asia Pacific 38.7 13.7 445.3 41.8 292.5 126
World 1047.7 40.6 5501.5 60.7 984.5 204
Reserves-to-production (R/P) : R/P ratios represent the length of time that those remaining reserves would last if production were to continue at the previous year's rate. It is calculated by dividing remaining reserves at the end of the year by the production in that year.
BP website – www.bp.com08/06/10 [email protected]
Speculate for Possible Solution• We need to stop and control the exponential
growth CO2 , level it and then reduce it .
• We need to develop a sustainable modern industrial society. How?
• Efficiency. Every Energy user---an energy producer
• Everyone must have a skin in the game.
• Smart Grid: “Real Time Pricing”
• Distributed Generation Systems (DG)
08/06/10The Ohio State University Mechatronics –
Green Energy Laboratory [email protected]
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This map represents smart meter deployments, planned deployments, and proposals by investor-owned utilities and some
public power utilities. http://www.edisonfoundation.net/IEE. As of this writing, approximately over sixty million customers have
been equipped with a smart meter.
08/06/10 12The Ohio State University Mechatronics –Green Energy Laboratory
08/06/10The Ohio State University Mechatronics –
Green Energy Laboratory [email protected]
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Cyber-Controlled Smart Grid Systems of the Future
08/06/10
The Ohio State University Mechatronics –Green Energy Laboratory
RFCTransmission
System
Sub Transmission
MRG
MRG
MRG
MRG
MRG
MRGMRGMRG
CFP
CFP
CFP
CFP
CFP
CFP
CFP
CFP
CFP: Cyber Fusion Point
MRG: Micro-grid Renewable Green Energy System
n 2
3
4
j
Sub Transmission
1
5k
A Cyber-Controlled Smart Grid of the Future with High Renewable and Green Energy
08/06/10The Ohio State University Mechatronics –
Green Energy Laboratory [email protected]
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Power Market
MRG
MRG
Cyber System
Router
Router
Router
Router
Router
RouterRouter
RouterMRG MRG
MRGMRG
EMS
Internet
The Cyber System.
08/06/10The Ohio State University Mechatronics –Green Energy Laboratory
LAN/WAN
Database
Database
0
0
0 SmartMeter
Air Condition (A/C)
Space Heater
Washer
Electric Stove
Refregirator
HTTP
User ApplicationCSV-XML
SNMPSNMP Maneger
SCADA
Modbus TCP
EthernetTCP / IP
WebBrowser
Tra
nsd
uce
r RME
+ infoThermocouple
PT100
4-20 mA
0-10 V
FlowPressure
HumidityLevel
Temperature
Cyber-Controlled Smart Metering Systems
08/06/10The Ohio State University Mechatronics –Green Energy Laboratory
Smart Microgrid Systems DC Architecture
08/06/10The Ohio State University Mechatronics –Green Energy Laboratory
LocalUtility
1
DG
2 3
DG
LocalLoads
DG
PV array
DC Bus
DC/AC
AC Bus
Net Metering
PV Roof Top DC BUS
Asyn.Gen.
Storage
DFIG
DC/AC
DC/DC
DC/AC
AC/DC
Step up Trans.
Step up Trans.
Step up Trans.
LV HV
HVLV
PV Gen.
Station
PV Gen.
Station
PV Gen.
Station
Wind Gen.
Station
Wind Gen.
Station
DG EMS
Infinite Bus
Utility EMS
Smart Micro Grid Systems AC Architecture
Smart Grid with High Penetration of Renewable Energy Sources
Transmission Netwrork 220, 380 kV
L1L2L3
HV/MV Transformer 25-63 MVA
Wind Park
110 kV (L_L)
Large Industrial Consumer
MV/LV Transformer 100-630 kVA
L1L2L3
10-35 kV (L_L)
Biogas Plant
Wind Turbine
Industrial Consumer
L1L2L3
400 V (L_L)
N
PV PlantP>100 kVA
~=
~=
Consumer
Consumer with PV (<5 kVA)
~=
Consumer
Consumer with PV (5-100 kVA)
Consumer
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Green Energy Laboratory [email protected]
The Weekly Load Variation Sampled Hourly
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Green Energy Laboratory [email protected]
The Twenty Four Hour Load Variation Sampled
Every Five Minutes
08/06/10 23The Ohio State University Mechatronics –
Green Energy Laboratory [email protected]
Peak Clipping
Smart Grid Load Management Techniques
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• Peak Clipping: Peak clipping method seeks to reduce
the peak load demand and match it
with the power companies’ available
power generation
Valley Filling
Smart Grid Load Management Techniques
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• Valley Filling: This method is based on scheduling certain load during the time of the day when the load demand is low due to consumer life style
High Power
High Energy
Electricity Storage Spectrum
Load FollowingInertia Inertia
(seconds or less)
Stored Energy(seconds to minutes)
Energy Management ApplicationsEDC, AGC
(minutes to hours)
Figure 4. The Energy Management Time Scale of Power System Control
08/06/10 26The Ohio State University Mechatronics –
Green Energy Laboratory [email protected]
08/06/10The Ohio State University Mechatronics –
Green Energy Laboratory [email protected]
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Power System
Speed Load Control
(Primary)
Shaft Power
Load
Tie Powers
Prime mover &
Energy Supply System
Valveor
Gate
Supplementary Controls (AGC)
Tie Powers (metered)Energy Control Center
Computers
Speed (frequency)
Governor
123
+
-
-
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Green Energy Laboratory [email protected]
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GeneratorTurbine
Prime Mover Energy Source
Control Loop
Governor
AVREXC.
Reset Control
--
-+
PowerSystemNetwork
ω
+
ΔPc
Ʃ+
-
Freq. Bias
-
+
+
+
ω
Freq. Ref
Interchange Error
Economic Dispatch
Pactual
Scheduled Area Interchange
Tie Line Loads
Xr
-
Energy Control Center
Data Links
Generating Plant
|Vt|
Vo
08/06/10The Ohio State University Mechatronics –
Green Energy Laboratory [email protected]
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Control of Steam Generators
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Green Energy Laboratory [email protected]
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AC Output
MeasuredV ac and I ac
MeasuredV dc and I dc
DSPController
Switching Signals
DCInput
+ ,-
P, Q Ref.
P, Q Measured
V Measured
V Ref
+
-
The Operation of an Inverter as a Steam Generator
08/06/10The Ohio State University Mechatronics –
Green Energy Laboratory [email protected]
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Undergraduate education : Modeling of microgrid systems consisting: Sizing of Green energy microgrids Power converters PV farm and wind farm Load models- Nonlinear loads ( power switching loads) Storage-batteries and fuel cell based flow batteries Combined heat hydrogen and power (CHHP) and micro turbines. Control of Converters – Active and Reactive power controlDistributed Generation (DG)
08/06/10The Ohio State University Mechatronics –
Green Energy Laboratory [email protected]
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Graduate Education-Research Issues. Predictive modeling and monitoring for self‐healing (adaptive systems) diagnostics control technology.Development of interactive smart metering to improve load model profiles.Development of control technology for future cyber-interconnected smart microgrids, in which every node in the system will be adaptive, controllable, price-smart, operable as a microgrid, and functioning as an island or a synchronized system.
08/06/10The Ohio State University Mechatronics –
Green Energy Laboratory [email protected]
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Graduate Education-Research Issues: Development of control technology for operation of
renewable sources as steam units Cyber Controlled of Smart Grid Development of control technology for voltage,
current, P and Q operation of inverter. Single phase DC/AC converters Three phase DC/AC Converters
Development of control technology for efficient operation of storage systems, such as flow batteries, battery system, flywheels, and supper-charging capacitors.
08/06/10The Ohio State University Mechatronics –
Green Energy Laboratory [email protected]
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Graduate Education-Research Issues:Voltage and Current Control DC/AC converters Total Harmonic Distortion (THD) problem:
PID controller works very well for linear loads and achieves acceptable level of THD harmonic reduction. However, with nonlinear load PID controller cannot achieve satisfactory level of harmonic suppression.
Specifically, reduction of 3rd harmonic component in the output of single-phase inverter can seriously affect the system performance.
The PID controller can not suppress harmonic frequencies even if PID controller gains are increased.
08/06/10The Ohio State University Mechatronics –
Green Energy Laboratory [email protected]
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Graduate Education –Research Issues:Voltage and Current Control DC/AC PWM Inverter THD Reduction:
•PID Controllers can not achieve THD, specifically the third harmonics.
•It is desirable to reduce THD due to 3rd, 5th, , 7th, 9th harmonics
•The control design should achieve the tracking of reference output voltage and fast transient response without steady state error.
08/06/10The Ohio State University Mechatronics –
Green Energy Laboratory [email protected]
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OSU Mechatronics-Green Energy laboratory Research Contribution
1. Keyhani Ali, Mohammad Marwali, Min Dai “Integration of Green and Renewable Energy in Electric Power Systems”, Wiley, ISBN: 978-0-470-18776-0, December 2009
2. M. N. Marwali and A. Keyhani, "Control of Distributed Generation Systems Part I: Voltage and Current Control," IEEE Transactions on Power Electronics, Volume 19, No. 6, November 2004, pp. 1541-1550
3. M. N. Marwali, J. W. Jung, and A. Keyhani, "Control of Distributed Generation Systems Part II: Load Sharing," IEEE Transactions on Power Electronics, Volume 19, No. 6, November 2004, pp. 1551-1561
4. Min Dai, M.N. Marwali, Jin-Woo Jung, A. Keyhani, "Power Flow Control of a Single Distributed Generation Unit", IEEE Transactions on Power Electronics, Vol. 23, Issue 1, Jan. 2008. pp. 343 - 352 5. Min Dai, M.N. Marwali, Jin-Woo Jung, A. Keyhani, "A Three-Phase Four-Wire Inverter Control Technique for a Single Distributed Generation Unit in Island Mode", IEEE Transactions on Power Electronics, Vol. 23, Issue 1, Jan. 2008, pp. 322 - 331
4.
08/06/10The Ohio State University Mechatronics –
Green Energy Laboratory [email protected]
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5. Jin-Woo Jung and Ali Keyhani, "Control of a Fuel Cell Based Z-Source Converter", IEEE Transactions on Energy Conversion, Volume 22, No. 2, June 2007, pp. 467-476
6. Mohammad N. Marwali, Min Dai, and Ali Keyhani, "Robust Stability Analysis of Voltage and Current Control for Distributed Generation Systems," IEEE Transactions on Energy Conversion, Volume 21, No. 2, June 2006, pp. 516-526
7. A. Keyhani, "Leader-follower framework for control of energy services," IEEE Transactions on Power Systems, Volume 18, No. 2, May 2003, pp. 837-841
http://www.ece.osu.edu/~keyhani/ http://www.ece.osu.edu/ems/
Thank you. Hum Dingers