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Computational tools for the
design and evaluation of
electrical systems with PV
generation
Miguel Torres
Postdoctoral Researcher
Contact:
Miguel Torres L., PhD
Postdoctoral Fellow
Solar Energy Research Center (SERC-Chile)
Department of Electrical Engineering
University of Concepcion
Edmundo Larenas 219
Concepción, Chile
Phone: +56-41-2203649
Skype: migueltorres.cl
Gmail: miketango
Linkedin: www.linkedin.com/in/mtorresl
Outline
•Introduction
•Integration of NCRE into power systems
•Available resources
•Hardware-in-the-loop application example
Introduction
Motivation
•Large-scale NCRE plants are already being
connected to the Chilean national grid (SIC and
SING).
•Example: PV plant Llano de Llampos 100 MW.
PV plant Llano de Llampos (connected to SIC)
Chile – Copiapó
PV plant Llano de Llampos (connected to SIC)
Chile – Copiapó
• Located at 1150 m of
altitude
• Area of 280 acres
• 314 640 panels
• 325 Wp/panel
• Capacity of 100 MWp
• Connected to SIC on
Feb. 16 2014 (220 kV)
• 92 MWp effective
• Silent operation
• 1-axis tracking system
• Manual cleaning
View of the real plant
Converter stations 360 – 23 kV
• 3 conv per secondary
• Each converter of 250 kW
• Total of 250x6 = 1,5 MW
per station
• It does MPPT
Challenges of the integration
of large-scale NCRE plants to
power systems
Planning:
•Inter-hour variation of generated power (hard
to estimate).
•Uncertainty in generated power.
•Large variations in generated power.
Operation:
•No contribution of inertial power (PFC).
•Low contribution under voltaje sag.
Variations in power generated by Llano de
Llampos PV plant
0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
10.0
60.4
73.674.773.673.173.574.274.9
69.0
35.1
0.4 0.0 0.0 0.0 0.00.0
10.0
20.0
30.0
40.0
50.0
60.0
70.0
80.0
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
POTENCIA[MW]
Despacho Diario Cental Solar PV Llano de Llampos - SIC
Stability in power systems
Angle Frequency Voltage
Stability
Inertial response and PFC
14
Available resources
Applied Digital Control Laboratory (LCDA)
• More than 10 years of experience
• Students of different levels: PhD, Master and
undergrads
• Control of electronic power converters
• Study of new conversión topologies
• PCB design
• Solar energy applications
Electric Supply Quality Laboratory (LCSE)
• More than 10 years of experience
• Students of different levels: PhD, Master and
undergrads
• Research on power systems and power quality
• Collaboration with the regional industry
• Extensive use of Digsilent, Power analyzers and
power monitors.
Renewable Energy Systems Laboratory
(LaSER)
• New facilities (96 m2)
• Fondequip project: 230M CLP
• Real-Time simulator
• SERC internal fund: 50M CLP
• PV emulators
• Power amplifier 15kW
• Other funds: 15M CLP
• Infrastructure
PV emulators (3 units)
• 2.6 kW
• 600 V/4.3 A
• Multiple PV profile
Example: Grid-tie PV inverter
(Master thesis, Gustavo Hunter, University of Concepcion)
OPAL-RT Real-Time simulator
OPAL-RT system modes of operation
• SIL
• Fully digital simulation.
• No sinchronization with real world.
• Accelerates testing phase.
• RCP
• Control system design.
• Simulator controls actual plant.
• Allows flexibility in design and debugging
phase.
• HIL
• Controler under test is connected to
simulated plant.
• Flexibility in testing the control unit.
• Testing of extreme events.
• PHIL
• Simulator connected to power amplifier.
• Testing of power equipments.
Triphase power amplifier
Electrical grid
emulation
Modular power
converter
Emu.
PV
Power amplifier
PV plant
Control
board
+
Sensors
Emu.
PV
Emu.
PV
Control
board
HIL PHIL
Setup
24
Example:
Hardware-In-the-Loop
Virtual Synchronous Machine (VSM): adding inertia to PV plants.
Background
• Frequency deviations are first limited by inertia and
then by PFC units.
• PV plants are non-rotating generators that add no
inertia to the system  Loss of inertia, frequency
control and stability.
• VSM allows a PV plant to support PFC units by
emulating inertial response and primary mover.
26
VSM concept
* Image obtained from “Potentialities of the Virtual Synchronous Machine
(VISMA) to improve the quality of the electrical grid”
SSG (FACTS Terms & Def. Task Force IEEE, 1997)
VSM, VSG, VSYNCH, SYNCHRONVERTER, MSV
27
VSM for dynamic frequency control
28
Inertial response Damping power
0.96
0.97
0.98
0.99
Time (s)
0.5 1 1.5 2.5 3
1 kg∙m2
Variable inertia 3 kg∙m2
Electrical grid emulation
Control
board
VSM
algorithm
f
Experimental setup
30
df
dt
f
Computational tools for PV system design and evaluation

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Computational tools for PV system design and evaluation

  • 1. Computational tools for the design and evaluation of electrical systems with PV generation Miguel Torres Postdoctoral Researcher
  • 2. Contact: Miguel Torres L., PhD Postdoctoral Fellow Solar Energy Research Center (SERC-Chile) Department of Electrical Engineering University of Concepcion Edmundo Larenas 219 Concepción, Chile Phone: +56-41-2203649 Skype: migueltorres.cl Gmail: miketango Linkedin: www.linkedin.com/in/mtorresl
  • 3. Outline •Introduction •Integration of NCRE into power systems •Available resources •Hardware-in-the-loop application example
  • 5. Motivation •Large-scale NCRE plants are already being connected to the Chilean national grid (SIC and SING). •Example: PV plant Llano de Llampos 100 MW.
  • 6. PV plant Llano de Llampos (connected to SIC) Chile – Copiapó
  • 7. PV plant Llano de Llampos (connected to SIC) Chile – Copiapó • Located at 1150 m of altitude • Area of 280 acres • 314 640 panels • 325 Wp/panel • Capacity of 100 MWp • Connected to SIC on Feb. 16 2014 (220 kV) • 92 MWp effective • Silent operation • 1-axis tracking system • Manual cleaning
  • 8. View of the real plant
  • 9. Converter stations 360 – 23 kV • 3 conv per secondary • Each converter of 250 kW • Total of 250x6 = 1,5 MW per station • It does MPPT
  • 10. Challenges of the integration of large-scale NCRE plants to power systems
  • 11. Planning: •Inter-hour variation of generated power (hard to estimate). •Uncertainty in generated power. •Large variations in generated power. Operation: •No contribution of inertial power (PFC). •Low contribution under voltaje sag.
  • 12. Variations in power generated by Llano de Llampos PV plant 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 10.0 60.4 73.674.773.673.173.574.274.9 69.0 35.1 0.4 0.0 0.0 0.0 0.00.0 10.0 20.0 30.0 40.0 50.0 60.0 70.0 80.0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 POTENCIA[MW] Despacho Diario Cental Solar PV Llano de Llampos - SIC
  • 13. Stability in power systems Angle Frequency Voltage Stability
  • 16. Applied Digital Control Laboratory (LCDA) • More than 10 years of experience • Students of different levels: PhD, Master and undergrads • Control of electronic power converters • Study of new conversión topologies • PCB design • Solar energy applications
  • 17. Electric Supply Quality Laboratory (LCSE) • More than 10 years of experience • Students of different levels: PhD, Master and undergrads • Research on power systems and power quality • Collaboration with the regional industry • Extensive use of Digsilent, Power analyzers and power monitors.
  • 18. Renewable Energy Systems Laboratory (LaSER) • New facilities (96 m2) • Fondequip project: 230M CLP • Real-Time simulator • SERC internal fund: 50M CLP • PV emulators • Power amplifier 15kW • Other funds: 15M CLP • Infrastructure
  • 19. PV emulators (3 units) • 2.6 kW • 600 V/4.3 A • Multiple PV profile
  • 20. Example: Grid-tie PV inverter (Master thesis, Gustavo Hunter, University of Concepcion)
  • 22. OPAL-RT system modes of operation • SIL • Fully digital simulation. • No sinchronization with real world. • Accelerates testing phase. • RCP • Control system design. • Simulator controls actual plant. • Allows flexibility in design and debugging phase. • HIL • Controler under test is connected to simulated plant. • Flexibility in testing the control unit. • Testing of extreme events. • PHIL • Simulator connected to power amplifier. • Testing of power equipments.
  • 24. Electrical grid emulation Modular power converter Emu. PV Power amplifier PV plant Control board + Sensors Emu. PV Emu. PV Control board HIL PHIL Setup 24
  • 25. Example: Hardware-In-the-Loop Virtual Synchronous Machine (VSM): adding inertia to PV plants.
  • 26. Background • Frequency deviations are first limited by inertia and then by PFC units. • PV plants are non-rotating generators that add no inertia to the system  Loss of inertia, frequency control and stability. • VSM allows a PV plant to support PFC units by emulating inertial response and primary mover. 26
  • 27. VSM concept * Image obtained from “Potentialities of the Virtual Synchronous Machine (VISMA) to improve the quality of the electrical grid” SSG (FACTS Terms & Def. Task Force IEEE, 1997) VSM, VSG, VSYNCH, SYNCHRONVERTER, MSV 27
  • 28. VSM for dynamic frequency control 28 Inertial response Damping power 0.96 0.97 0.98 0.99 Time (s) 0.5 1 1.5 2.5 3 1 kg∙m2 Variable inertia 3 kg∙m2