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NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC.
PV Inverter Island Detection Evaluation Using
Power Hardware-in-the-Loop (PHIL) Techniques
Barry Mather, Ph.D.
Senior Electrical Engineer
Power Sys. Engineering Center
barry.mather@nrel.gov
PV System Symposium
PV Grid Integration Workshop
San Jose, CA, May 10th, 2016
NATIONAL RENEWABLE ENERGY LABORATORY
Outline
2
• Goal and motivation
• Overview of the PHIL setup
• Presentation of results
• PHIL vs. RLC tank (IEEE 1547/UL 1741
tests)
• A look at the strength of implemented
island detection algorithms
• Island detection with induction motors on
circuit
• Conclusions
NATIONAL RENEWABLE ENERGY LABORATORY
PV Inverter Islanding – Still a major concern
3
Motivation:
• The risk of a high-pen PV circuit forming an
island has yet to be inexpensively mitigated:
• Some utilities require DTT
• Some PV inverter manufactures have
“beefed-up” detection algorithms
• IEEE 1547.1 is under revision – what should
be tested?
Goal:
• Develop methods for evaluating PV inverter
island detection performance under more
realistic conditions to better quantify risk
NATIONAL RENEWABLE ENERGY LABORATORY
PV Inverter Island Detection Evaluation
What is present in the next slides
was developed through a
collaboration between NREL and
FSU CAPS.
Collaborators: K., Schoder, J.
Langston, M. Steurer ,J. Hauer
and F. Bogdan
IEEE 1547 – 2003 requires a
DER to cease to energize within 2
seconds of a electrical island
forming.
4
PV
Inverter
-
+ A
B
C
N
resonant
at 60 Hz
DC
Source
Va
Vb
Vc
R, L, C
Load
Bank
Islanding
Switch
Simulated
GridDUT
IEEE 1547 / UL 1741 Anti-islanding test
See: K. Schoder, et al. Power Hardware-in-the-Loop-Based Anti-Islanding Evaluation and
Demonstration, NREL Tech. Report TP-5D00-64241, Oct., 2015.
NATIONAL RENEWABLE ENERGY LABORATORY 5
Amplifier
AC
Voltage
References
Voltage
Reference
RTS
Load bank and
Feeder Emulation
PV Emulation
Protection
Monitoring,
Trend Data Logging,
Data capture
Simulation of
PHIL-Setup
Amplifier
DC
Voltage and current
Measurements
VDC
ref
IDCVDC Ia,b,c Va,b,c
PV Inverter
3-phase
DC
String
-
+
L1
L2
L3
N
PE
References
Current measurement(s)
Voltage measurement(s)
Rs
VA,B
ref
Transformer
4.16kVV/480V(DY)
O2(1)
Switch
Load Bank
R-L-C
wye
Ia,b,c Iga,b,c
SW
Vsw,cVa,b,c
PHIL Power
Interface
RT Model
Va
Vb
Vc
Rp
Rg
I1(10)
1:100
PHIL-Based Island Detection Evaluation
From: M. Steurer et al. Advanced Anti-Islanding Testing with Power Hardware-in-the-Loop,
3rd Annual International Workshop in Grid Simulator Testing, Nov., 2015.
NATIONAL RENEWABLE ENERGY LABORATORY
RLC vs. PHIL Island Detection Results
6
RLC type testing , 20 kW inverter operating at 8 kW with a QF = 1
Va, Vb, Vc Ia, Ib, Ic
NATIONAL RENEWABLE ENERGY LABORATORY
RLC vs. PHIL Island Detection Results
7
PHIL type testing , 20 kW inverter operating at 8 kW with a QF = 1
Va, Vb, Vc Ia, Ib, Ic
NATIONAL RENEWABLE ENERGY LABORATORY
RLC vs. PHIL Island Detection Results
8
Island detection
time comparison
for RLC and PHIL-
based evaluation:
RLC – Red
PHIL - Blue
NATIONAL RENEWABLE ENERGY LABORATORY
Determining the Strength of AI Detection
9
A 60 kW PV
inverter is operation
at 54 kW but other
perfect PQ sources
are modelled at 1,
2, 3, and 4 times
the inverters
operating power to
test the strength of
island detection
algorithms
Non-Islanding Inverter-
based Generation
NATIONAL RENEWABLE ENERGY LABORATORY
Investigating the Impact of Nearby Loads
10
A 60 kW PV Inverter
is operating at 54
kW and a 60 kVA
induction motor is
operating nearby
(modelled in RTS).
Result – half of the
experiments
resulted in detection
times over 2 sec. –
Please note that QF
= 2 in this case. Island Detection Times with
a 60 kVA Induction Motor
Nearby
NATIONAL RENEWABLE ENERGY LABORATORY
Investigating the Impact of Nearby Loads
11
A 60 kW PV Inverter
is operating at 54
kW and a 221 kVA
induction motor is
operating nearby
(modelled in RTS).
Result – no island is
ever detected.
Vline-line
Freq.
NATIONAL RENEWABLE ENERGY LABORATORY
Conclusions
12
• PHIL methods were developed to evaluate PV inverter
islanding scenarios – experimental results show
reasonable agreement between island detection times.
• Island algorithms seem quite robust to non-islanding
generators on the same circuit.
• Experimental results indicate that concern over induction
motors/generators proves to be warranted
Moving forward: what level of island detection
performance should we require of distributed PV
and how should it be evaluated via certification
tests?
NATIONAL RENEWABLE ENERGY LABORATORY
Thank you for your attention
Contact:
Barry Mather Ph.D.
National Renewable Energy Laboratory
barry.mather@nrel.gov
(303)-275-4378

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18 b mather_pv_sys_symposium_san_jose_ca_160510

  • 1. NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. PV Inverter Island Detection Evaluation Using Power Hardware-in-the-Loop (PHIL) Techniques Barry Mather, Ph.D. Senior Electrical Engineer Power Sys. Engineering Center barry.mather@nrel.gov PV System Symposium PV Grid Integration Workshop San Jose, CA, May 10th, 2016
  • 2. NATIONAL RENEWABLE ENERGY LABORATORY Outline 2 • Goal and motivation • Overview of the PHIL setup • Presentation of results • PHIL vs. RLC tank (IEEE 1547/UL 1741 tests) • A look at the strength of implemented island detection algorithms • Island detection with induction motors on circuit • Conclusions
  • 3. NATIONAL RENEWABLE ENERGY LABORATORY PV Inverter Islanding – Still a major concern 3 Motivation: • The risk of a high-pen PV circuit forming an island has yet to be inexpensively mitigated: • Some utilities require DTT • Some PV inverter manufactures have “beefed-up” detection algorithms • IEEE 1547.1 is under revision – what should be tested? Goal: • Develop methods for evaluating PV inverter island detection performance under more realistic conditions to better quantify risk
  • 4. NATIONAL RENEWABLE ENERGY LABORATORY PV Inverter Island Detection Evaluation What is present in the next slides was developed through a collaboration between NREL and FSU CAPS. Collaborators: K., Schoder, J. Langston, M. Steurer ,J. Hauer and F. Bogdan IEEE 1547 – 2003 requires a DER to cease to energize within 2 seconds of a electrical island forming. 4 PV Inverter - + A B C N resonant at 60 Hz DC Source Va Vb Vc R, L, C Load Bank Islanding Switch Simulated GridDUT IEEE 1547 / UL 1741 Anti-islanding test See: K. Schoder, et al. Power Hardware-in-the-Loop-Based Anti-Islanding Evaluation and Demonstration, NREL Tech. Report TP-5D00-64241, Oct., 2015.
  • 5. NATIONAL RENEWABLE ENERGY LABORATORY 5 Amplifier AC Voltage References Voltage Reference RTS Load bank and Feeder Emulation PV Emulation Protection Monitoring, Trend Data Logging, Data capture Simulation of PHIL-Setup Amplifier DC Voltage and current Measurements VDC ref IDCVDC Ia,b,c Va,b,c PV Inverter 3-phase DC String - + L1 L2 L3 N PE References Current measurement(s) Voltage measurement(s) Rs VA,B ref Transformer 4.16kVV/480V(DY) O2(1) Switch Load Bank R-L-C wye Ia,b,c Iga,b,c SW Vsw,cVa,b,c PHIL Power Interface RT Model Va Vb Vc Rp Rg I1(10) 1:100 PHIL-Based Island Detection Evaluation From: M. Steurer et al. Advanced Anti-Islanding Testing with Power Hardware-in-the-Loop, 3rd Annual International Workshop in Grid Simulator Testing, Nov., 2015.
  • 6. NATIONAL RENEWABLE ENERGY LABORATORY RLC vs. PHIL Island Detection Results 6 RLC type testing , 20 kW inverter operating at 8 kW with a QF = 1 Va, Vb, Vc Ia, Ib, Ic
  • 7. NATIONAL RENEWABLE ENERGY LABORATORY RLC vs. PHIL Island Detection Results 7 PHIL type testing , 20 kW inverter operating at 8 kW with a QF = 1 Va, Vb, Vc Ia, Ib, Ic
  • 8. NATIONAL RENEWABLE ENERGY LABORATORY RLC vs. PHIL Island Detection Results 8 Island detection time comparison for RLC and PHIL- based evaluation: RLC – Red PHIL - Blue
  • 9. NATIONAL RENEWABLE ENERGY LABORATORY Determining the Strength of AI Detection 9 A 60 kW PV inverter is operation at 54 kW but other perfect PQ sources are modelled at 1, 2, 3, and 4 times the inverters operating power to test the strength of island detection algorithms Non-Islanding Inverter- based Generation
  • 10. NATIONAL RENEWABLE ENERGY LABORATORY Investigating the Impact of Nearby Loads 10 A 60 kW PV Inverter is operating at 54 kW and a 60 kVA induction motor is operating nearby (modelled in RTS). Result – half of the experiments resulted in detection times over 2 sec. – Please note that QF = 2 in this case. Island Detection Times with a 60 kVA Induction Motor Nearby
  • 11. NATIONAL RENEWABLE ENERGY LABORATORY Investigating the Impact of Nearby Loads 11 A 60 kW PV Inverter is operating at 54 kW and a 221 kVA induction motor is operating nearby (modelled in RTS). Result – no island is ever detected. Vline-line Freq.
  • 12. NATIONAL RENEWABLE ENERGY LABORATORY Conclusions 12 • PHIL methods were developed to evaluate PV inverter islanding scenarios – experimental results show reasonable agreement between island detection times. • Island algorithms seem quite robust to non-islanding generators on the same circuit. • Experimental results indicate that concern over induction motors/generators proves to be warranted Moving forward: what level of island detection performance should we require of distributed PV and how should it be evaluated via certification tests?
  • 13. NATIONAL RENEWABLE ENERGY LABORATORY Thank you for your attention Contact: Barry Mather Ph.D. National Renewable Energy Laboratory barry.mather@nrel.gov (303)-275-4378