Great conference last week in Bremen: 6th International Conference Drivetrain Concepts for Wind Turbines. Mikel Zabaleta, Ingeteam Wind Energy Product Manager, presented “Optimizing energy yield in multi-MW power converters for wind”.
Optimizing energy yield in multi-MW power converters for wind” by Mikel zabaleta_Ingeteam Wind Energy 2015
1. OPTIMIZING ENERGY YIELD IN MULTI-MW
POWER CONVERTERS FOR WIND
Bremen, 30th November 2015
Speaker: Mikel Zabaleta
MV-Wind Product Manager
mikel.zabaleta@ingeteam.com
2. INDEX
• Scenario
• Introduction
• Conclusions
• Converter arrangements for multi-MW turbines
• Ingeteam’s solution
• Efficiency effect on energy yield
• Modularity effect on energy yield
3. OPTIMIZING ENERGY YIELD IN MULTI-MW POWER
CONVERTERS FOR WIND
Introduction
Scenario
Modularity
Conclusions
Converter
arrangements
Ingeteam’s
solution
Efficiency
Introduction
The following terms and acronyms have been used along the presentation:
• Conversion line: is the association of inverters in a back to back topology
characterized by the fact that a failure in any of its semiconductors, lead to
the total shutdown of it.
4. OPTIMIZING ENERGY YIELD IN MULTI-MW POWER
CONVERTERS FOR WIND
Introduction
Scenario
Modularity
Conclusions
Converter
arrangements
Ingeteam’s
solution
Efficiency
Introduction
• Conversion stage: is the association of conversion lines in parallel to form
a higher output power unit.
• Corrective period: is the elapsed time between the occurrence of an
event and the maintenance actions performed to restore it. If a failure
occurs on Monday but the service personnel can not access to fix it until
Friday, the corrective period would be 5 days..
5. OPTIMIZING ENERGY YIELD IN MULTI-MW POWER
CONVERTERS FOR WIND
Introduction
Scenario
Modularity
Conclusions
Converter
arrangements
Ingeteam’s
solution
Efficiency
Introduction
• PTF (Probability To Fail): indicates the probability that has a component
or subsystem to fail during one year of operation. This indicator is inherent
to the component itself and to the application requirements.
• PTS (Probability To Stop): indicates the probability that has a component
or subsystem to cause a full shutdown of the conversion line (or stage),
that includes it, during one year of operation. In this indicator, it affects not
only the component, but also the level of redundancy. If there is no
redundancy, PTS=PTF.
• MAEP (Mean Annual Energy Production): is the ratio between the actual
energy produced by the conversion stage and the maximum that have
been available in the site.
6. OPTIMIZING ENERGY YIELD IN MULTI-MW POWER
CONVERTERS FOR WIND
Introduction
Scenario
Modularity
Conclusions
Converter
arrangements
Ingeteam’s
solution
Efficiency
Description of the Scenario
The study considers a 8 MW power stage for a windturbine with the rated
power curve shown on the next figure. It has a cut in and cut out speed of 3
and 26 m/s respectively.
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
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 25 26 27 28
Power[kW]
Wind speed [m/s]
Power curve
7. OPTIMIZING ENERGY YIELD IN MULTI-MW POWER
CONVERTERS FOR WIND
Introduction
Scenario
Modularity
Conclusions
Converter
arrangements
Ingeteam’s
solution
Efficiency
Description of the Scenario
The base site mean wind-speed is considered 7 m/s (3863 equivalent hours).
The wind speed distribution is fitted to a Weibull distribution with form factor of
2.
0,00%
2,00%
4,00%
6,00%
8,00%
10,00%
12,00%
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 25 26 27 28
Wind speed [m/s]
Wind speed probability
8. OPTIMIZING ENERGY YIELD IN MULTI-MW POWER
CONVERTERS FOR WIND
Introduction
Scenario
Modularity
Conclusions
Converter
arrangements
Ingeteam’s
solution
Efficiency
Description of the Scenario
Other considerations are:
• The standard corrective period is considered to be 1 month.
• The windturbine lifetime is 30 years.
• The price for the MWh has been considered 200 euros for the sake of
simplicity
• The PTF of each conversion line is calculated to be 18%
• The PTF of the converter controls is calculated to be 4%
• The PTF of the converter cooling is calculated to be 2%
• The cost of a maintenance access is estimated to be 15 k€
The analysis will cover the following parameter deviations:
• Efficiency: from 97 to 98%
• Corrective period: from 1 to 8 [Days], 1 to 4 [Weeks], 1 to 12 [Months]
• Mean Wind Speed: from 5 to 8 m/s
9. OPTIMIZING ENERGY YIELD IN MULTI-MW POWER
CONVERTERS FOR WIND
Introduction
Scenario
Modularity
Conclusions
Converter
arrangements
Ingeteam’s
solution
Efficiency
Efficiency effect on energy yield
A lot of importance has been assigned to the efficiency of the conversion
stage in the past. This obviously affects the energy harvested by a
windturbine, but its effect is not straightforward.
The efficiency of the conversion stage only affects during partial loads
operation (during the maximum power tracking MPT);
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
0,00%
2,00%
4,00%
6,00%
8,00%
10,00%
12,00%
14,00%
16,00%
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27
Wind speed [m/s]
5 m/s 6 m/s 7 m/s 8 m/s Power curve
Mean Wind Speed Probability in MPT
5 m/s 71%
6 m/s 71%
7 m/s 66%
8 m/s 60%
9 m/s 54%
10 m/s 48%
10. OPTIMIZING ENERGY YIELD IN MULTI-MW POWER
CONVERTERS FOR WIND
Introduction
Scenario
Modularity
Conclusions
Converter
arrangements
Ingeteam’s
solution
Efficiency
Efficiency effect on energy yield
Generally, as the mean wind speed of the site increases, the effect of the
efficiency of the conversion stage becomes less important as less partial load
hours are probable.
0,00%
0,10%
0,20%
0,30%
0,40%
0,50%
0,60%
0,70%
0,80%
0,90%
1,00%
5 5,5 6 6,5 7 7,5 8 8,5 9 9,5 10
MAEP
Mean wind speed [m/s]
MAEP improvement for a 1% efficiency step
One conversion line Two conversion line
11. OPTIMIZING ENERGY YIELD IN MULTI-MW POWER
CONVERTERS FOR WIND
Introduction
Scenario
Modularity
Conclusions
Converter
arrangements
Ingeteam’s
solution
Efficiency
Modularity effect on energy yield
The modularity also affects the MAEP because when a failure occurs in the
conversion stage, it may stop it shutting down the entire production (in the
case of a single conversion line) or it may reduce the available output power
(in the case of two or more conversion lines).
Here is where the corrective period plays its role.
1 2 3 4 5 6 7 8
One conversion line 99,94% 99,87% 99,81% 99,74% 99,68% 99,61% 99,55% 99,48%
Two conversion line 99,95% 99,90% 99,85% 99,79% 99,74% 99,69% 99,64% 99,59%
Three conversion line 99,95% 99,91% 99,86% 99,81% 99,76% 99,72% 99,67% 99,62%
Four conversion line 99,96% 99,91% 99,87% 99,82% 99,78% 99,73% 99,69% 99,64%
99,40%
99,50%
99,60%
99,70%
99,80%
99,90%
100,00%
MAEP
MaintenanceAccess [Days]
One conversion line Two conversion line
Three conversion line Four conversion line
12. OPTIMIZING ENERGY YIELD IN MULTI-MW POWER
CONVERTERS FOR WIND
Introduction
Scenario
Modularity
Conclusions
Converter
arrangements
Ingeteam’s
solution
Efficiency
Modularity effect on energy yield
If the corrective period is in the weeks timeframe,
1 2 3 4
One conversion line 99,51% 99,03% 98,54% 98,06%
Two conversion line 99,61% 99,23% 98,84% 98,45%
Three conversion line 99,65% 99,29% 98,94% 98,59%
Four conversion line 99,66% 99,33% 98,93% 98,57%
97,0%
97,5%
98,0%
98,5%
99,0%
99,5%
100,0%
MAEP
MaintenanceAccess [Weeks]
One conversion line Two conversion line
Three conversion line Four conversion line
13. OPTIMIZING ENERGY YIELD IN MULTI-MW POWER
CONVERTERS FOR WIND
Introduction
Scenario
Modularity
Conclusions
Converter
arrangements
Ingeteam’s
solution
Efficiency
Modularity effect on energy yield
If the corrective period is in the months timeframe,
1 2 3 4 5 6 7 8 9 10 11 12
One conversion line 98,06% 96,11% 94,17% 92,22% 90,28% 88,33% 86,39% 84,44% 82,50% 80,56% 78,61% 76,67%
Two conversion line 98,45% 96,91% 95,36% 93,82% 90,89% 89,06% 87,24% 85,42% 83,59% 81,77% 76,89% 74,79%
Three conversion line 98,59% 96,90% 95,35% 93,25% 91,56% 89,05% 87,22% 84,29% 82,33% 76,21% 73,83% 69,79%
Four conversion line 98,57% 96,96% 95,16% 93,19% 90,22% 87,73% 85,05% 80,89% 77,69% 72,68% 67,16% 59,76%
60,00%
65,00%
70,00%
75,00%
80,00%
85,00%
90,00%
95,00%
100,00%
105,00%
MAEP
MaintenanceAccess [Months]
One conversion line Two conversion line
Three conversion line Four conversion line
14. OPTIMIZING ENERGY YIELD IN MULTI-MW POWER
CONVERTERS FOR WIND
Introduction
Scenario
Modularity
Conclusions
Converter
arrangements
Ingeteam’s
solution
Efficiency
Conclusions
• The effect of the efficiency (only at partial loads!!) on the MAEP
decreases with the mean wind-speed of the site.
• The modularity, in conjunction with the corrective period, has the strongest
influence on the MAEP. Here, the cost of the maintenance access should
also be taken into account (15 k€).
NOL 75% NOL 66% NOL 50% NOL 33% NOL 25% NOL 0%
Annual
Energy
[MWh] MAEP
Extra Annual
Income (discounted
maintenance) [€]
One CL 0 0 0 0 0 7 30304 98.056% 0
Two CL 0 0 10 0 0 2 30455 98.545% 26640
Three CL 0 16 0 0 0 2 30468 98.588% 25166
Four CL 22 0 1 0 0 2 30462 98.568% 19674
• The extra annual income (for 2 CL) is even higher when including
redundancies in the control system (in CPU, in power supplies) reaching
above 44k€.
15. OPTIMIZING ENERGY YIELD IN MULTI-MW POWER
CONVERTERS FOR WIND
Introduction
Scenario
Modularity
Conclusions
Converter
arrangements
Ingeteam’s
solution
Efficiency
Conclusions
• Comparing the four conversion stages regarding some design drivers, it
can easily be seen how a two conversion line solution is optimal.Energyharvest
Initialcost
Footprintand
weight
Unscheduled
maintenance
accesses
Multiplesources
forcomponents
One CL LOW HIGH HIGH LOW LOW
Two CL HIGH MEDIUM MEDIUM MEDIUM HIGH
Three CL HIGH HIGH HIGH HIGH HIGH
Four CL HIGH HIGH HIGH HIGH HIGH
16. OPTIMIZING ENERGY YIELD IN MULTI-MW POWER
CONVERTERS FOR WIND
Introduction
Scenario
Modularity
Conclusions
Converter
arrangements
Ingeteam’s
solution
Efficiency
Power converter arrangements for multi-MW windturbines
In the multi-MW range, several different converter arrangements can be
found:
• In low voltage (LV), three or more 2L conversion lines are usually needed
to reach output power.
• In medium voltage (MV), basically two different trends appear:
• Press-pack based converters which reach the output power with only
one 3L conversion line,
• HV-IGBT based converters which usually require the parallelization of
two (or three) 3L conversion lines.
As it has been seen before, a two conversion lines stage is optimum from the
energy harvest point of view and the operational costs.
Some internal and external [1] studies have highlighted that a reduction in the
CoE between 2-4% can be achieved with MV power stages in the multi-MW
range.
[1] W. Erdman and M. Behnke, Low Wind Speed Turbine Project Phase II: The application of Medium-Voltage Electrical
Apparatus to the Class of Variable Speed Multi-Megawatt Low Wind Speed Turbines. Golden, CO, USA: National Renewable
Energy Lab. (N.R.E.L.), 2012
17. OPTIMIZING ENERGY YIELD IN MULTI-MW POWER
CONVERTERS FOR WIND
Introduction
Scenario
Modularity
Conclusions
Converter
arrangements
Ingeteam’s
solution
Efficiency
Ingeteam’s solution for multi-MW windturbines
The MV product family has been designed with the following drivers
Maximize energy harvest,
Minimize initial cost,
Minimize footprint and weight,
Scheduled maintenance intervals greater than one year,
Minimize unscheduled maintenance accesses,
Reduced MTTR,
Multiple sources for components
Harsh environment withstand
These has led to the following solution
HV-IGBT based converter (reduced MTTR, multiple sources, reduced initial cost, footprint and
weight)
Two conversion lines (High energy harvest, low initial cost)
Oversized key components and redundancies in control and cooling systems (higher energy
harvest, increases maintenance intervals and minimizes unscheduled maintenance)
Fully closed (IP54+) water-cooled cabinets (high immunity against aggressive atmospheres)
Key design drivers
18. OPTIMIZING ENERGY YIELD IN MULTI-MW POWER
CONVERTERS FOR WIND
Introduction
Scenario
Modularity
Conclusions
Converter
arrangements
Ingeteam’s
solution
Efficiency
Ingeteam’s solution for multi-MW windturbines
Three products are available depending on the required output:
INGECON WIND MV100 3400 -> 635 Arms with overload 700 Arms
INGECON WIND MV100 4600 -> 850 Arms with overload 950 Arms
INGECON WIND MV100 5600 -> 1050 Arms with overload 1150 Arms
Arranging two conversion lines of each type, the following output
power can be reached:
2 CONVERSION LINES ARRANGEMENT
GRID MACHINE
Target WT
power [kW]
simultaneity
0,9/0,9
Target WT
power [kW]
simultaneity
0,9/0,95
Target WT
power [kW]
simultaneity
0,95/0,95
Target WT
power [kW]
Vn@PF=1
Target WT
Power [kW]
Vn@PF=0,95
INGECON WIND MV100 5600
9100 9600 10100 11200 11400
10000 10600 11200 12400 12500
INGECON WIND MV100 4600
7500 7900 8300 9200 9300
8300 8700 9200 10200 10300
INGECON WIND MV100 3400
5500 5800 6100 6800 6800
6200 6500 6900 7600 7600
PERMANENT POWER
OVERLOAD
19. OPTIMIZING ENERGY YIELD IN MULTI-MW POWER
CONVERTERS FOR WIND
Introduction
Scenario
Modularity
Conclusions
Converter
arrangements
Ingeteam’s
solution
Efficiency
Ingeteam’s solution for multi-MW windturbines
The power stack is based on small “bricks” called Basic Power Modules
(BPMs).
These modules contain the semiconductor devices (HV-IGBTs) and its
ancillary systems (drivers, cooling, temperature probes, etc.) of a 3L-NPC
phase leg.
The BPMs are assembled on sliding guides helping to obtain and extremely
reduced MTTR (less than 30 minutes).
Two BPM modules (sharing the electromechanical design) cover all the range
of powers required by means of changing the semiconductor devices
(matching its ratings).
20. OPTIMIZING ENERGY YIELD IN MULTI-MW POWER
CONVERTERS FOR WIND
Introduction
Scenario
Modularity
Conclusions
Converter
arrangements
Ingeteam’s
solution
Efficiency
Ingeteam’s solution for multi-MW windturbines
The engineering cabinet includes:
The grid side and machine side reactors
The internal cooling system
The dVdt filter (for 1,5 kV/us)
The precharge and discharge system
The grid side and machine side contactors
The machine side voltage measurements
The machine side manual disconnector and grounding
The DC-bus grounding disconnector
Grid side and machine side surge protections
Three different engineering cabinets are available to optimally fit all the
targeted output powers. These share the basic design (the components
layout) and differs in the size of certain components.
Engineering
21. OPTIMIZING ENERGY YIELD IN MULTI-MW POWER
CONVERTERS FOR WIND
Introduction
Scenario
Modularity
Conclusions
Converter
arrangements
Ingeteam’s
solution
Efficiency
Ingeteam’s solution for multi-MW windturbines
Control electronics accessible from outside
Inspection windows
Engineering
22. OPTIMIZING ENERGY YIELD IN MULTI-MW POWER
CONVERTERS FOR WIND
Introduction
Scenario
Modularity
Conclusions
Converter
arrangements
Ingeteam’s
solution
Efficiency
Ingeteam’s solution for multi-MW windturbines
WCU BPMs 1 ENG 1 BPMs 2 ENG 2 GSF