Upload
gurunathan14
View
216
Download
0
Embed Size (px)
Citation preview
7/27/2019 Optimizationl.pdf
1/29
Dutch Wind Workshops, October 2010
COST OPTIMIZATION OF PERMANENTMAGNET DIRECT DRIVE GENERATORS
Ir. Anoop Jassal, Dr. H Polinder, TU Delft
7/27/2019 Optimizationl.pdf
2/29
EPPElectrical Power Processing
CONTENTS
Introduction
Motivation
New Design Approach
Challenges
Solution
Conclusion
7/27/2019 Optimizationl.pdf
3/29
EPPElectrical Power Processing
1.Introduction
7/27/2019 Optimizationl.pdf
4/29
EPPElectrical Power Processing
More energy from wind required in near future
Energy Generators Many Types Possible
INTRODUCTION
DFIG Cheap/need gear box/partial converter Synchronous No gearbox/expensive/full converter/losses PMDD Efficient/reliable/big and expensive/full converter
Offshore ! !
7/27/2019 Optimizationl.pdf
5/29
EPPElectrical Power Processing
REQUIREMENTS FOR OFF-SHORE
Large single units Cost control
Low maintenance Accessibility
Cost effectiveness
DIRECT DRIVEENERGY
CONVERSION
7/27/2019 Optimizationl.pdf
6/29
EPPElectrical Power Processing
2.Motivation
7/27/2019 Optimizationl.pdf
7/29
EPPElectrical Power Processing
MOTIVATION
distribution of costing
29%
10%
1%3%
0%3%12%
25%
15%
2%0%
rotor :
drivetrain:
hydraulic:
nacelle:
cover :
yaw mechanism:
tow er:
generator:
E-system/converter:
transformer :
auxiliary equipment:
Generatorforms a bigpart of the
cost
Source www.elkraft.ntnu.no/norpie/10956873/Final%20Papers/068%20-%20Norpie%20paper.pdf
An Indicative Cost distribution in a Wind Turbine with PMDDGenerator
7/27/2019 Optimizationl.pdf
8/29
EPPElectrical Power Processing
MOTIVATION
Distributed Winding
Distributed Winding: Largenumber of coils
-Large Overhangs: Copper Losses
-Insulation is laborious
-High manufacture cost
Source:http://i170.photobucket.com/albums/u260/ben_eberle/IMG_0960.jpg
* PM Magnets are also very expensive* Research focus on only Winding part
Most Conventional machines use distributed windings
7/27/2019 Optimizationl.pdf
9/29
EPPElectrical Power Processing
3.New Design Approach
7/27/2019 Optimizationl.pdf
10/29
EPPElectrical Power Processing
SOME EXISTING CONCEPTS
Ironless Stator
Newgen Stator Clipper concept Magnetic Bearings
Dewind Variable speed Gearbox
Unison Multibrid
Enercon Direct Drive (Electromagnets)
Zephyros Direct Drive
(Permanent Magnets)
7/27/2019 Optimizationl.pdf
11/29
EPPElectrical Power Processing
DESIGN APPROACHES
COST
REDUCTION
Magnetic
Bearings
Reduce
Weight
Modular
Machine
New Gen
Concept
Ironless
Stator
Concentrated
Windings
Clipper Concept,
more no. of small
standard generators
Cooling
Maintenance,reliability
- Large Sizes Difficult to make
- Heat dissipation
- Futuristic
- Cost not evaluated
- Maintenance issues
- Reliability
Concentrated windings can be promising ! !
7/27/2019 Optimizationl.pdf
12/29
EPPElectrical Power Processing
1) Shorter overhangs - Less Copper needed and Low Copper Losses.2) Low Number of slots - Lamination cutting reduced.3) Winding Process automatic - Faster manufacture.4) Modular windings Faster Assembly5) Rugged Design
WHY CONCENTRATED WINDINGS ???
Magnets
Rotorback Iron
Stator
Winding
Coil Holder (beforewinding)
View of coil inside the stator.Coil is preformed, Slides on toeach tooth
7/27/2019 Optimizationl.pdf
13/29
EPPElectrical Power Processing
DESIGN APPROACH
Change from Distributed Windings to Concentrated Winding Scheme
Distributed Winding Concentrated WindingSource:http://www.theinventory.orconhosting.net.nz/smartdrives/DSC02061_2.JPG
Source:http://i170.photobucket.com/albums/u260/ben_eberle/IMG_0960.jpg
7/27/2019 Optimizationl.pdf
14/29
EPPElectrical Power Processing
4.Challenges
7/27/2019 Optimizationl.pdf
15/29
EPPElectrical Power Processing
Cogging because of wider teeth (Less slots).
- Machine fails to start- Torque Ripple
Eddy Current Losses in PM Rotor back Iron.- Excessive Heating
- Danger of Demagnetization
Cooling of Machine- If good, Gain More Power for Same Size
- If bad, overheating, reduced life, failure
WHAT DO WE PAY ??
Research Challenges with Concentrated Windings
Research Issue
7/27/2019 Optimizationl.pdf
16/29
EPPElectrical Power Processing
COGGING : PM Edge interacts with a tooth, experiences a pull,giving rise to Cogging Torque
Stator Teeth
PM Edge
Movement
CoggingTorqueElement
Rotor
Net Cogging Torque is sumof these cogging torque
elements
7/27/2019 Optimizationl.pdf
17/29
EPPElectrical Power Processing
EDDY CURRENT LOSSES : Harmonics and Sub-Harmonics
generated by currents in concentrated windings.
Non-Sinusoidal MMF - High Harmonic Content ! !
7/27/2019 Optimizationl.pdf
18/29
EPPElectrical Power Processing
5.Solution Accurate Loss Prediction
7/27/2019 Optimizationl.pdf
19/29
EPPElectrical Power Processing
Machine Field Modelinganalytically and then verificationwith Finite Element Method
Eddy Current loss modeling withFE method and Measurement of
these losses For Comparison
Application on various designsand optimize for cost.- Cost Comparison with areference machine
PROCEDURE
7/27/2019 Optimizationl.pdf
20/29
EPPElectrical Power Processing
ANALYTICAL MODEL
Magnets
Rotorback Iron
Stator
Winding
X
Y
Z
Region 2; Air with Permeability2
b
B2B4
B5Region 1; Iron with Permeability1
Region 4; Iron with Permeability 4
B1
B3
l
Region 3; Magnet region Permeability 3 and Remanant Flux Density of 1.2 T
B6
B7
ASSUMPTIONS
-Slot less Stator
-Winding = Current Sheet
-No Saturation
-No end effects
ADVANTAGES
-Very Fast
-Good for short-listing
potential designs
( , ) cos( )A x t A kx t
7/27/2019 Optimizationl.pdf
21/29
EPPElectrical Power Processing
ANALYTICAL MODEL
1 1 2 2
cosh sinh 0 0 0 0 0
3 3 3 3cosh sinh cosh sinh 0 0 0
4 4 4 4
3 3 3 3sinh cosh sinh cosh
4 4 4 40 0 0
0 0 cosh sinh cosh2 2 2
nkb nkb
nkb nkb nkb nkb
nkb nkb nkb nkb
nkb nkb nkb
2 2 3 3
3 3 4
sinh 02
sinh cosh sinh cosh2 2 2 2
0 0 0
0 0 0 0 cosh sinh sinh4 4 4
sinh cosh cosh4 4 40 0 0 0
nkb
nkb nkb nkb nkb
nkb nkb nkb
nkb nkb nkb
1
1
2
2 3 2
3
3
3 24
0
0
0
(2 )4
0
(2 )4
0
r
r
g
h
gn B
h
n kg
hn B
h n k
Solve some Nasty Equations ! ! !
Analytical Model Cross-Checked with Finite Element Method ! !
7/27/2019 Optimizationl.pdf
22/29
EPPElectrical Power Processing
COMPARISON FOR VALIDATION
Flux Lines
Distance along x-axis
Distancealongy-axis
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 10
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
Analytical
Finite Element
7/27/2019 Optimizationl.pdf
23/29
EPPElectrical Power Processing
ANALYTICAL RESULTS
Quantity Analytical COMSOL Error
Magnet Loss [W] 3224 3193 0.97 %
Back Iron Loss [W] 765 764.6 0.05 %
7/27/2019 Optimizationl.pdf
24/29
EPPElectrical Power Processing
FINITE ELEMENT (FE) MODEL
-Using COMSOL
MULTIPHYSICS 3.5a as FEsolver
-Complicated Geometries
Possible
-Motion Possible
-Material Saturation Possible
-Closer to real world scenario
TIME CONSUMING !!
7/27/2019 Optimizationl.pdf
25/29
EPPElectrical Power Processing
EXPERIMENTAL WORK
-Compare FE Models with the actual machines for model validation
-Check if we can predict losses with analytical calculation
Test Bench
7/27/2019 Optimizationl.pdf
26/29
EPPElectrical Power Processing
FUTURE WORK
Conducting Experiments
Comparison between Analytical-FE-Experimentalresults
Derivation of a cost model
Estimate of cost saving achievable by using newwinding topology
Some design proposals based on research work
7/27/2019 Optimizationl.pdf
27/29
EPPElectrical Power Processing
6.Conclusions
7/27/2019 Optimizationl.pdf
28/29
EPPElectrical Power Processing
PMDD machines are efficient and reliable but
expensive. One way to lower costs is using concentrated
windings.
Eddy current losses in solid parts of thesemachines are primary concern. Researchneeded for accurate prediction of theselosses.
If designed properly, PMDD generator can bemade cheaper than the conventional DirectDrive generators.
7/27/2019 Optimizationl.pdf
29/29
EPP
STATEMENTS
- In many ways policy makers and economists decide whichproduct(s) dominates the market.
- Cost is of great importance when technology competes.
- Technically best product might not be the most useful product.
Thank you for your kind attention ! !