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Journal for Research | Volume 02| Issue 12 | February 2017
ISSN: 2395-7549
All rights reserved by www.journal4research.org 35
Performance of MVDC and MVAC Offshore
Wind Farm Distribution System
Jenish Patel Dr. Sanjay Vyas
PG Student Professor
Department of Electrical Engineering Department of Electrical Engineering
LDRP-ITR,KSV University LDRP-ITR,KSV University
Abstract
Offshore wind farms are becoming more popular because of advantages such as availability of higher and uniform wind speeds,
availability of the large sea area and proximity to major load centers. Two types of wind turbine systems for wind power generation
exist. Mainly DFIG (30% speed variation) and PMSG (100 % speed variation) generators are used in wind farms. To evaluate any
power system network, load flow analysis is necessary. But traditional load flow methods such as the GS and NR-techniques fail
to meet the requirements in both performance and robustness aspects of radial connected wind farm distribution systems. Therefore
in this work, the direct approach algorithm is used for wind farms in which generators are modelled as PQ bus and transmission
line modelled using π model in the algorithm. Basically two types of configuration are possible Medium Voltage AC (MVAC) and
Medium Voltage DC (MVDC) offshore WFDS. Due to lower losses in MVDC offshore WFDS, a today lot of research is going
on to design MVDC offshore WFDS. The results are presented for both MVAC and MVDC based offshore wind farm distribution
system using MATLAB programming. Finally, a performance comparison has been made between the MVAC and MVDC based
offshore Wind Farm Distribution System (WFDS).
Keywords: Wind Energy, PMSG, MVAC, MVDC, Wind Farm Distribution System, Direct Load Flow Algorithm
_______________________________________________________________________________________________________
I. INTRODUCTION
Wind energy is the world’s fastest growing renewable energy source. Electricity generation using wind energy has been well
recognized as environmentally friendly, socially beneficial, and economically competitive for many applications. As the wind
power technologies evolve from one to another breakthrough, the wind power plants continue its increasing penetration in the
power system.
In recent years offshore wind farms are more popular because of the following advantages.
 The wind resource in offshore is generally much greater, thus generating more energy from fewer turbines.
 Availability of uniform wind speeds i.e. no turbulence in the wind (turbulence in wind may damage turbine blades).
 Most of the world’s largest cities are located near a coastline.
 Offshore wind is suitable for large scale development near the major demand centers, avoiding the need for long transmission
lines.
 Availability of large sea area.
II. SYSTEM MODELLING
Large offshore wind farms located far away from their grid connection point require HVDC to connect to shore to reduce cable
losses and decrease reactive power requirements. Figure 1 shows a typical offshore wind farm using an HVDC interconnector
requires individual transformers (usually located in the tower of the generator) to boost the low voltage output of a wind generator
to medium voltage (MV) levels in case of AC system (MVAC) undersea cables connect to an offshore converter station to collect
energy from the wind farm, a high-voltage (HV) transformer to boost the voltage, and an HVDC converter. The system under
study considers PMSG for the offshore variable speed WECS and consisting of two back-back converters.
Fig 2 shows MVDC distribution system is connected to grid via DC-DC converter at offshore and at onshore platform by using
DC-AC converter and step down transformer.
Performance of MVDC and MVAC Offshore Wind Farm Distribution System
(J4R/ Volume 02 / Issue 12 / 009)
All rights reserved by www.journal4research.org 36
Fig. 1: MVAC offshore wind farm distribution system connected to the grid
Fig. 2: MVDC offshore wind farm distribution system connected to the grid
III. WIND TURBINE MODELLING
The wind turbine extracts power from the wind and then converts, it into mechanical power. [3]The variable wind speed available
to the wind turbine can be represented by
)()()()()( tvtvtvtvtv wtwgwrwaw 
(1)
Where )(tvw - instantaneous wind speed
)(tvwa - Average wind speed
)(tvwa - Ramp component
)(tvwg
- Gust component
)(tvwt - Turbulence component.
For the analysis, wind speed is taken as continuous by neglecting the gust, ramp and turbulence components. The power available
in the wind is given by
3
2
1
wv
VP   (2)
Where  is the air density
A is swept area
wV
is velocity of wind
The wind turbine can recover only a part of that power, which is given by
2 31
2
mech w p
P R V C
(3)
Where R is the radius of the wind turbine and CP is the power coefficient
Power coefficient is a dimensionless parameter that indicates the effectiveness of the wind turbine in the transformation of
kinetic energy of the wind into mechanical energy.
Performance of MVDC and MVAC Offshore Wind Farm Distribution System
(J4R/ Volume 02 / Issue 12 / 009)
All rights reserved by www.journal4research.org 37
IV. STEADY STATE MODELLING OF PMSG
PMSG can generate power at any wind speed between cut in and cut out speed. Here converter loss and efficiency calculation is
carried out from standard datasheets (Appendix) and from [5] and the steady state model generally used for the PMSG as shown
in Figure 3.6 is the d-q axes ‘Park’ model. Theory of the space vector gives the dynamic equations of the stator voltages as below.
sd
sd s sd e sq
sq
sq s sq e sd
d
V R I
d t
d
V R I
d t

 

 
  
  
(4)
Where sdV
and sqV
are the d – q components of the stator voltages respectively, sdI
and sqI
are the d – q components of the stator
currents respectively, s
R
is the phase resistance of the stator winding.
Fig. 3: Steady state PMSG model in the rotor reference frame”
The stator fluxes are given by:
s d d s d r
s q q s q
L I
L I
 

 

(5)
Where, Ld and Lq are the d – q components of the stator inductances respectively
r

is the flux linkage of the permanent magnet
me P 
is the rotor speed in elec. rad/s and P is the number of pole pairs.
Combining equations (4) and (5),
sd
sd s sd d e q sq
qs
sq s sd q e d sd e r
dI
V R I L L I
dt
dI
V R I L L I
dt

  
  
   
(6)
The stator active and reactive powers are given by the equations (6):
)(
2
3
)(
2
3
qdqqs
qqdds
IVIVQ
IVIVP


(7)
In PMSG, QS can be maintained zero by using the machine side converter. So it is assumed to be zero. Therefore QS = 0
Finally, the efficiency of the machine can be obtained as
s
m e c h
P
P
 
(8)
V. RESULT
Fig. 4: Real Power Generated Fig. 5: Real power losses
VI. CONCLUSION
The steady state performance analysis of 80 MW of PMSG based Medium Voltage Alternating Current (MVAC) offshore wind
farm distribution system and Medium Voltage Direct Current (MVDC) offshore wind farm distribution system connected to a
High Voltage DC (HVDC) transmission line are investigated. From above conclusions it is identified that for offshore wind
Performance of MVDC and MVAC Offshore Wind Farm Distribution System
(J4R/ Volume 02 / Issue 12 / 009)
All rights reserved by www.journal4research.org 38
application MVDC WFDS is superior to MVAC WFDS. MVDC offshore WFDS has also advantages like elimination of large AC
transformers, reduction of the size and weight of the cable connection, reduction of weight of offshore platforms.
APPENDIX
 Wind turbine parameters:
 Turbine rating – 2.5 MW
 Rotor diameter - 80 m
 Turbine height - 150 m
 Hub height - 90m
 Distance from offshore – 100 km
 33 kV XLPE cable parameters:
 Resistance- 0.075 Ω/km (for MVAC) and 0.0558 Ω/km (for MVDC)
 Inductance- 0.33 mH/km (only for MVAC)
 Capacitance- 0.2 μF/km (only for MVAC)
ACKNOWLEDGMENT
Author Jenish G Patel wishes to thank the Department of Electrical Engineering, LDRP-ITR, KSV university, Gandhinagar for the
working of Project under the guidance of Electrical faculty.
REFERENCES
[1] P. Bresesti, W. Kling, R. Hendriks, and R. Vailati, “HVDC connection of offshore wind farms to the transmission system,” IEEE Trans. Energy Convers.,
vol. 22, no. 1, pp. 37–43, Mar. 2007
[2] H. Li, Z. Chen, “Overview of different wind generator systems and their comparisons”, IET Renewable Power Generation, vol. 2, no. 2, pp. 123–138, June
2008.
[3] Ming Yin, Gengyin Li, Ming Zhou, Chengyong Zhao, “Modeling of the Wind Turbine with a Permanent Magnet Synchronous Generator for Integration”,
IEEE Power Energy Soc. Gen. Meet., pp.1-6, 2007.
[4] C. Meyer, M. Hoing, A. Peterson, and R. Doncker, “Control and design of dc grids for offshore wind farms,” IEEE Transaction on Industrial Applications,
vol.43, no.6, pp. 1475-1482, November/December 2007
[5] J. Robinson, D. Jovcic, “Analysis and design of an offshore wind farms using MVDC grid”, IEEE Transaction on Power Delivery, vol. 25, no. 4, pp. 2164–
2173, October. 2010.
[6] M. Carmeli, F. Dezza, D. Rosati, G. Marchegiani, and M. Mauri “MVDC connection of offshore wind farms to the transmission system,” International
symposium on Power electronics, Electrical drives, Automation and Motion, pp.1201- 1206, 2010.
[7] H. Bahirat, B. Mork, and H. Hoidalen, “Comparison of wind farm topologies for offshore applications”, Power energy society general meeting, pp. 1-8, IEEE,
July 2012.
[8] P. Aravindhababu, S. Ganapathy, K.R. Nayar “A novel technique for the analysis of radial distribution systems”, IEEE Transactions on Power Systems, Vol.
13, Issue 1, pp. 91-95, Feb. 2000.
[9] Teng; J. H.,“A Direct Approach For Distribution System Load Flow Solutions”, IEEE Transactions on Power Delivery , vol. 18, no. 3, pp. 882-887, 2003.
[10] G. Johnson, Wind Energy Systems, Prentice Hall, 1985.
[11] Datasheet of ABB Submarine Power Cable.

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PERFORMANCE OF MVDC AND MVAC OFFSHORE WIND FARM DISTRIBUTION SYSTEM

  • 1. Journal for Research | Volume 02| Issue 12 | February 2017 ISSN: 2395-7549 All rights reserved by www.journal4research.org 35 Performance of MVDC and MVAC Offshore Wind Farm Distribution System Jenish Patel Dr. Sanjay Vyas PG Student Professor Department of Electrical Engineering Department of Electrical Engineering LDRP-ITR,KSV University LDRP-ITR,KSV University Abstract Offshore wind farms are becoming more popular because of advantages such as availability of higher and uniform wind speeds, availability of the large sea area and proximity to major load centers. Two types of wind turbine systems for wind power generation exist. Mainly DFIG (30% speed variation) and PMSG (100 % speed variation) generators are used in wind farms. To evaluate any power system network, load flow analysis is necessary. But traditional load flow methods such as the GS and NR-techniques fail to meet the requirements in both performance and robustness aspects of radial connected wind farm distribution systems. Therefore in this work, the direct approach algorithm is used for wind farms in which generators are modelled as PQ bus and transmission line modelled using π model in the algorithm. Basically two types of configuration are possible Medium Voltage AC (MVAC) and Medium Voltage DC (MVDC) offshore WFDS. Due to lower losses in MVDC offshore WFDS, a today lot of research is going on to design MVDC offshore WFDS. The results are presented for both MVAC and MVDC based offshore wind farm distribution system using MATLAB programming. Finally, a performance comparison has been made between the MVAC and MVDC based offshore Wind Farm Distribution System (WFDS). Keywords: Wind Energy, PMSG, MVAC, MVDC, Wind Farm Distribution System, Direct Load Flow Algorithm _______________________________________________________________________________________________________ I. INTRODUCTION Wind energy is the world’s fastest growing renewable energy source. Electricity generation using wind energy has been well recognized as environmentally friendly, socially beneficial, and economically competitive for many applications. As the wind power technologies evolve from one to another breakthrough, the wind power plants continue its increasing penetration in the power system. In recent years offshore wind farms are more popular because of the following advantages.  The wind resource in offshore is generally much greater, thus generating more energy from fewer turbines.  Availability of uniform wind speeds i.e. no turbulence in the wind (turbulence in wind may damage turbine blades).  Most of the world’s largest cities are located near a coastline.  Offshore wind is suitable for large scale development near the major demand centers, avoiding the need for long transmission lines.  Availability of large sea area. II. SYSTEM MODELLING Large offshore wind farms located far away from their grid connection point require HVDC to connect to shore to reduce cable losses and decrease reactive power requirements. Figure 1 shows a typical offshore wind farm using an HVDC interconnector requires individual transformers (usually located in the tower of the generator) to boost the low voltage output of a wind generator to medium voltage (MV) levels in case of AC system (MVAC) undersea cables connect to an offshore converter station to collect energy from the wind farm, a high-voltage (HV) transformer to boost the voltage, and an HVDC converter. The system under study considers PMSG for the offshore variable speed WECS and consisting of two back-back converters. Fig 2 shows MVDC distribution system is connected to grid via DC-DC converter at offshore and at onshore platform by using DC-AC converter and step down transformer.
  • 2. Performance of MVDC and MVAC Offshore Wind Farm Distribution System (J4R/ Volume 02 / Issue 12 / 009) All rights reserved by www.journal4research.org 36 Fig. 1: MVAC offshore wind farm distribution system connected to the grid Fig. 2: MVDC offshore wind farm distribution system connected to the grid III. WIND TURBINE MODELLING The wind turbine extracts power from the wind and then converts, it into mechanical power. [3]The variable wind speed available to the wind turbine can be represented by )()()()()( tvtvtvtvtv wtwgwrwaw  (1) Where )(tvw - instantaneous wind speed )(tvwa - Average wind speed )(tvwa - Ramp component )(tvwg - Gust component )(tvwt - Turbulence component. For the analysis, wind speed is taken as continuous by neglecting the gust, ramp and turbulence components. The power available in the wind is given by 3 2 1 wv VP   (2) Where  is the air density A is swept area wV is velocity of wind The wind turbine can recover only a part of that power, which is given by 2 31 2 mech w p P R V C (3) Where R is the radius of the wind turbine and CP is the power coefficient Power coefficient is a dimensionless parameter that indicates the effectiveness of the wind turbine in the transformation of kinetic energy of the wind into mechanical energy.
  • 3. Performance of MVDC and MVAC Offshore Wind Farm Distribution System (J4R/ Volume 02 / Issue 12 / 009) All rights reserved by www.journal4research.org 37 IV. STEADY STATE MODELLING OF PMSG PMSG can generate power at any wind speed between cut in and cut out speed. Here converter loss and efficiency calculation is carried out from standard datasheets (Appendix) and from [5] and the steady state model generally used for the PMSG as shown in Figure 3.6 is the d-q axes ‘Park’ model. Theory of the space vector gives the dynamic equations of the stator voltages as below. sd sd s sd e sq sq sq s sq e sd d V R I d t d V R I d t             (4) Where sdV and sqV are the d – q components of the stator voltages respectively, sdI and sqI are the d – q components of the stator currents respectively, s R is the phase resistance of the stator winding. Fig. 3: Steady state PMSG model in the rotor reference frame” The stator fluxes are given by: s d d s d r s q q s q L I L I       (5) Where, Ld and Lq are the d – q components of the stator inductances respectively r  is the flux linkage of the permanent magnet me P  is the rotor speed in elec. rad/s and P is the number of pole pairs. Combining equations (4) and (5), sd sd s sd d e q sq qs sq s sd q e d sd e r dI V R I L L I dt dI V R I L L I dt            (6) The stator active and reactive powers are given by the equations (6): )( 2 3 )( 2 3 qdqqs qqdds IVIVQ IVIVP   (7) In PMSG, QS can be maintained zero by using the machine side converter. So it is assumed to be zero. Therefore QS = 0 Finally, the efficiency of the machine can be obtained as s m e c h P P   (8) V. RESULT Fig. 4: Real Power Generated Fig. 5: Real power losses VI. CONCLUSION The steady state performance analysis of 80 MW of PMSG based Medium Voltage Alternating Current (MVAC) offshore wind farm distribution system and Medium Voltage Direct Current (MVDC) offshore wind farm distribution system connected to a High Voltage DC (HVDC) transmission line are investigated. From above conclusions it is identified that for offshore wind
  • 4. Performance of MVDC and MVAC Offshore Wind Farm Distribution System (J4R/ Volume 02 / Issue 12 / 009) All rights reserved by www.journal4research.org 38 application MVDC WFDS is superior to MVAC WFDS. MVDC offshore WFDS has also advantages like elimination of large AC transformers, reduction of the size and weight of the cable connection, reduction of weight of offshore platforms. APPENDIX  Wind turbine parameters:  Turbine rating – 2.5 MW  Rotor diameter - 80 m  Turbine height - 150 m  Hub height - 90m  Distance from offshore – 100 km  33 kV XLPE cable parameters:  Resistance- 0.075 Ω/km (for MVAC) and 0.0558 Ω/km (for MVDC)  Inductance- 0.33 mH/km (only for MVAC)  Capacitance- 0.2 μF/km (only for MVAC) ACKNOWLEDGMENT Author Jenish G Patel wishes to thank the Department of Electrical Engineering, LDRP-ITR, KSV university, Gandhinagar for the working of Project under the guidance of Electrical faculty. REFERENCES [1] P. Bresesti, W. Kling, R. Hendriks, and R. Vailati, “HVDC connection of offshore wind farms to the transmission system,” IEEE Trans. Energy Convers., vol. 22, no. 1, pp. 37–43, Mar. 2007 [2] H. Li, Z. Chen, “Overview of different wind generator systems and their comparisons”, IET Renewable Power Generation, vol. 2, no. 2, pp. 123–138, June 2008. [3] Ming Yin, Gengyin Li, Ming Zhou, Chengyong Zhao, “Modeling of the Wind Turbine with a Permanent Magnet Synchronous Generator for Integration”, IEEE Power Energy Soc. Gen. Meet., pp.1-6, 2007. [4] C. Meyer, M. Hoing, A. Peterson, and R. Doncker, “Control and design of dc grids for offshore wind farms,” IEEE Transaction on Industrial Applications, vol.43, no.6, pp. 1475-1482, November/December 2007 [5] J. Robinson, D. Jovcic, “Analysis and design of an offshore wind farms using MVDC grid”, IEEE Transaction on Power Delivery, vol. 25, no. 4, pp. 2164– 2173, October. 2010. [6] M. Carmeli, F. Dezza, D. Rosati, G. Marchegiani, and M. Mauri “MVDC connection of offshore wind farms to the transmission system,” International symposium on Power electronics, Electrical drives, Automation and Motion, pp.1201- 1206, 2010. [7] H. Bahirat, B. Mork, and H. Hoidalen, “Comparison of wind farm topologies for offshore applications”, Power energy society general meeting, pp. 1-8, IEEE, July 2012. [8] P. Aravindhababu, S. Ganapathy, K.R. Nayar “A novel technique for the analysis of radial distribution systems”, IEEE Transactions on Power Systems, Vol. 13, Issue 1, pp. 91-95, Feb. 2000. [9] Teng; J. H.,“A Direct Approach For Distribution System Load Flow Solutions”, IEEE Transactions on Power Delivery , vol. 18, no. 3, pp. 882-887, 2003. [10] G. Johnson, Wind Energy Systems, Prentice Hall, 1985. [11] Datasheet of ABB Submarine Power Cable.