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Utilization of Small Sized SMES for Wind
disturbance In Wind Penetrated Power
System
1
Dr S Zahid Nabi Dar
and
Dr Shailendra Baraniya
CMR Institute of Techonology
Bengaluru
Introduction
2
• A Power system in presence of inertial energy support from
wind turbines is studied.
• Incorporation of small sized energy storage device is
detailed in fig 1.
• To Make system practical steam reheat and governor dead
band are incorporated in modelling
Figure 1: Incorporation of ESS with Wind penetrated Power System
+
+
1
B
1
1
R
s
K l 1
G1
sT
1
0
/ω
2
N
1
N


C1
0
R1
H1
sT
1
ω
T/
sα
1


R1
sT
1
s
1
NACE
GA Tuned
SMES
s
T13
2
P1
P1
sT
1
K

-
+
Governor
deadband
Turbine
ACE
net1
ΔP
sup1
ΔP
L
ΔP
T1
ΔP
1
f

tie1
ΔP
*
sm1
P
sm1
I
sm1
P

-
-
+
-
-
GRC
DFIG
+
-
+
Working Principle of SMES
3
Figure 2: Incorporation of ESS for Power Reversal
• A type 2 class B second quadrant chopper is utilized for reversal of
current by varying the duty ratio.
• The ESS here is SMES , acting like an inductor coil and current
reversal leads to power reversal
• This modules operates in three modes standby releasing and
charging by varying the duty ratio.
Mathematical Model of ESS
The chopper current as well as the voltage through the SMES coil at any time instant can
be portrayed by the following equations:-
VSMES=SSMESVDC (1)
(2)
The chopper current at a certain instant can be established by the below
given equations:-
Ics = ism 0 < T ≤ dt – 0.5t
(3)
Ssmes Level is refered as :- -1/0/+1
Where (-)1 means discharging, 0 means standby, and 1 means absorbing
4
DC
smes
smes
smes
smes V
d
I
R
dt
dI
L *
)
1
2
( 


Wind Penetrated Power System
• DFIG is utilized for wind penetration with
conventional Power system
• An additional torque loop is developed to utilize the
inertia present in turbine and blades of DFIG in case
of power outage.
• A small sized energy storage device is incorporated
for bidirectional energy transfer.
• In case of power demand the energy is released by
energy storage system and in event of energy
surplus the energy is stored in the energy storage
system
5
Results
6
Fig. 2 Plots for electromechanical oscillations for
a wind disturbance
Results
7
Figure 5 :Plots for SMES Variables for Wind
disturbance
Discussion on Results
Ser NO
%Reduction ΔPD Δf1 Δf2
1 FOPID-DFIG 0.01 46.5 70.8 50.6
2 PID-DFIG 0.01 20.3 56.7 27.39
3 DFIG and GA
tuned SMES
0.01 99.65 99.65 79.48
8
TIE
P

TABLE. 1. Improvement in Results
The SMES current remains within the upper and lower limits of
350 A and 150 A, as shown in figure 5.
As a result, SMES is not in immediate danger. There is also a
99.65 percent decrease in frequency and a 79.48 percent
divergence in Tie line damping.
Conclusion
• Herein we have considered a two area power system with wind
penetration from 2MW Induction motor based DFIG and a 100 kW SMES
in each area.
• It has been discovered that combining a small energy storage device with
DFIG results in a profitable and productive operation, as well as a
significant reduction in electromechanical oscillations.
• Future research could focus on establishing and maintaining SMES
power limits, as well as integrating the grid with solar photovoltaics
electrical vehicles for more diverse functioning
• Further incorporation of such system with weak power systems can
provide energy storage support
• Moreover power systems with high-penetration of wind can incorporate
SMES
9
References
• Ekanayake JB, Jenkins N, Strbac G. Frequency Response from Wind Turbines. Wind Engineering.
2008;32(6):573-586.
• GONZALEZ-LONGATT, F.M. Impact of emulated inertia from wind power on under-frequency protection
schemes of future power systems. J. Mod. Power Syst. Clean Energy 2016 ( 4): 211–218
• https://www.enercon.de/fileadmin/Redakteur/Medien-
Portal/broschueren/pdf/ENERCONSustainability_Report_2020.pdf
• Y. Liu, J. R. Garcia, T. J. King, Y. Liu. (2015.). Frequency regulation and oscillation damping contributions
of variable-speed wind generators in the U.S. eastern interconnection, IEEE Transactions on Sustainable
Energy: 6(3):951-958
• F. Teng and G. Strbac. (2016). Assessment of the role and value of frequency response support from wind
plants. IEEE Transaction on Sustainable Energy :7(2):586-595
• Carrillo C, Obando Montaño A, J. Cidrás (2013). Review of power curve modelling for wind turbines.
Renewable and Sustainable Energy Reviews: 21: 572–581
• Z. Wu, D.W. Gao, T. Gao (2017). State-of-the-art review on frequency response of wind power plants in
power systems. Journal of Modern Power Systems and Clean Energy:6(1):1-6
• Ngamroo, I and Vachirasricirikul, S (2016). Design of optimal SMES controller considering SOC and
robustness for micro grid stabilization. IEEE Transactions on Applied superconductivity: 26(7): 5403005
• Ramtharan, G.; J.B. Ekanayake, N. Jenkins (2007). Frequency support from doubly fed induction
generator wind turbines. IET Renewable Power Generation. 1(1):.3-9.
• J.B. Ekanayake, Jenkins, Strbac (2000). Frequency response from wind turbines. Wind Engineering: 32(6):
573-586.
• Gevorgian V, Zhang Y. and Ela E (2015). Investigating the impacts of wind generation participation in
interconnection
10
References
• Ela E, Gevorgian V, Tuohy A (2014). Market designs for the primary frequency response ancillary service. In IEEE Transactions on Power Systems 29(1):421–
431
• Ghosh S, Kamalasadan Senroy (2016). Doubly Fed Induction Generator (DFIG)-Based Wind Farm Control Framework for Primary Frequency and Inertial
Response Application. IEEE Transactions on Power Systems 31(3): 1861-1871
• Vidyanandan KV and Senroy N (2013). Primary frequency regulation by deloaded wind turbines using variable droop. IEEE Transactions on Power Systems
28(2):837–846
• He W, Yuan X and Hu J (2016). Inertia provision and estimation of PPL-based DFIG wind turbines. IEEE Transactions on Power Systems 32(1):510–521
• Wang S, Hu J, and Yuan X (2015). Virtual synchronous control for grid-connected DFIG-based wind turbine. IEEE Journal of Emerging and Selected Topics in
Power Electronics 3(4):932–944
• Rutledge L and Flynn D (2016). Emulated inertial response from wind turbines: gain scheduling and resource co-ordination. IEEE Transactions on Power
Systems 31(5):3747–3755
• Gonzalez-Langat FM (2016). Impact of emulated inertia from wind power on under-frequency protection schemes of future power systems. J Modern Power
System Clean Energy 4(2): 211–218
• Van de Jan V, Jeroen DMD, Bart M (2016). Droop control as an alternative inertial response strategy for the synthetic inertia on wind turbines. IEEE
Transactions Power System 31(2):1129–1138
• S Zahid Nabi Dar, Mairaj-ud-Din Mufti Inertial Response Support in LFC by Linearized Delta Torque Model Based DFIG: IEEE Paper Presented at Reva
University Bengaluru
• Mufti, MD, Iqbal, SJ, Lone, SA, et al. (2015) Supervisory adaptive predictive control scheme for supercapacitor energy storage System. IEEE Systems Journal
9(3): 1020–1030.
• Wang, S, Tomsovic, K (2019) Fast frequency support from wind turbine generators with auxiliary dynamic demand control. IEEE Transactions on Power
Systems 34(5): 3340–3348.
• Zhang, Y, Liu, X, Qu, B (2017) Distributed model predictive load frequency control of multi-area power system with DFIGs. IEEE/CAA Journal of Automatica
Sinica 4(1): 125–135.
• Dar SZN. Ultra battery application for adaptive model predictive control in wind penetrated power systems. Wind Engineering. July 2021.
doi:10.1177/0309524X211028662
•
• . S Zahid, Nabi Dar, Javed Sheikh, Iqbal, Shamim Ahmad lone: Analysing two area power system with genetically tuned superconductor magnetic energy
storage system July 2017 DOI: 10.1109/ICICICT1.2017.8342658 Conference: 2017 International Conference on Intelligent Computing, Instrumentation and
Control Technologies (ICICICT)
• Dar S.Z.N. and Mufti M. D (2017). Enhanced load frequency control response with integration of Supervisory controlled superconducting magnetic energy
storage system in wind – penetrated two- area power systems. International Journal of Wind Engineering 41(5):330-342
• Oshnoei A., Khezri R., Muyeen S.M., Blaabjerg F.On the contribution of wind farms in automatic generation control: review and new control approach Appl.
Sci., 8 (2018), pp. 1-23
• Dahiya, P.; Sharma, V.; Sharma, R.N. Optimal generation control of interconnected power system including DFIG-based wind turbine. IETE J. Res. 2015, 61,
285–300
•
•
•
11
12

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10th August 2022smes for kerala conference.pptx

  • 1. Utilization of Small Sized SMES for Wind disturbance In Wind Penetrated Power System 1 Dr S Zahid Nabi Dar and Dr Shailendra Baraniya CMR Institute of Techonology Bengaluru
  • 2. Introduction 2 • A Power system in presence of inertial energy support from wind turbines is studied. • Incorporation of small sized energy storage device is detailed in fig 1. • To Make system practical steam reheat and governor dead band are incorporated in modelling Figure 1: Incorporation of ESS with Wind penetrated Power System + + 1 B 1 1 R s K l 1 G1 sT 1 0 /ω 2 N 1 N   C1 0 R1 H1 sT 1 ω T/ sα 1   R1 sT 1 s 1 NACE GA Tuned SMES s T13 2 P1 P1 sT 1 K  - + Governor deadband Turbine ACE net1 ΔP sup1 ΔP L ΔP T1 ΔP 1 f  tie1 ΔP * sm1 P sm1 I sm1 P  - - + - - GRC DFIG + - +
  • 3. Working Principle of SMES 3 Figure 2: Incorporation of ESS for Power Reversal • A type 2 class B second quadrant chopper is utilized for reversal of current by varying the duty ratio. • The ESS here is SMES , acting like an inductor coil and current reversal leads to power reversal • This modules operates in three modes standby releasing and charging by varying the duty ratio.
  • 4. Mathematical Model of ESS The chopper current as well as the voltage through the SMES coil at any time instant can be portrayed by the following equations:- VSMES=SSMESVDC (1) (2) The chopper current at a certain instant can be established by the below given equations:- Ics = ism 0 < T ≤ dt – 0.5t (3) Ssmes Level is refered as :- -1/0/+1 Where (-)1 means discharging, 0 means standby, and 1 means absorbing 4 DC smes smes smes smes V d I R dt dI L * ) 1 2 (   
  • 5. Wind Penetrated Power System • DFIG is utilized for wind penetration with conventional Power system • An additional torque loop is developed to utilize the inertia present in turbine and blades of DFIG in case of power outage. • A small sized energy storage device is incorporated for bidirectional energy transfer. • In case of power demand the energy is released by energy storage system and in event of energy surplus the energy is stored in the energy storage system 5
  • 6. Results 6 Fig. 2 Plots for electromechanical oscillations for a wind disturbance
  • 7. Results 7 Figure 5 :Plots for SMES Variables for Wind disturbance
  • 8. Discussion on Results Ser NO %Reduction ΔPD Δf1 Δf2 1 FOPID-DFIG 0.01 46.5 70.8 50.6 2 PID-DFIG 0.01 20.3 56.7 27.39 3 DFIG and GA tuned SMES 0.01 99.65 99.65 79.48 8 TIE P  TABLE. 1. Improvement in Results The SMES current remains within the upper and lower limits of 350 A and 150 A, as shown in figure 5. As a result, SMES is not in immediate danger. There is also a 99.65 percent decrease in frequency and a 79.48 percent divergence in Tie line damping.
  • 9. Conclusion • Herein we have considered a two area power system with wind penetration from 2MW Induction motor based DFIG and a 100 kW SMES in each area. • It has been discovered that combining a small energy storage device with DFIG results in a profitable and productive operation, as well as a significant reduction in electromechanical oscillations. • Future research could focus on establishing and maintaining SMES power limits, as well as integrating the grid with solar photovoltaics electrical vehicles for more diverse functioning • Further incorporation of such system with weak power systems can provide energy storage support • Moreover power systems with high-penetration of wind can incorporate SMES 9
  • 10. References • Ekanayake JB, Jenkins N, Strbac G. Frequency Response from Wind Turbines. Wind Engineering. 2008;32(6):573-586. • GONZALEZ-LONGATT, F.M. Impact of emulated inertia from wind power on under-frequency protection schemes of future power systems. J. Mod. Power Syst. Clean Energy 2016 ( 4): 211–218 • https://www.enercon.de/fileadmin/Redakteur/Medien- Portal/broschueren/pdf/ENERCONSustainability_Report_2020.pdf • Y. Liu, J. R. Garcia, T. J. King, Y. Liu. (2015.). Frequency regulation and oscillation damping contributions of variable-speed wind generators in the U.S. eastern interconnection, IEEE Transactions on Sustainable Energy: 6(3):951-958 • F. Teng and G. Strbac. (2016). Assessment of the role and value of frequency response support from wind plants. IEEE Transaction on Sustainable Energy :7(2):586-595 • Carrillo C, Obando Montaño A, J. Cidrás (2013). Review of power curve modelling for wind turbines. Renewable and Sustainable Energy Reviews: 21: 572–581 • Z. Wu, D.W. Gao, T. Gao (2017). State-of-the-art review on frequency response of wind power plants in power systems. Journal of Modern Power Systems and Clean Energy:6(1):1-6 • Ngamroo, I and Vachirasricirikul, S (2016). Design of optimal SMES controller considering SOC and robustness for micro grid stabilization. IEEE Transactions on Applied superconductivity: 26(7): 5403005 • Ramtharan, G.; J.B. Ekanayake, N. Jenkins (2007). Frequency support from doubly fed induction generator wind turbines. IET Renewable Power Generation. 1(1):.3-9. • J.B. Ekanayake, Jenkins, Strbac (2000). Frequency response from wind turbines. Wind Engineering: 32(6): 573-586. • Gevorgian V, Zhang Y. and Ela E (2015). Investigating the impacts of wind generation participation in interconnection 10
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