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UNDER THE GUIDANCE      PRESENTED BY
           OF             K.ANIL NAIK
  Dr. A. K. CHANDEL            09M214
ASSOCIATE PROFFESOR   POWER SYSTEMS
 EED -NIT HAMIRPUR
1.   AIM
2.   THE HYDRAULIC SYSTEM
3.   PROPOSED A NOVEL GOVERNOR
     CONTROLLER FOR HYDRO-POWER PLANT
4.   HYDRAULIC TURBINE MODEL
5.   SISO TOOL
6.   RESULTS AND DISCUSSION
7.   CONCLUSION
8.   FUTURE WORK
9.   REFENCESES
1.   Hydro power plants capture the energy of
     falling water to generate electricity.
2.   This Generated electrical power is injected
     into the power system.
3.   Day by day power system demand is
     increasing.
4.   complex power system consists of many
     connections like HVDC links, wind, and
     distributed generator etc.
The speed of the turbine-alternator is dependent upon the load
served by the alternator.
The speed of the turbine is governed by the speed governor .
The transfer function of a measurement y and controller output
u in case of a PID controller with the approximate derivative
controller is
                                    1         sTD
              GPID ( s )   K 1
                                   sTI          sTD
                                          1
                                                 N
  controller gain at high frequency.
                             lim GPID ( s)      K (1 N )
                             s
    to roll off the controller gain at high frequencies
                                            1
                                 F (s)
                                         (1 sT f ) n
The controller is implemented as

                                       1           1
             GPID _ der ( s )   K 1       sTD
                                      sTI         sT
                                                (1 D )n
                                                   N
where
                                                          TD
        Tf   is the filter time constant           Tf
                                                          N

 The value of T f can be coupled to the controller
 time constants
         N = varies from 20-100
         K = proportional gain
         n = order of filter
The dynamic performance of a hydraulic system is affected by
    the turbine-penstock characteristics


Case 1
                                                    Pm ( s )              1 sTW
Ideal loss less turbine
                                                     G(s)                   1
                                                                          1   TW
                                                                            2

Case 2                                   Pm ( s )       1 Z p tanh(Tep s )
Water hammer effect                      G(s)                   1
                                                        1           Z p tanh(Tep s )
                                                                2
                                                                                   2
                                                            n               sTep
                                                    sTep             1
                                          2Tep s            n 1              n
                                   1 e
                    tanh(Tep s )
                                          2Tep s                                   2
                                   1 e              n                    2 sTep
                                                                1
                                                    n 1               (2n 1)
T 1s
                                                                     W
                                                1
                                                                                     2
                                                                        s
Case 3                                                      1
                               P (S )
Single surge tank effect        m                                            1

                               g (S )                           0.5T 1 s
                                                                    W
                                                1
                                                                        2
                                                                    s
                                                            1
                                                                             1



                                                TW 1s                TW 2 s
                                      1
                                                            2                    2
 Case 4                                             s                   s
                                                                 1
                                          1
 Double surge tank
                                                                         2
                           Pm ( S )                     1

                           g (S )             0.5TW 1s              0.5TW 2 s
                                      1
                                                      2                          2
                                                  s                     s
                                          1                     1
                                                    1                       2
Case a: No compensation
Case b: With PI controller
Case c: With PID controller
Case d: Proposed controller
SISO TOOL is a Graphical User Interface (GUI)
No compensation




      Here gc (gain crossover frequency) is greater than   pc
      (phase crossover frequency).
KI
                                GPI ( s )   KP
                                                  s
Added one zero on the L.H.S
Added one pole at origin




                        gc




                                             pc




           Since gc should not be greater than pc for stability of the
           system. The PI controller of the speed governing system is
           stable.
KI
                             GPID ( s )   KP          KDs
                                                 s
Added two zeros on L.H.S
Added one zero at origin




                     gc




                                          pc




           gcis less than pc and hence the PID controller of the speed
          governing system is stable.
Two zeros added on the L.H.S of the s-plane
One pole at origin
One pole on the L.H.S of the s-plane




                  gc




                                              pc




          gcis less than pc and hence the Proposed controller of
          the speed governing system is stable.
Specifications                PI         PID      Proposed controller

Gain Margin                 5.83dB     9.85dB         15.7dB


Gain crossover Frequency    0.233r/s   0.217r/s       0.125r/s

Phase margin                 29.7o      34.4o           36 o


Phase crossover Frequency   0.459r/s   1.09r/s        1.43r/s


Bandwidth                   0.226r/s   0.873r/s       1.305r/s
Specifications        PI     PID     Proposed controller


Rise time            8.89s   8.75s         1.86s


Peak time            19.7s    20s          6.28s


Overshoot            54.6%   40.6%         30%

Settling time (1%)   151s    84.6s         13.4s
Specifications          PI              PID       Proposed controller

Gain Margin           5.81dB          12.8dB            17.1dB
Gain crossover
                     0.402r/s         0.154r/s         0.164r/s
Frequency
Phase margin           18.8o           30.1o            43.3 o

Phase crossover
                      0.85r/s         1.95r/s           2.11r/s
Frequency

Bandwidth            0.0448r/s        1.796r/s         1.946r/s



Specifications                  PI      PID      Proposed controller

Rise time                    3.14s     4.13s            9.73s

Peak time                    12.1s     13.1s            23.6s

Overshoot                    50.10%   35.30%            32%

Settling time (1%)           38.6s     77.9s            35.3s
Specifications             PI               PID             Proposed controller
 Gain Margin             4.75dB            8.94dB                9.38dB
Gain crossover
                        0.0279r/s         0.0245r/s             0.0202r/s
 Frequency
 Phase margin             61.5o             65.4o                 68.1 o

Phase crossover
                        0.0732r/s         0.0821r/s             0.0784r/s
  Frequency

  Bandwidth             0.0453r/s         0.0576r/s             0.0582r/s



     Specifications                PI                 PID          Proposed controller

       Rise time                  44s               25.6s                   65.5s

       Peak time                  63.9s             70.7s         no peak time

      Overshoot                 29.3%               6.22%                   0%

   Settling time (1%)             154s              130s                   124.9s
Proposed controller
Specifications          PI         PID       Proposed controller
 Gain Margin          3.07dB      4.07dB          4.35dB
Gain crossover
                     0.0282r/s   0.0251r/s       0.0242r/s
  Frequency
 Phase margin          61.9o       65o             66.1 o
Phase crossover
                     0.0685r/s   0.0689r/s       0.0688r/s
  Frequency
  Bandwidth          0.0403r/s   0.0438r/s       0.0466r/s




  Specifications          PI         PID       Proposed controller

    Rise time           20.9s       23.2s             24s

    Peak time           72.4s       73.1s             73.4s

   Overshoot           30.4%        19.1%             15.7

Settling time (1%)      350s         258s             250s
Proposed controller
A new robust PID-low pass filter controller is
proposed for hydro power system by considering the
different effects. The proposed controller has been
found to enhance the stability of the hydraulic unit.
Different cases have been considered and compared
to justify the suitability of the proposed controller.
1.Implementation of proposed controller in
  hydro-power plant.
2.This hydro generator connect with
  interconnected power system.
3.Create sudden disturbance.
4.Analysis of generator parameters .
1.   P. Kundur, Power system stability and control, McGraw-Hill, 1994.
2.   A. J. Lsaksson and S. F. Graebe, “Derivative filter is an integral part of
     PID design,” IEE Proc., 2002, pp. 41-5.
3.    K. J. Astrom, “PID Control,” control system design, 2004.
4.   Bartle, A., “Hydropower potential and development activities”, Energy
     Policy, 2002 (30), pp. 1231-1239.
5.   Dincer I., “On energy conservation policies and implementation
     practices”, International Journal of Energy Research 27, 2003, pp. 687-
     702.
6.   Frey, G. W., Linke, D. J., “Hydropower as a renewable and sustainable
     energy resource meeting global energy challenges in a reasonable way”,
     Energy Policy, 2002 (30), pp. 1261-1265.
7.   Kaygusuz, K., “Hydropower and the World’s Energy Future”, Energy
     Sources 26, 2004, pp. 215-224.
8.   Paish, O., “Small hydro power: technology and current status Renewable
     and Sustainable Energy Reviews”, 2002 6(6), pp. 537-556.
9. Yuksek, O., Kaygusuz, K., “Small hydropower plants as a
     renewable energy source”, Energy Sources, Vol:1, No:3, 2006, pp.
     279-290.
10. Kishor N, Saini R.P, Sing S.P, “A review on hydropower plant
  models and control,” Renewable and Sustainable Energy Reviews,
  2007(11): pp. 776-796.
11. Saadat Hadi, Power system analysis, McGraw-Hill; 1999.
12. Hiyama T, “ Application of rule based stabilizing controller to
  power systems,” IEE Proc C, 1989 (136), pp. 175–181.
13. Tripathy SC, Chandramohanan PS, and Balasubramanium R,” Self
  tuning regulator for    adaptive load frequency control of power
  system,” J Inst Eng, EL79, 1998, pp. 103–108.
14. Valk I, Vajta M, Keviczky L, Haber R and Hettessy J, “ Adaptive
  load–frequency control of Hungrian power system,” Automatica,
  1985 (21), pp. 129–137.
15. Eitelberg E , “A regulating and tracking PI(D) controller,” Int J Control, 1987,
  45(1), pp. 91–5.
16. C.J. Zhang, Y.H. Wang, “ Fuzzy PI controller of high precision and its application
  in the temperature control (In Chinese),” Automatic Instruments, vol.23, No.7,
  2002, pp. 21-23.
17. W. Hu, F.Z. Wang, F.S. Yu, “Study on the fuzzy PI control strategy of the water
  level of the steam dome in industrial boilers (In Chinese),” Journal of Jiaozuo
  Technical Institute, vol.20, No.4, 2001, pp. 273-277.
18. Astrom, K.J., H. Panagopoulos, “Design of PI Controllers based on Optimization,”
  Automatica, 34 (5), 1998 pp. 585-601.
19. Dash PK, Liew AC and Mishra BR, “ An adaptive PID stabilizer for power
  systems using fuzzy logic,” Electr Power Syst Res 1998, pp. 213–222.
20. L.J. Zhang, P. Han, “ Optimizing design of PID control parameters in coordination
  control systems (In Chinese),” Computer Simulation, No.3, 1992, pp. 9-19.
21. K. J. Art man and T. Hlgglund., “PID Controllers Theory. Design and Tuning,”
  intrument Society of America, 2nd edition, 1995.
22. Kristiansson. B, “PID controllers - design and evaluation,” PhD
  Thesis, Chalmers University of Technology, Goteborg, Sweden,2003.
23. D. Vrancic, B. Kristiansson, S. Strmcnik, and P. M. Oliveira,
  “Improving performance/activity ratio for PID controllers,” Int. Conf.
  Control and Automation, 2005, pp. 834-839.
24. A. Khodabakhshian and M. Edrisi, “A new robust PID load frequency
  controller,” Control Engg. Practice, vol. 16, 2008, pp. 1069-1080.
25. D. Xue, Y. Q. Chen, and D. P. Atherton, “Linear feedback control,”
  Society for industrial and applied mathematics, 2007, pp. 183-235.
26. G. P. Liu and S. Daley, “Optimal-tuning nonlinear PID control of
  hydraulic systems,” Control Engg. Practice, vol. 8, 2000, pp. 1045-
  1053.
27. A. Khodabakhshian and R. Hooshmand, “A new PID controller design
  for automatic generation control of hydro power systems,” Elect.
  Power and Energy Systems, vol. 32, 2010, pp. 375-382.
Anil2003

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Anil2003

  • 1. UNDER THE GUIDANCE PRESENTED BY OF K.ANIL NAIK Dr. A. K. CHANDEL 09M214 ASSOCIATE PROFFESOR POWER SYSTEMS EED -NIT HAMIRPUR
  • 2. 1. AIM 2. THE HYDRAULIC SYSTEM 3. PROPOSED A NOVEL GOVERNOR CONTROLLER FOR HYDRO-POWER PLANT 4. HYDRAULIC TURBINE MODEL 5. SISO TOOL 6. RESULTS AND DISCUSSION 7. CONCLUSION 8. FUTURE WORK 9. REFENCESES
  • 3. 1. Hydro power plants capture the energy of falling water to generate electricity. 2. This Generated electrical power is injected into the power system. 3. Day by day power system demand is increasing. 4. complex power system consists of many connections like HVDC links, wind, and distributed generator etc.
  • 4.
  • 5. The speed of the turbine-alternator is dependent upon the load served by the alternator. The speed of the turbine is governed by the speed governor .
  • 6.
  • 7. The transfer function of a measurement y and controller output u in case of a PID controller with the approximate derivative controller is 1 sTD GPID ( s ) K 1 sTI sTD 1 N controller gain at high frequency. lim GPID ( s) K (1 N ) s to roll off the controller gain at high frequencies 1 F (s) (1 sT f ) n
  • 8. The controller is implemented as 1 1 GPID _ der ( s ) K 1 sTD sTI sT (1 D )n N where TD Tf is the filter time constant Tf N The value of T f can be coupled to the controller time constants N = varies from 20-100 K = proportional gain n = order of filter
  • 9.
  • 10. The dynamic performance of a hydraulic system is affected by the turbine-penstock characteristics Case 1 Pm ( s ) 1 sTW Ideal loss less turbine G(s) 1 1 TW 2 Case 2 Pm ( s ) 1 Z p tanh(Tep s ) Water hammer effect G(s) 1 1 Z p tanh(Tep s ) 2 2 n sTep sTep 1 2Tep s n 1 n 1 e tanh(Tep s ) 2Tep s 2 1 e n 2 sTep 1 n 1 (2n 1)
  • 11. T 1s W 1 2 s Case 3 1 P (S ) Single surge tank effect m 1 g (S ) 0.5T 1 s W 1 2 s 1 1 TW 1s TW 2 s 1 2 2 Case 4 s s 1 1 Double surge tank 2 Pm ( S ) 1 g (S ) 0.5TW 1s 0.5TW 2 s 1 2 2 s s 1 1 1 2
  • 12. Case a: No compensation Case b: With PI controller Case c: With PID controller Case d: Proposed controller
  • 13. SISO TOOL is a Graphical User Interface (GUI)
  • 14.
  • 15.
  • 16.
  • 17. No compensation Here gc (gain crossover frequency) is greater than pc (phase crossover frequency).
  • 18. KI GPI ( s ) KP s Added one zero on the L.H.S Added one pole at origin gc pc Since gc should not be greater than pc for stability of the system. The PI controller of the speed governing system is stable.
  • 19.
  • 20. KI GPID ( s ) KP KDs s Added two zeros on L.H.S Added one zero at origin gc pc gcis less than pc and hence the PID controller of the speed governing system is stable.
  • 21.
  • 22. Two zeros added on the L.H.S of the s-plane One pole at origin One pole on the L.H.S of the s-plane gc pc gcis less than pc and hence the Proposed controller of the speed governing system is stable.
  • 23.
  • 24. Specifications PI PID Proposed controller Gain Margin 5.83dB 9.85dB 15.7dB Gain crossover Frequency 0.233r/s 0.217r/s 0.125r/s Phase margin 29.7o 34.4o 36 o Phase crossover Frequency 0.459r/s 1.09r/s 1.43r/s Bandwidth 0.226r/s 0.873r/s 1.305r/s
  • 25. Specifications PI PID Proposed controller Rise time 8.89s 8.75s 1.86s Peak time 19.7s 20s 6.28s Overshoot 54.6% 40.6% 30% Settling time (1%) 151s 84.6s 13.4s
  • 26. Specifications PI PID Proposed controller Gain Margin 5.81dB 12.8dB 17.1dB Gain crossover 0.402r/s 0.154r/s 0.164r/s Frequency Phase margin 18.8o 30.1o 43.3 o Phase crossover 0.85r/s 1.95r/s 2.11r/s Frequency Bandwidth 0.0448r/s 1.796r/s 1.946r/s Specifications PI PID Proposed controller Rise time 3.14s 4.13s 9.73s Peak time 12.1s 13.1s 23.6s Overshoot 50.10% 35.30% 32% Settling time (1%) 38.6s 77.9s 35.3s
  • 27. Specifications PI PID Proposed controller Gain Margin 4.75dB 8.94dB 9.38dB Gain crossover 0.0279r/s 0.0245r/s 0.0202r/s Frequency Phase margin 61.5o 65.4o 68.1 o Phase crossover 0.0732r/s 0.0821r/s 0.0784r/s Frequency Bandwidth 0.0453r/s 0.0576r/s 0.0582r/s Specifications PI PID Proposed controller Rise time 44s 25.6s 65.5s Peak time 63.9s 70.7s no peak time Overshoot 29.3% 6.22% 0% Settling time (1%) 154s 130s 124.9s
  • 29. Specifications PI PID Proposed controller Gain Margin 3.07dB 4.07dB 4.35dB Gain crossover 0.0282r/s 0.0251r/s 0.0242r/s Frequency Phase margin 61.9o 65o 66.1 o Phase crossover 0.0685r/s 0.0689r/s 0.0688r/s Frequency Bandwidth 0.0403r/s 0.0438r/s 0.0466r/s Specifications PI PID Proposed controller Rise time 20.9s 23.2s 24s Peak time 72.4s 73.1s 73.4s Overshoot 30.4% 19.1% 15.7 Settling time (1%) 350s 258s 250s
  • 31. A new robust PID-low pass filter controller is proposed for hydro power system by considering the different effects. The proposed controller has been found to enhance the stability of the hydraulic unit. Different cases have been considered and compared to justify the suitability of the proposed controller.
  • 32. 1.Implementation of proposed controller in hydro-power plant. 2.This hydro generator connect with interconnected power system. 3.Create sudden disturbance. 4.Analysis of generator parameters .
  • 33. 1. P. Kundur, Power system stability and control, McGraw-Hill, 1994. 2. A. J. Lsaksson and S. F. Graebe, “Derivative filter is an integral part of PID design,” IEE Proc., 2002, pp. 41-5. 3. K. J. Astrom, “PID Control,” control system design, 2004. 4. Bartle, A., “Hydropower potential and development activities”, Energy Policy, 2002 (30), pp. 1231-1239. 5. Dincer I., “On energy conservation policies and implementation practices”, International Journal of Energy Research 27, 2003, pp. 687- 702. 6. Frey, G. W., Linke, D. J., “Hydropower as a renewable and sustainable energy resource meeting global energy challenges in a reasonable way”, Energy Policy, 2002 (30), pp. 1261-1265. 7. Kaygusuz, K., “Hydropower and the World’s Energy Future”, Energy Sources 26, 2004, pp. 215-224. 8. Paish, O., “Small hydro power: technology and current status Renewable and Sustainable Energy Reviews”, 2002 6(6), pp. 537-556.
  • 34. 9. Yuksek, O., Kaygusuz, K., “Small hydropower plants as a renewable energy source”, Energy Sources, Vol:1, No:3, 2006, pp. 279-290. 10. Kishor N, Saini R.P, Sing S.P, “A review on hydropower plant models and control,” Renewable and Sustainable Energy Reviews, 2007(11): pp. 776-796. 11. Saadat Hadi, Power system analysis, McGraw-Hill; 1999. 12. Hiyama T, “ Application of rule based stabilizing controller to power systems,” IEE Proc C, 1989 (136), pp. 175–181. 13. Tripathy SC, Chandramohanan PS, and Balasubramanium R,” Self tuning regulator for adaptive load frequency control of power system,” J Inst Eng, EL79, 1998, pp. 103–108. 14. Valk I, Vajta M, Keviczky L, Haber R and Hettessy J, “ Adaptive load–frequency control of Hungrian power system,” Automatica, 1985 (21), pp. 129–137.
  • 35. 15. Eitelberg E , “A regulating and tracking PI(D) controller,” Int J Control, 1987, 45(1), pp. 91–5. 16. C.J. Zhang, Y.H. Wang, “ Fuzzy PI controller of high precision and its application in the temperature control (In Chinese),” Automatic Instruments, vol.23, No.7, 2002, pp. 21-23. 17. W. Hu, F.Z. Wang, F.S. Yu, “Study on the fuzzy PI control strategy of the water level of the steam dome in industrial boilers (In Chinese),” Journal of Jiaozuo Technical Institute, vol.20, No.4, 2001, pp. 273-277. 18. Astrom, K.J., H. Panagopoulos, “Design of PI Controllers based on Optimization,” Automatica, 34 (5), 1998 pp. 585-601. 19. Dash PK, Liew AC and Mishra BR, “ An adaptive PID stabilizer for power systems using fuzzy logic,” Electr Power Syst Res 1998, pp. 213–222. 20. L.J. Zhang, P. Han, “ Optimizing design of PID control parameters in coordination control systems (In Chinese),” Computer Simulation, No.3, 1992, pp. 9-19. 21. K. J. Art man and T. Hlgglund., “PID Controllers Theory. Design and Tuning,” intrument Society of America, 2nd edition, 1995.
  • 36. 22. Kristiansson. B, “PID controllers - design and evaluation,” PhD Thesis, Chalmers University of Technology, Goteborg, Sweden,2003. 23. D. Vrancic, B. Kristiansson, S. Strmcnik, and P. M. Oliveira, “Improving performance/activity ratio for PID controllers,” Int. Conf. Control and Automation, 2005, pp. 834-839. 24. A. Khodabakhshian and M. Edrisi, “A new robust PID load frequency controller,” Control Engg. Practice, vol. 16, 2008, pp. 1069-1080. 25. D. Xue, Y. Q. Chen, and D. P. Atherton, “Linear feedback control,” Society for industrial and applied mathematics, 2007, pp. 183-235. 26. G. P. Liu and S. Daley, “Optimal-tuning nonlinear PID control of hydraulic systems,” Control Engg. Practice, vol. 8, 2000, pp. 1045- 1053. 27. A. Khodabakhshian and R. Hooshmand, “A new PID controller design for automatic generation control of hydro power systems,” Elect. Power and Energy Systems, vol. 32, 2010, pp. 375-382.