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The shuffled frog leaping algorithm (SFLA) is presented, to optimally design multiple proportional–integral (PI) controllers of the static synchronous compensator (STATCOM) system with the purpose of improving the transient stability of a grid-connected wind farm. The control strategy of the STATCOM system depends on a sinusoidal pulse width modulation voltage source converter, which is controlled by the cascaded PI control scheme. The response surface methodology is used to establish a second-order fitted model of the transient voltage responses at the point of common coupling in terms of PI controllers’ parameters. For realistic responses, a three-mass drive train model is used for the wind turbine generator system because of its great influence on the dynamic analyses. The SFLA code is built using MATLAB software. The effectiveness of optimised PI-controlled STATCOM by the SFLA is then compared to that optimised by genetic algorithms technique taking into consideration symmetrical and unsymmetrical fault conditions. The proposed control scheme is applied to a real grid-connected wind farm system at Hokkaido Island, Japan. The validity of the proposed system is verified by the simulation results, which are performed using PSCAD/EMTDC software environment. With the proposed SFLA-based STATCOM, the transient stability of a grid-connected wind farm can be enhanced.
References
-
-
1)
-
2)
-
3)
-
A. Khorsandi ,
A. Alimoradi ,
B. Vahidi ,
S.H. Hosseinian
.
Hybrid shuffled frog leaping algorithm and Nelder-Mead simplex search for optimal reactive power dispatch.
IET Gener. Transm. Distrib.
,
2 ,
249 -
256
-
4)
-
6. Gaztañaga, H., Etxeberria-Otadui, I., Ocnasu, D., Bacha, S.: ‘Real-time analysis of the transient response improvement of fixed-speed wind farms by using a reduced-scale STATCOM prototype’, IEEE Trans. Power Syst., 2007, 22, (2), pp. 658–666 (doi: 10.1109/TPWRS.2007.895153).
-
5)
-
22. Alimardani, A., Mazaheri, B., Abdi, B., Hosseinian, S.H.: ‘Modified shuffled frog-leaping algorithm in company with neural networks for harmonic distortion minimization in real-time control applications of programmed pulse-width modulation inverters’, IET Power Electron., 2011, 4, (8), pp. 943–950 (doi: 10.1049/iet-pel.2010.0271).
-
6)
-
18. Elbehairy, H., Elbeltagi, E., Hegazy, T.: ‘Comparison of two evolutionary algorithms for optimization of bridge deck repairs’, Comput. Aided Civil Infrastruct. Eng., 2006, 21, pp. 561–572 (doi: 10.1111/j.1467-8667.2006.00458.x).
-
7)
-
E. Elbeltagi ,
T. Hegazy ,
D. Grierson
.
Comparison among five evolutionary-based optimization algorithms.
Adv. Eng. Inf.
,
1 ,
43 -
53
-
8)
-
D.J. Trudnowski ,
A. Gentile ,
J.M. Khan ,
E.M. Petritz
.
Fixed-speed wind-generator and wind-park modeling for transient stability studies.
IEEE Trans. Power Syst.
,
4 ,
1911 -
1917
-
9)
-
20. Luo, X.H., Yang, Y., Li, X.: ‘Solving TSP with shuffled frog-leaping algorithm’. Proc. ISDA 2008, 2008, vol. 3, pp. 228–232.
-
10)
-
4. Muyeen, S.M., Mannan, M.A., Ali, M.H., Takahashi, R., Murata, T., Tamura, J.: ‘Stabilization of wind turbine generator system by STATCOM’, IEE J. Trans. Power Energy, 2006, 126-B, (10), pp. 1073–1082 (doi: 10.1541/ieejpes.126.1073).
-
11)
-
C. Han ,
A.Q. Huang ,
M.E. Baran
.
STATCOM impact study on the integration of a large wind farm into a weak loop power system.
IEEE Trans. Energy Convers.
,
1 ,
226 -
233
-
12)
-
37. Muyeen, S.M., Hasanien, H.M., Al-Durra, A.: ‘Transient stability enhancement of wind farms connected to a multi-machine power system by using an adaptive ANN-controlled SMES’, Energy Convers. Manage., 2014, 78, (2), pp. 412–420 (doi: 10.1016/j.enconman.2013.10.039).
-
13)
-
30. Muyeen, S., Hasan Ali, M., Takahashi, R.: ‘Comparative study on transient stability analysis of wind turbine generator system using different drive train models’, IET Renew. Power Gener., 2007, 1, pp. 131–141 (doi: 10.1049/iet-rpg:20060030).
-
14)
-
10. Slepchenkov, M.N., Smedley, K.M., Wen, J.: ‘Hexagram-converter-based-STATCOM for voltage support in fixed-speed wind turbine generation systems’, IEEE Trans. Ind. Electron., 2011, 58, (4), pp. 1120–1131 (doi: 10.1109/TIE.2010.2052536).
-
15)
-
29. Heier, S.: ‘Grid integration of wind energy conversion system’ (Wiley, Chichester, UK, 1998).
-
16)
-
32. Hasanien, H.M., Abd-Rabou, A.S., Sakr, S.M.: ‘Design optimization of transverse flux linear motor for weight reduction and performance improvement using response surface methodology and genetic algorithms’, IEEE Trans. Energy Convers., 2010, 25, (3), pp. 598–605 (doi: 10.1109/TEC.2010.2050591).
-
17)
-
A. Arulampalam ,
M. Barnes ,
N. Jenkins
.
Power quality and stability improvement of a wind farm using STATCOM supported with hybrid battery energy storage.
IEE Proc., Gener. Transm. Distrib.
,
701 -
710
-
18)
-
19. Rahimi-Vahed, A., Mirzaei, A.H.: ‘Solving a bi-criteria permutation flow-shop problem using shuffled frog-leaping algorithm’. Soft Computing, New York, 2007.
-
19)
-
13. Wang, L., Truong, D.-N.: ‘Dynamic stability improvement of four parallel-operated PMSG-based offshore wind turbine generators fed to a power system using a STATCOM’, IEEE Trans. Power Deliv., 2013, 28, (1), pp. 111–119 (doi: 10.1109/TPWRD.2012.2222937).
-
20)
-
9. Hasan Ali, M., Wu, B.: ‘Comparison of stabilization methods for fixed-speed wind generator systems’, IEEE Trans. Power Deliv., 2010, 25, (1), pp. 323–331 (doi: 10.1109/TPWRD.2009.2035423).
-
21)
-
J. Ebrahimi ,
S.H. Hosseinian ,
G.B. Gharehpetian
.
Unit commitment problem solution using shuffled frog leaping algorithm.
IEEE Trans. Power Syst.
,
573 -
581
-
22)
-
Z. Saad-Saoud ,
M.L. Lisboa ,
J.B. Ekanayake ,
N. Jenkins ,
G. Strbac
.
Application of STATCOMs to wind farms.
IEE Proc., Gener. Transm. Distrib.
,
5 ,
511 -
516
-
23)
-
H.M. Hasanien ,
S.M. Muyeen
.
Design optimization of controller parameters used in variable speed wind energy conversion system by genetic algorithms.
IEEE Trans. Sust. Energy
,
2 ,
200 -
208
-
24)
-
12. Wang, L., Hsiung, C.-T.: ‘Dynamic stability improvement of an integrated grid-connected offshore wind farm and marine-current farm using a STATCOM’, IEEE Trans. Power Syst., 2011, 26, (2), pp. 690–698 (doi: 10.1109/TPWRS.2010.2061878).
-
25)
-
33. Hasanien, H.M.: ‘Particle swarm design optimization of transverse flux linear motor for weight reduction and improvement of thrust force’, IEEE Trans. Ind. Electron., 2011, 58, (9), pp. 4048–4056 (doi: 10.1109/TIE.2010.2100338).
-
26)
-
M. Eusuff ,
K. Lansey ,
F. Pasha
.
Shuffled frog-leaping algorithm: a memetic meta-heuristic for discrete optimization.
Eng. Optim.
,
2 ,
129 -
154
-
27)
-
28)
-
29)
-
27. Hasanien, H.M., Ali, S.Q., Muyeen, S.M.: ‘Wind generator stability enhancement by using an adaptive artificial neural network-controlled superconducting magnetic energy storage’. Proc. IEEE Int. Conf. Electrical Machines and Systems, (ICEMS), Sapporo, Japan, October 2012.
-
30)
-
31. Anderson, P.M., Bose, A.: ‘Stability simulation of wind turbine systems’, IEEE Trans. Power Appar. Syst., 1983, PAS-102, (12), pp. 3791–3795 (doi: 10.1109/TPAS.1983.317873).
-
31)
-
M.S. El-Moursi ,
B. Bak-Jensen ,
M.H. Abdel-Rahman
.
Novel STATCOM controller for mitigating SSR and damping power system oscillations in a series compensated wind park.
IEEE Trans. Power Electron.
,
2 ,
429 -
441
-
32)
-
1. Global Wind Energy Council (GWEC): ‘Annual market update 2012’. .
-
33)
-
11. Qiao, W., Harley, R.G., Venayagamoorthy, G.K.: ‘Coordinated reactive power control of a large wind farm and a STATCOM using heuristic dynamic programming’, IEEE Trans. Energy Convers., 2009, 24, (2), pp. 493–503 (doi: 10.1109/TEC.2008.2001456).
-
34)
-
23. Bijami, E., Askari, J., Farsangi, M.M.: ‘Design of stabilizing signals for power system damping using generalized predictive control optimized by a new hybrid shuffled frog leaping algorithm’, IET Gener. Transm. Distrib., 2012, 6, (10), pp. 1036–1045 (doi: 10.1049/iet-gtd.2011.0770).
-
35)
-
30. Muyeen, S.M., Hasanien, H.M., Tamura, J.: ‘Reduction of frequency fluctuation for wind farm connected power systems by an adaptive artificial neural network controlled energy capacitor system’, IET Renew. Power Gener., 2012, 6, (4), pp. 226–235 (doi: 10.1049/iet-rpg.2010.0126).
-
36)
-
14. Wang, L., Truong, D.-N.: ‘Stability enhancement of DFIG-based offshore wind farm fed to a multi-machine system using a STATCOM’, IEEE Trans. Power Syst., 2013, 28, (3), pp. 2882–2889 (doi: 10.1109/TPWRS.2013.2248173).
-
37)
-
24. Goroohi Sardou, I., Banejad, M., Hooshmand, R., Dastfan, A.: ‘Modified shuffled frog leaping algorithm for optimal switch placement in distribution automation system using a multi-objective fuzzy approach’, IET Gener. Transm. Distrib., 2012, 6, (6), pp. 493–502 (doi: 10.1049/iet-gtd.2011.0177).
-
38)
-
16. Hasanien, H.M., Muyeen, S.M.: ‘A Taguchi approach for optimum design of proportional-integral controllers in cascaded control scheme’, IEEE Trans. Power Syst., 2013, 28, (2), pp. 1636–1644 (doi: 10.1109/TPWRS.2012.2224385).
-
39)
-
3. Chen, Z., Blaabjerg, F., Hu, Y.: ‘Voltage recovery of dynamic slip control wind turbines with a STATCOM’. Proc. Int. Power Electronic Conf. (IPEC05), 2005, vol. S29-5, pp. 1093–1100.
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