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The power–voltage (P–V) curve of a photovoltaic (PV) power generation system under partially shaded conditions (PSCs) is largely non-linear and multimodal, and hence, global optimisation techniques are required for maximum power point tracking. A traditional optimisation algorithm is proposed here, namely random search method (RSM) for tracking the global maximum power point in a solar power system under PSC. The RSM is based on the use of random numbers in finding the global optima and is a gradient independent method. The major advantage of RSM is its very simple computational steps, which requires very less memory. The performance of RSM in tracking the peak power is studied for a variety of shading patterns and the tracking performance is compared with two-stage perturb and observe (P&O) and population-based particle swarm optimisation (PSO) methods. The simulation results strongly suggest that the RSM is far superior to two-stage P&O method and better than PSO method. Experimental results obtained from a 120-watt prototype PV system validate the effectiveness of the proposed scheme.
References
-
-
1)
-
3. Ian, R.H.: ‘Envisaging feed-in tariffs for solar photovoltaic electricity: European lessons for Canada’, Renew. Sustain. Energy Rev., 2005, 9, pp. 51–68 (doi: 10.1016/j.rser.2004.01.010).
-
2)
-
30. Baba, N.: ‘Convergence of a random optimization method for constrained optimization problems’, J. Optim. Theory Appl., 1981, 33, (4), pp. 451–461 (doi: 10.1007/BF00935752).
-
3)
-
T.L. Nguyen ,
K.-S. Low
.
A global maximum power point tracking scheme employing DIRECT search algorithm for photovoltaic systems.
IEEE Trans. Ind. Electron
,
10 ,
3456 -
3467
-
4)
-
21. Hiyama, T., Kitabayashi, K.: ‘Neural network based estimation of maximum power generation from pv module using environmental information’, IEEE Trans. Energy Convers., 1997, 12, (3), pp. 241–247 (doi: 10.1109/60.629709).
-
5)
-
9. Veerachary, M., Senjyu, T., Uezato, K.: ‘Feedforward maximum power point tracking of PV systems using fuzzy controller’, IEEE Trans. Aerosp. Electron. Syst., 2002, 38, (3), pp. 969–981 (doi: 10.1109/TAES.2002.1039412).
-
6)
-
25. Liu, Y.-H., Huang, S.-C., Huang, J.-W., Liang, W.-C.: ‘A particle swarm optimization-based maximum power point tracking algorithm for PV systems operating under partially shaded conditions’, IEEE Trans. Energy Convers., 2012, 27, (4), pp. 1027–1035 (doi: 10.1109/TEC.2012.2219533).
-
7)
-
T. Noguchi ,
S. Togashi ,
R. Nakamoto
.
Short-current pulse-based maximum-power-point tracking method for multiple photovoltaic-and-converter module system.
IEEE Trans. Ind. Electron.
,
1 ,
217 -
223
-
8)
-
E. Syafaruddin ,
T. Hiyama
.
Artificial neural network-polar coordinated fuzzy controller based maximum power point tracking control under partially shaded conditions.
IET Renew. Power Gener.
,
2 ,
239 -
253
-
9)
-
32. Sundareswaran, K., Kumar, A.P.: ‘Voltage harmonic elimination in PWM AC chopper using genetic algorithm’, IEE Proc. Electr. Power Appl., 2004, 151, (1), pp. 26–31 (doi: 10.1049/ip-epa:20040061).
-
10)
-
17. Kobayashi, K., Takano, I., Sawada, Y.: ‘A study of a two stage maximum power point tracking control of a photovoltaic system under partially shaded insolation conditions’, Solar Energy Mater. Solar Cells, 2006, 90, pp. 2975–2988 (doi: 10.1016/j.solmat.2006.06.050).
-
11)
-
23. Eberhart, R., Kennedy, J.: ‘A new optimizer using particle swarm theory’. Proc. Sixth Int. Symp. MHS, 1995, pp. 39–43.
-
12)
-
7. Ishaque, K., Salam, Z., Amjad, M., Mekhilef, S.: ‘An improved particle swarm optimization (PSO)-based MPPT for PV with reduced steady-state oscillation’, IEEE Trans. Power Electron., 2012, 27, (8), pp. 3627–3638 (doi: 10.1109/TPEL.2012.2185713).
-
13)
-
4. Seng, L.Y., Lalchand, G., Sow Lin, G.M.: ‘Economical, environmental and technical analysis of building integrated photovoltaic systems in Malaysia’, Energy Policy, 2008, 36, pp. 2130–2142 (doi: 10.1016/j.enpol.2008.02.016).
-
14)
-
J. Enslin ,
M. Wolf ,
D. Snyman ,
W. Swiegers
.
Integrated photovoltaic maximum power point tracking converter.
IEEE Trans. Ind. Electron.
,
6 ,
769 -
773
-
15)
-
20. Renaudineau, H., Houari, A., Martin, J.P., Pierfederici, S., Tabar, F.M., Gerardin, B.: ‘A new approach in tracking maximum power under partially shaded conditions with consideration of converter losses’, Sol. Energy, 2011, 85, (11), pp. 2580–2588 (doi: 10.1016/j.solener.2011.07.018).
-
16)
-
31. Sundareswaran, K., Srinivasa Rao Nayak, P., Durga Venkatesh, Ch.: ‘Induction motor starting dynamics optimization using random search method’. Proc. Advances in Control and Optimization of Dynamic Systems ACODS-2012, 2012, pp. 1–4.
-
17)
-
14. Ahmed, N., Miyatake, M.: ‘A novel maximum power point tracking for photovoltaic applications under partially shaded insolation conditions’, Electr. Power Syst. Res., 2008, 78, (5), pp. 777–784 (doi: 10.1016/j.epsr.2007.05.026).
-
18)
-
K.H. Husein ,
I. Muta ,
T. Hoshino ,
M. Osakada
.
Maximum power tracking: an algorithm for rapidly changing atmospheric conditions.
IEE Proc. Gener. Transm. Distrib.
,
59 -
64
-
19)
-
V. Scarpa ,
S. Buso ,
G. Spiazzi
.
Low-complexity MPPT technique exploiting the PV module MPP locus characterization.
IEEE Trans. Ind. Electron.
,
5 ,
1531 -
1538
-
20)
-
6. Subudhi, B., Pradhan, R.: ‘A comparative study on maximum power point tracking techniques for photovoltaic power systems’, IEEE Trans. Sustain. Energy, 2013, 4, (1), pp. 89–98 (doi: 10.1109/TSTE.2012.2202294).
-
21)
-
5. Ji, Y.H., Jung, D.Y., Kim, J.G., Kim, J.H., Lee, T.W., Won, C.Y.: ‘A real maximum power point tracking method for mismatching compensation in PV array under partially shaded conditions’, IEEE Trans. Power Electron., 2011, 26, (4), pp. 1001–1009 (doi: 10.1109/TPEL.2010.2089537).
-
22)
-
F. Solis ,
R. Wets
.
Minimization by random search techniques.
Math. Oper. Res.
,
19 -
30
-
23)
-
2. Pilawa-Podgurski, R.C.N., Perreault, D.J.: ‘Submodule integrated distributed maximum power point tracking for solar photovoltaic applications’, IEEE Trans. Power. Electron., 2013, 28, (6), pp. 2957–2967 (doi: 10.1109/TPEL.2012.2220861).
-
24)
-
1. Mutoh, N., Ohno, M., Inoue, T.: ‘A method for MPPT control while searching for parameters corresponding to weather conditions for PV generation systems’, IEEE Trans. Ind. Electron., 2006, 53, (4), pp. 1055–1065 (doi: 10.1109/TIE.2006.878328).
-
25)
-
21. Alajmi, B.N., Ahmed, K.H., Finney, S.J., Williams, B.W.: ‘A maximum power point tracking technique for partially shaded photovoltaic systems in microgrids’, IEEE Trans. Ind. Electron., 2013, 60, (4), pp. 1596–1606 (doi: 10.1109/TIE.2011.2168796).
-
26)
-
27. Ahmed, J., Salam, Z.: ‘A soft computing MPPT for PV system based on cuckoo search algorithm’. Fourth Int. Conf. Power Engineering, Energy and Electrical Drives (POWERENG), 2013, Istanbul, May 2013, pp. 558–562.
-
27)
-
24. Miyatake, M., Veerachary, M., Toriumi, F., Fujii, N., Ko, H.: ‘Maximum power point tracking of multiple photovoltaic arrays: a PSO approach’, IEEE Trans. Aerosp. Electron. Syst., 2011, 47, (1), pp. 367–380 (doi: 10.1109/TAES.2011.5705681).
-
28)
-
28. Beveridge, G.S.G., Schechter, R.S.: ‘Optimisation: theory and practice’ (McGraw-Hill, New York, 1970).
-
29)
-
Y.J. Wang ,
P.C. Hsu
.
Analytical modelling of partial shading and different orientation of photovoltaic modules.
IET Renew. Power Gener.
,
3 ,
272 -
282
-
30)
-
L. Piegari ,
R. Rizzo
.
Adaptive perturb and observe algorithm for photovoltaic maximum power point tracking.
IET Renew. Power Gener.
,
317 -
328
-
31)
-
44. Hsieh, G.-C., Hsieh, H.-I., Tsai, C.-Y., Wang, C.-H.: ‘Photovoltaic power-increment-aided incremental-conductance Mppt with two-phased tracking’, IEEE Trans. Power Electron., 2013, 28, (6), pp. 2895–2911 (doi: 10.1109/TPEL.2012.2227279).
-
32)
-
H. Patel ,
V. Agarwal
.
Maximum power point tracking scheme for PV systems operating under partially shaded conditions.
IEEE Trans. Ind. Electron.
,
4 ,
1689 -
1698
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