Femia N, Petrone G, Spagnuolo G, et al. Optimization of perturb and observe maximum power point tracking method[J]. IEEE Transactions on Power Electronics, 2005, 20(4): 963-973.
[2]
Kim I S, Kim M B, Youn M J. New maximum power point tracker using sliding-mode observer for estimation of solar array current in the grid-connected photovoltaic system[J]. IEEE Transactions on Industrial Electronics, 2006, 53(4): 1027-1035.
[3]
Xiao W, Lind M G J, Dunford W G, et al. Real-time identification of optimal operating points in photovoltaic power systems[J]. IEEE Transactions on Industrial Electronics, 2006, 53(4): 1017-1026.
[4]
Yona A, Senjyu T, Funabashi T. Application of recurrent neural network to short-term-ahead generating power forecasting for photovoltaic system[C]. IEEE Power Engineering Society General Meeting, 2007.
[5]
Tsikalakis A G, Hatziargyriou Nikos D. Centralized control for optimizing microgrids operation[J]. IEEE Transactions on Energy Conversion, 2008, 23(1): 241-248.
[6]
Kem E C, Culachenski E M, Ken G A. Cloud effects on distributed photovoltaic generation: slow transients at the gardner, massachusetts photovoltaic experiment[J]. IEEE Transactions on Energy Conversion, 1989, 4(2): 184-190.
[7]
Sera D, Teodorescu R, Hantschel J, et al. Optimized maximum power point tracker for fast-changing environmental conditions[J]. IEEE Transactions on Industrial Electronics, 2008, 55(7):2629-2637.
Chakraborty S, Weiss M D, Simoes M G. Distributed intelligent energy management system for a single-phase high-frequency AC microgrid[J]. IEEE Transactions on Industrial Electronics, 2007, 54(1): 97-109.
[11]
Jewell W T, Unruh T D. Limits on cloud-induced fluctuation in photovoltaic generation[J]. IEEE Transactions on Energy Conversion, 1999, 5(1):8-14.
[12]
Mellit A, Arab A H, Khorissi N, et al. An ANFIS-based forecasting for Solar radiation data from sunshine duration and ambient temperature[C]. IEEE Power Engineering Society General Meeting, 2007.