Key Technology Optimization and Development of New Energy Enterprises of Photovoltaic Power Generation
DOI:
https://doi.org/10.13052/dgaej2156-3306.3716Keywords:
Photovoltaic power generation, adaptive control algorithm, inverter.Abstract
In order to improve the algorithm of time-varying parameters and unknown
parameters adaptability, avoid assuming the approximate part deviation
caused by the algorithm, this paper proposes a adaptive control algorithm, the
algorithm based on lyapunov direct method to predict the output voltage in
the process of estimating each parameter in a reasonable manner to parameter
estimation error with the actual output current and current automatic adjust-
ment. The adaptive control of current tracking is realized and the error caused
by assuming voltage or current and neglecting line resistance is avoided in
the predictive current control algorithm. The simulation results show that
the tracking current can track the target current with high precision from
t = 0 in the presence of random noise, and the power factor is close to 1,
showing a good steady-state performance. Frequency domain waveform, the
calculated harmonic distortion rate is 2.2418%, waveform quality is good and
each harmonic amplitude is small. Conclusion: adaptive control algorithm
can quickly and accurately realize current tracking and greatly suppress the
noise.
Downloads
References
Guinot B , Champel B , Montignac F. Techno-economic study of a PV-
hydrogen-battery hybrid system for off-grid power supply: Impact of
performances’ ageing on optimal system sizing and competitiveness[J].
International Journal of Hydrogen Energy, 40(1), pp. 623–632, 2015.
Kaur R , Krishnasamy V , Kandasamy N K . Optimal sizing of wind–
PV-based DC microgrid for telecom power supply in remote areas[J]. Iet
Renewable Power Generation, 12(7), pp. 859–866, 2018.
P García-Trivio, Torreglosa J P , Jurado F. Optimized Operation of
Power Sources of a PV/Battery/Hydrogen-Powered Hybrid Charging
Station for Electric and Fuel Cell Vehicles[J]. IET Renewable Power
Generation, 13(16), pp. 3022–3032, 2019.
Zeng W , Sun M , Chen B. Comprehensive optimized configuration of
regional small hydropower and new energy system[J]. Energy Procedia,
, pp. 6366–6372, 2019.
None. UK Energy Policy in Transition[J]. International Journal of
Ambient Energy, 37(1), pp. 1–1, 2016.
Eum J Y, Choi H J, Cho S H. PV Power Prediction Models for City
Energy Management System based on Weather Forecast Information[J].
Transactions of the Korean Institute of Electrical Engineers, 64(3),
pp. 393–398, 2015.
Varma R K, Rahman S A, Vanderheide T. New Control of PV Solar Farm
as STATCOM (PV-STATCOM) for Increasing Grid Power Transmission
Limits During Night and Day[J]. IEEE Transactions on Power Delivery,
(2), pp. 755–763, 2015.
Subramanian V, Wolf E E, Kamat P V. Influence of Metal/Metal Ion
Concentration on the Photocatalytic Activity of TiO2Au Composite
Nanoparticles[J]. Langmuir, 19(2), pp. 469–474, 2016.
Rinne S A, F García-Santamaría, Braun P V. Embedded cavities and
waveguides in three-dimensional silicon photonic crystals[J]. Nature
Photonics, 2(1), pp. 52–56, 2015.
Radke A, Gissibl T, T Klotzbücher. Three-Dimensional Bichiral Plas-
monic Crystals Fabricated by Direct Laser Writing and Electroless
Silver Plating[J]. Advanced Materials, 23(27), pp. 3018–3021, 2015.
