Research On Photovoltaic Power System And Its Realization Based On Matlab-DSP

Photovoltaic power system is one of the new energy power generation systemresearch projectes, the related research is studied in this paper.For the output characteristic of solar array may be affected by the solar panel ofaging, independent correction model of solar array is discussed which based ondisturbance observation method. In order to improve the accuracy and dynamiccharacteristic of the maximum power point tracking algorithm, the traditional algorithmsare analyzed and compared, and then a new maximum power point tracking algorithm isdiscussed which based on the model of photovoltaic array. In order to make the vectorcontrol strategy can be used in single-phase photovoltaic grid inverter, a virtual signal isconstructed to establish dq vector model of the single-phase photovoltaic inverter, andthe time optimal control algorithm of current is researched. In the traditional phase lockalgorithm of photovoltaic grid inverter, the capture of rising edge to reset integrator easyfailure because of many times above zero at similar time, this paper discusses a kind ofphase lock method which using software filtering solves the problem. In order to getideal control effect, IIR and FIR digital filters design method is studied with Matlab fordifferent signal, through the simulation results, IIR digital filter is suggesed for thecontrolled signal processing in photovoltaic power system. To improve the efficiency ofsoftware development, it is studied that using of Matlab auxiliary TI-DSP2000series forthe development of software method, the law of corresponding important integrationfunction modules is introduced, especially the Ramp Generator and Ramp Controller.After that, combined with the hardware system, a Matlab simulation platform is set upfor the true hardware system, and corresponding software design is completed.In order to verify the designed software system in the actual control system, the offline software design is direct applicated in practical control system, the relative errorbetween test results and simulation results are under5%. Finally, the researchachievement of this paper is summarized, the next step is forecasted.