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Neural network quasi-PR photovoltaic grid-connected inverter control method

A neural network and control method technology, applied in the field of photovoltaic grid-connected inverters, achieves the effects of fast dynamic response performance, high degree of self-adaptation, good self-adjustment ability and anti-interference ability

Inactive Publication Date: 2018-06-05
张喜军
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Problems solved by technology

However, the traditional quasi-PR control parameter tuning method has great limitations.

Method used

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  • Neural network quasi-PR photovoltaic grid-connected inverter control method
  • Neural network quasi-PR photovoltaic grid-connected inverter control method
  • Neural network quasi-PR photovoltaic grid-connected inverter control method

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Embodiment Construction

[0015] specific implementation

[0016] like figure 1 As shown, the system adopts unipolar pulse width modulation SPWM (sinusoidal pulse width modulation) method, the input terminal is a solar photovoltaic cell, and the insulated gate bipolar transistor IGBT (insulated gate bipolar transistor) of V1~V4 is controlled by the SPWM control signal, Convert direct current to alternating current, output voltage UAB is filtered by LC filter, and then connected to power grid through isolation transformer. The high-frequency attenuation characteristics of the isolation transformer are used to reduce the impact of load mutation and short circuit on the public power grid. The system adopts a current closed-loop control strategy, and the control objective is to make the output current and the grid voltage at the same frequency and phase.

[0017] like figure 2 As shown, PR control is a control method based on intimal control. A further improved form of PR control, quasi-PR control. P...

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Abstract

The invention discloses a neural network quasi-PR photovoltaic grid-connected inverter control method, which adopts a single-phase full-bridge inverter, a quasi-PR controller and a neural network parameter regulator. Compared with quasi-PR control, the neural network quasi-PR photovoltaic grid-connected inverter control method is characterized in that a total harmonic distortion ratio of current tracking based on BP neural network quasi-PR control is reduced, the dynamic response performance is faster and the system self-adaptability is higher. PR parameters set by means of a neural network are considered to be globally optimal solutions of the control system, enable the whole system to have better self-adjustment capability and anti-interference capability, make quality of output waveforms higher and response time shorter, and have high application value.

Description

technical field [0001] The invention relates to a photovoltaic grid-connected inverter, in particular to a control method of a neural network quasi-PR photovoltaic grid-connected inverter. Background technique [0002] With the development of distributed photovoltaic grid-connected inverter systems, more and more distributed power generation systems are connected to the grid. As the core device connecting the photovoltaic cell array and the grid in the photovoltaic grid-connected system, the output voltage of the inverter will increase. affect the power grid to a certain extent. Therefore, with the development of photovoltaic grid-connected system technology, the control requirements for inverters are also getting higher and higher. [0003] Traditional linear control algorithms such as proportional integral differential PID (proportion integration differentiation) control, repetitive control, and hysteresis control are simple and easy to implement, and are widely used in s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/38
CPCH02J3/383Y02E10/56
Inventor 张喜军
Owner 张喜军
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