A novel photovoltaic inverter control method based on BP neural network and two-mode structure repetitive control

A BP neural network, photovoltaic inverter technology, applied in photovoltaic power generation, AC network circuit, AC network to reduce harmonics/ripples and other directions, to achieve the effect of good dynamic response characteristics, good robustness and fast response speed

Inactive Publication Date: 2019-01-11
JIANGSU UNIV
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Problems solved by technology

However, in reality, the grid voltage cannot always be in an ideal state. In order to obtain accurate phase

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  • A novel photovoltaic inverter control method based on BP neural network and two-mode structure repetitive control
  • A novel photovoltaic inverter control method based on BP neural network and two-mode structure repetitive control
  • A novel photovoltaic inverter control method based on BP neural network and two-mode structure repetitive control

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Embodiment Construction

[0046] The specific embodiment of the present invention is described in detail below in conjunction with accompanying drawing:

[0047] Such as figure 1 As shown, a new photovoltaic inverter control method based on BP neural network and dual-mode structure repetitive control. Its topology includes photovoltaic array, DC side capacitor, photovoltaic grid-connected inverter, LCL filter, and AC grid;

[0048] Such as figure 2 As shown, a new photovoltaic inverter control method based on BP neural network and dual-mode structure repetitive control, first connects the output of the photovoltaic grid-connected inverter to the power grid after being filtered by LCL, and performs sampling; step 1 includes the following steps:

[0049] Step 1.1. First, the output of the photovoltaic grid-connected inverter is filtered by the LCL and connected to the power grid, and can be further sent to the improved PLL by collecting the voltage on the grid side;

[0050] Step 1.2, and then obtain...

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Abstract

The invention discloses a novel photovoltaic inverter control method based on BP neural network and dual-mode structure repetitive control. According to the invention the output of the photovoltaic grid-connected inverter is connected to a power network after LCL filtering to carry out a sampling link. The phase theta extracted by the improved PLL is fed into the dqalpha beta transform. The difference between the reference voltage of the DC side and the actual voltage of the DC side is inputted into the PI controller; Obtaining the actual current signal ig through abcalpha beta transformationfrom the sampled current of the power network side. The difference between the reference grid-connected current ig and the actual current signal ig in the alpha beta coordinate system after the dqalpha beta transformation is subjected to the alpha beta abc transformation, and then is fed into the composite controller together with the actual current signal ig and the reference grid-connected current ig. The signal processed by the composite controller is sent to the notch filter for processing, and then the processed signal is sent to the SVPWM module, so as to generate periodic switching signals for controlling the grid-connected photovoltaic inverter, thereby suppressing the harmonics of the grid-connected photovoltaic inverter into the power grid. The compensation effect of the invention is superior to the traditional photovoltaic grid-connected inverter.

Description

technical field [0001] The invention belongs to the field of power electronics, and in particular relates to a novel photovoltaic inverter control method based on BP neural network and dual-mode structure repetitive control. Background technique [0002] With the increasingly serious energy and environmental problems, wind power, photovoltaic power generation and other new energy grid-connected power generation technologies have attracted more and more attention, and have become an important part of the energy sustainable development strategy. Photovoltaic power generation is currently the main use of solar energy. one of the ways. Photovoltaic power generation systems mainly have two modes of independent operation and grid-connected operation, of which the latter develops quite rapidly and its application scale is getting larger and larger. As the core device connecting the power generation system and the grid, the performance of the grid-connected inverter directly determ...

Claims

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Application Information

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IPC IPC(8): H02J3/38H02J3/01
CPCH02J3/383H02J3/01Y02E10/56Y02E40/40
Inventor 郑宏顾雨冰许象明卞瑞郭其金
Owner JIANGSU UNIV
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