Photovoltaic power generation system reactive power control method based on probabilistic fuzzy neural network
A photovoltaic power generation system and fuzzy neural network technology, applied in the field of solar photovoltaic power generation, can solve the problem of not considering the inverter capacity and the maximum allowable value of output current, off-grid, single-phase grounding, phase-to-phase short-circuit fault, and two-phase grounding fault And other issues
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[0117] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings.
[0118] Such as figure 1 As shown, a method for reactive power control of a photovoltaic power generation system based on a probabilistic fuzzy neural network of the present invention comprises the following steps:
[0119] S1. Establish a mathematical model of the photovoltaic power generation system, perform power calculation and synchrolock, and calculate the maximum active power and reactive power injected into the grid by the photovoltaic power generation system according to constraints such as the degree of voltage drop and the limit value of the inverter output current allowance;
[0120] Such as figure 2 As shown, the main circuit of the photovoltaic power generation system includes a photovoltaic array, a Boost chopper circuit, a three-phase inverter, a grid-connected reactor L, a grid-connected switch SSR, a grid-connected transfor...
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