A photovoltaic module maximum power tracking method, system and storage medium

Abstract

The invention discloses a photovoltaic module maximum power tracking method, system and storage medium. The method includes: obtaining several voltage components based on the open circuit voltage of the photovoltaic module; importing the several voltage components into the original radial basis neural network model, and outputting Evaluate the PV characteristic curve; extract the voltage maximum value set and the voltage minimum value set from the evaluated PV characteristic curve, and obtain the first voltage corresponding to the global maximum power value from the voltage maximum value set; obtain the voltage maximum value set in the voltage maximum value set All local pair data constitute the first pair set; extract the second voltage corresponding to the global optimal power from the first pair set, and judge whether the second voltage is equal to the first voltage; if so, the current maximum output of the photovoltaic module The voltage corresponding to the power is updated to the second voltage, and the current maximum output power is updated to the global optimal power. The invention can adapt to the application scene where the environment of the photovoltaic module changes dynamically, and realizes fine management of the photovoltaic power station.

Description

technical field [0001] The invention relates to the technical field of photovoltaic power generation, in particular to a method, system and storage medium for maximum power tracking of a photovoltaic module. Background technique [0002] The photovoltaic modules used in photovoltaic power plants are composed of multiple photovoltaic cells connected in series and parallel. When some cells of photovoltaic modules are affected by physical factors such as being blocked, aging, and damaged, the volt-ampere characteristics of photovoltaic modules The curve will produce a mismatch effect, and according to the different conditions of the mismatch, it will also affect the associated photovoltaic PV characteristic curve, that is, the photovoltaic PV characteristic curve will not maintain the original parabolic shape, but has multiple convex surfaces and The concave surface will undoubtedly greatly increase the difficulty of tracking the maximum power of photovoltaic modules. For the ...

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Problems solved by technology

[0002] The photovoltaic modules used in photovoltaic power plants are composed of multiple photovoltaic cells connected in series and parallel. When some cells of photovoltaic modules are affected by physical factors such as being blocked, aging, and damaged, the volt-ampere characteristics of photovoltaic modules The curve will produce a mismatch effect, and according to the different conditions of the mismatch, it will also affect the associated photovoltaic PV characteristic curve, that is, the photovoltaic PV characteristic curve will not maintain the original parabolic shape, but has multiple convex surfaces and Concave surface will undoubtedly greatly increase the difficulty of tracking the maximum power of photovoltaic modules

For the traditional maximum power tracking work, the hill-climbing algorithm, which is relatively simple and convenient to implement, is used alone to quickly find the poles on the photovoltaic PV characteristic curve. In the application scenario where the environment of the component changes dynamically

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