A photovoltaic module output p-v characteristic optimization device and its control method

Abstract

The invention discloses a photovoltaic module output P-V characteristic optimizing device and a control method thereof. The photovoltaic module output P-V characteristic optimizing device is characterized by comprising a network formed by a battery pack, a discharging bridge arm, a capacitor bridge arm and a switch bridge arm. Based on the optimizing device, the switch bridge arm is controlled by a specific driving method to achieve good single power extreme point output effects. The photovoltaic module output P-V characteristic optimizing device is simple in circuit, low in cost, capable of effectively solving the problem that a general maximum power tracing algorithm is prone to being caught in a partial extreme point in the partial shadow condition, suitable for various photovoltaic power supply systems with serious partial shadow problems, widely applied to small photovoltaic systems of photovoltaic lighting, especially suitable for integrated converters of photovoltaic modules, good in compatibility and obvious in effect.

Description

technical field [0001] The invention relates to the technical field of photovoltaic power generation, in particular to an output device for a photovoltaic module in a photovoltaic power supply system and a control method thereof. Background technique [0002] With the increasing shortage of energy sources, the development of new energy technologies has gradually become a focus of attention. Among them, safe, clean and reliable solar energy has become an important part of new energy and has begun to play a role in various fields. Therefore, solar power generation technology is one of the important strategies to solve the global energy crisis and environmental problems and achieve sustainable development. [0003] In the photovoltaic power generation system, since the output power-voltage (P-V) characteristics of photovoltaic modules are nonlinear and have a maximum power point, and its maximum power point changes with factors such as illumination and ambient temperature, in ...

AI Technical Summary

Problems solved by technology

Since there are multiple extreme points on the P-V characteristic curve of photovoltaic modules, the commonly used perturbation and observation method and admittance increment method tend to fall into local extreme points, which cannot ensure that photovoltaic modules operate at the true global maximum power point, resulting in energy loss, inefficiency

[0005] In order to improve the output power of photovoltaic modules with multiple power extreme points, there are currently related strategies dedicated to improving and proposing new global maximum power point tracking algorithms. These methods have a common problem: when photovoltaic modules have multiple After the extreme point, these methods can only passively search for the current global maximum power point of the photovoltaic module. At this time, the power of the global maximum power point is much smaller than the output power of the current photovoltaic module, and its efficiency is still low; The parameter design and implementation of the algorithm are more complicated

Images