Predicting, optimizing and controlling method for maximum power point of photovoltaic array under partially shaded condition

Abstract

The invention relates to a predicting, optimizing and controlling method for a maximum power point of a photovoltaic array under a partially shaded condition. The predicting, optimizing and controlling method for the maximum power point of the photovoltaic array under the partially shaded condition comprises the following steps: S1, constructing a photovoltaic array kinematics projectile motion model by combining a current-voltage characteristic curve of a photovoltaic array to similarity of a mass point projectile motion trail; S2, solving the photovoltaic array kinematics projectile motion model by using an improved particle swarm algorithm, and acquiring the maximum power point, voltage at the position of the maximum power point and a voltage range in which the maximum power point is located; S3, optimizing the maximum power point by using a voltage closed-loop control method or an exponential variable-step-size conductance increment method to obtain control signals; and S4, controlling switch-on and switch-off of a Boost circuit by the acquired control signals, and controlling the maximum output power of the photovoltaic array in real time. Compared with the prior art, the predicting, optimizing and controlling method for the maximum power point of the photovoltaic array under the partially shaded condition has the advantages that maximum power point global optimization isimplemented, and the efficiency of a photovoltaic power generation system is improved.

Description

technical field [0001] The invention relates to the technical field of photovoltaic power generation, in particular to a method for predicting and optimizing the maximum power point of a photovoltaic array under partial shadow. Background technique [0002] Energy plays an extremely important role in creating new opportunities and promoting economic growth, while the development of the world economy and population growth in turn contribute to the world's energy demand. The core problems of my country's energy structure are as follows: first, the energy structure is dominated by coal, and coal accounts for more than 2 / 3 of my country's primary energy production and consumption; second, the issue of oil security is becoming more and more prominent. The degree of dependence will reach 60%, and my country's energy security, especially oil security, is becoming more and more prominent; third, soot-type pollution has brought serious problems to the ecological environment, while pow...

AI Technical Summary

Problems solved by technology

[0004] (1) The cost of photovoltaic cells is high;

[0005] (2) The photoelectric conversion efficiency is low;

[0006] (3) The hazards of partial occlusion

However, intelligent algorithms often have the disadvantages of many control parameters, complex control ideas, and high requirements for hardware, which restricts the engineering practice application of these algorithms to a certain extent, and as the operating environment of photovoltaic arrays becomes more and more complex, Due to the shading of buildings, trees or dust, it often happens that the surface of the photovoltaic array receives uneven light intensity. At this time, the power-voltage characteristic curve of the photovoltaic array will have multiple peaks.

Some intelligent algorithms, like the traditional maximum power tracking method, lack the ability of global optimization, and are only suitable for single-peak maximum power tracking systems. When tracking multi-peak systems, it will cause tracking failure

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