Photovoltaic MPPT method based on improved grey wolf optimization algorithm

Abstract

The invention relates to a photovoltaic MPPT (Maximum Power Point Tracking) method based on an improved grey wolf optimization algorithm. According to the technical scheme, the method comprises the steps: S1, selecting N random values from [0, 1] to serve as the initial position of a grey wolf population, wherein grey wolf individuals represent the duty ratio in a photovoltaic system; S2, acquiring the output power of the photovoltaic system under the control of each duty ratio, taking the output power as the fitness of gray wolf individuals, and recording the three gray wolves with the maximum fitness as alpha wolf, beta wolf and delta wolf in sequence; S3, shrinking the search range of the grey wolf population, and updating the upper and lower limits of a search interval; S4, performing position updating on the grey wolf population by using an improved position updating formula; S5, executing reverse search, comparing with gray wolf population fitness, and updating alpha wolf, beta wolf and delta wolf; S6, judging whether a termination condition is met or not, and if yes, stopping iteration and stabilizing the photovoltaic system at the duty ratio corresponding to the alpha wolf; otherwise, returning to the step S2, and continuing iteration.

Description

technical field [0001] The invention relates to a photovoltaic MPPT method based on an improved gray wolf optimization algorithm. It is applicable to the technical field of photovoltaic power generation. Background technique [0002] With the depletion of traditional fossil energy, the development and use of renewable energy has become an inevitable trend. Solar energy is the most ideal renewable energy because it is clean, pollution-free, and has unlimited reserves. In solar power generation technology, how to reduce cost and improve power generation efficiency is the core issue. Since the output characteristics of solar cells are affected by external conditions such as light and temperature, realizing maximum power point tracking (MPPT) is the key to improving the overall system One of the key technologies of efficiency. [0003] In actual engineering, the output P-U characteristic curve of the photovoltaic array will show multi-peak characteristics due to reasons such a...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a photovoltaic MPPT method based on the improved gray wolf optimization algorithm to solve the problems of low solution accuracy and easy to fall into local optimum in the traditional gray wolf optimization algorithm.

Images