Optimal dip angle calculation method for photovoltaic panel on the basis of particle swarm optimization

Abstract

The invention discloses an optimal dip angle calculation method for a photovoltaic panel on the basis of particle swarm optimization, and can be applied to the scientific research and the engineeringapplication of a solar energy relevant field. In the method, on the basis of the particle swarm optimization and a solar radiation calculation model, a method for determining the optimal dip angle ofthe photovoltaic template is put forward. On the basis of the boundary condition of the dip angle of the photovoltaic template, the maximum surface solar radiation value of the photovoltaic panel is taken as a target function, and the particle swarm optimization is applied to search the optimal value of a variable so as to establish the optimal dip angle calculation method for the photovoltaic panel on the basis of the particle swarm optimization. The method is high in accuracy and reliability, the evaluation requirements of the optimal dip angle of the photovoltaic panel can be met, and the data is a data basis in fields including photovoltaic power generation fields and agriculture, meteorology and building fields.

Description

technical field [0001] The invention relates to a method for calculating the optimal inclination angle of a photovoltaic panel based on a particle swarm algorithm, and belongs to the technical field of photovoltaic power generation. Background technique [0002] In recent years, environmental pressures and escalating energy costs have created a series of dilemmas in power production. Like many developing countries, the consumption of more and more energy fuels has revived China's economy and exposed the potential crisis of supply disruption. Therefore, renewable energy will play an increasingly important role in China's future power system. It will replace all or part of conventional energy. Among them, solar energy has gained attention due to its clean, pollution-free, sustainable utilization and other advantages. It is known as an ideal energy source that can fundamentally solve energy crisis and environmental problems. Solar radiation varies with changes in the sun's ...

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Problems solved by technology

[0003] Traditional methods, such as traversal methods, are relatively slow in finding the optimal solution under relatively complex mathematical models

In the case of a wide range of research, a huge amount of data, and changing conditions, the practicability of traditional methods is relatively weak

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