Photovoltaic sensor optimal arrangement method based on differential evolution algorithm

Abstract

The invention requests to protect a photovoltaic sensor optimal arrangement method based on a differential evolution algorithm. The method comprises the following steps: determining a model of the average illumination level and the illumination uniformity (Uo) of an illumination lamp; performing optimization design by taking energy consumption of illumination as a target function and taking illumination level and uniformity as constraint conditions; solving the layout problem of the optical sensor by adopting a differential evolution optimization (DE) algorithm; and determining the optimal number of the sensors and the optimal positions of the sensors based on the average dimming level and the optimal illumination value region solved by the differential evolution algorithm. Visual comfort and controller performance are improved (i.e., complexity is reduced) with minimized cost (i.e., sensors and power). The method has excellent performance in the aspects of small calculation amount and optimal solution (namely the number and the position of the light sensor). In addition, the method has high practicability for realizing wired and wireless optical sensors in small and large buildings, new buildings and reconstruction projects.

Description

technical field [0001] The invention belongs to the technical field of building energy, and in particular relates to a photovoltaic sensor optimization arrangement method based on a differential evolution algorithm. Background technique [0002] The energy used in buildings around the world accounts for a large part of the total energy, about 40% of the total energy, and about 30% of carbon dioxide emissions, leading to greenhouse gas effects such as climate change and global warming. Lighting is one of the main subsystems of building energy systems, accounting for about 20%-45% of total energy consumption. [0003] Lighting systems achieve higher potential for energy savings in buildings by implementing several strategies such as adoption of energy-efficient lamp technology, appropriate illuminance level design, and dimming control. For dimming control, the control strategy based on light perception is the main strategy to increase the energy saving of building lighting. ...

AI Technical Summary

Problems solved by technology

This technology only starts from the perspective of solving the optimization function. Although it optimizes the distribution of sensors, it increases the number of objective functions and increases the difficulty and time of solving the problem.

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