Economic Analysis of Agricultural Microgrid Based on Greenhouse Crop Growth Model

Greenhouse agriculture is an important part of modern agriculture. At present, the energy use management of greenhouse agricultural systems does not take into account the plant growth model, and the system energy efficiency is low. This research aims to establish a load forecasting model and propose a scheme to configure the greenhouse optical storage and power supply system based on the forecasting model. The study first determined the optimal growth conditions of greenhouse vegetable through simulation experiments. Subsequently, the configuration of photovoltaic energy storage systems (PV-ES) is optimized, aiming to achieve more efficient and economical energy use. This methodology provides practical solutions for energy management in agricultural production processes. The results show that crop yields and quality can be significantly improved, while energy consumption and costs can be reduced by precisely controlling environmental conditions in greenhouses and optimizing energy use.