| Abstract: Aiming at the problems of unstable energy supply and high system cost caused by the mismatch of the configuration of the solar-powered irrigation machine power supply system, this paper establishes an optimization configuration model of the solar-storage-oil-powered irrigation machine power supply system considering carbon efficiency. At the same time, using the measured meteorological data and historical photovoltaic power generation data, combined with the SARIMA machine learning algorithm, a model for estimating the photovoltaic power generation capacity is established, which can estimate the photovoltaic power generation capacity of the solar-powered irrigation machine and other solar energy equipment. In this study, the reel sprinkler JP75-300 is taken as an example,based on the demand of the irrigation system, taking the minimum annual cost as the objective function, and taking the carbon emission and power supply reliability index as the constraint conditions, the photovoltaic panel area, the number of storage batteries, and the rated power of the gasoline generator are taken as the decision variables to establish the optimization model of the solar-storage-oil power supply configuration. The optimal configuration combination is obtained by using the complete search method, and further performance tests and carbon efficiency analysis are carried out. The results show that the best combination of 5 storage batteries, 7 m2 photovoltaic panels, and a 1 kW gasoline generator can obtain the minimum annual cost of 1,312.69 yuan, and the carbon emission within the 8-day test period is 8.27 kg, which is significantly reduced compared to the traditional irrigation machine. This study optimizes the configuration of the solar-storage-oil multi-energy coordinated irrigation machine on the basis of ensuring the performance of the power supply system, verifying its environmental protection, power supply reliability and economic feasibility, and has guiding significance for the application of new energy systems and irrigation technology, the achievement of the national "dual carbon" goal, and the promotion of the application of photovoltaic irrigation machines in the northwestern rainfed areas. |