Abstract: Abstract: Precise poverty alleviation has entered a decisive period to storm fortifications and overcome difficulties. As one of the precise poverty alleviation projects, photovoltaic (PV) poverty alleviation plays an important role in solving the problem of poverty alleviation. Agricultural informatization construction will enhance the effectiveness of PV poverty alleviation to a greater extent. Taking W County of national poverty-stricken counties as an example, this paper systematically sorts out four typical PV poverty alleviation models in recent years, which are household distributed PV poverty alleviation model, village-level PV poverty alleviation power station model, joint-village PV poverty alleviation power station model and centralized PV poverty alleviation power station model. The detailed comparative analysis of various models' application scope and characteristics are carried out. Then this paper analyses the comprehensive benefits of PV poverty alleviation in W county. In view of economic benefits, this paper first designs the calculation of total annual power generation of PV poverty alleviation projects, then designs the annual sub-components of total poverty alleviation income, obtains the annual total poverty alleviation calculation method under different models and different objects. In view of ecological benefits, this paper analyzes its ecological benefits from two aspects: Annual energy-saving (ES) & emission-reduction (ER) quantity, environmental value (EV). In view of social benefits, this paper analyses its social benefits from the four perspectives of employment, skills, development and society. Because the evaluation of PV poverty alleviation benefit index is hierarchical and ambiguous, this paper combines analytic hierarchy process and fuzzy comprehensive evaluation method to establish PV poverty alleviation index evaluation model and income distribution method. First step, establish a multi-level comprehensive evaluation index system. Second step, construct a judgment matrix for PV poverty alleviation index. Third step, determine the weights of each index and test consistency. Fourth step, design the criteria for dividing each index and calculate the comprehensive score. Fifth step, calculate the allocation of PV poverty alleviation incomes of poor households. In order to verify the proposed model and method, this paper selects the poor household L, M and N from two different village-level PV poverty alleviation power stations as three examples, calculates their PV poverty alleviation indexes scores, and calculates their income distribution amount. Through comprehensive evaluation of the power indexes, economic indexes, poverty indexes and environmental protection indexes of poor households, the poor household N has higher comprehensive scores and relatively more distributed incomes, but the poor household L increases the overall income through employment income. This distribution of income varies from household to household, eliminating the disadvantages of the average distribution, both stimulating the poverty-reducing power of people with lower incomes and ensuring the labor benefits of people with higher incomes. Based on these three examples studies, the validity and feasibility of the evaluation model and income distribution method proposed in this paper can be verified. At present, PV poverty alleviation still has great potential in improving its benefits and ensuring its sustainable development, this paper finally designs the overall structure of the PV poverty alleviation benefit promotion mechanism from five perspectives: government, power grid companies, investment companies, village collective, poor households, and five levels: technology, development, power, security, management, aiming to provide technical and decision support for PV poverty alleviation projects in poverty-stricken areas in China.