Aiming at the problem of low efficiency of distributed energy utilization and unreasonable energy allocation at each port of the power router in agricultural and pastoral areas

energy management module in its information layer is studied

and an agricultural and pastoral system including wind power

photovoltaic and energy storage equipment is established.Firstly

cost of photovoltaic and wind power generation in power router

the control cost of energy storage devices

and the power exchange fee between the power router and the external mains in the grid-connected mode in the model are comprehensively considered.Secondly

these cost issues are converted to user’s electricity consumption.In this way

electricity cost can transform a multi-objective problem into a single-objective problem with cost optimization as the goal

which simplifies the energy management problem.Finally

the sparrow search algorithm（SSA） is used to optimize the economic scheduling of the equipment in the power routers in farming and pastoral areas.The analysis result of the calculation example shows that compared with the particle swarm optimization（PSO） algorithm

the SSA has the characteristics of improving the system optimization precision and convergence speed

which can effectively improve the energy utilization rate and reduce the cost.It has more superior performance of the power router optimization while applied to agricultural and pastoral areas.