In recent years,with the improvement of rural residents ’ living standards and the rapid development of urbanization,the demand for rural energy has increased,and environmental pollution and energy supply and demand problems have followed.At present,the main method to solve the problem of energy supply in rural areas is relatively primitive,mainly through direct combustion of biomass energy,which is backward and single,low utilization rate,low flexibility,and brings serious environmental pollution.This shows that the traditional way of energy supply in rural areas is no longer suitable for the current situation.Rural areas should seek the continuous development of clean,green and sustainable energy and the optimal scheduling of energy structure.Therefore,this chapter analyzes the whole energy structure by establishing a model of rural integrated energy system with mutual response and mutual adjustment,and studies and optimizes the economy and carbon emissions of the system.It is of great practical significance to study the low-carbon economic optimal scheduling of rural integrated energy system to improve agricultural energy consumption,reduce agricultural production costs,promote local consumption of renewable energy,and improve rural energy consumption.First,the basic composition of the rural energy Internet is introduced,the working principle of the power supply side and the conversion side is analyzed,and the corresponding mathematical model is established.Then,considering the load side demand of the rural energy internet,taking the rural areas in northern China in winter as an example,the power and heat load values of each part of the load are calculated.Firstly,the basic structure of rural integrated energy system is introduced.The supply and demand mode of integrated energy system,renewable energy and facility agriculture can improve the consumption capacity of renewable energy and realize the common energy supply and utilization of multiple energy sources,which is conducive to improving the low energy utilization rate and improving the flexibility of the system.The working principle of the energy supply side and the conversion side is analyzed,and the corresponding mathematical model is established.Considering the load side demand of the rural integrated energy system,taking a rural area in northern China in winter as an example,the electric and heat load values of each part of the load are calculated.Secondly,the life cycle assessment(LCA)method is used to evaluate the carbon emissions of the rural integrated energy system.According to the principle of the carbon emission coefficient method,the industries in the rural integrated energy system are divided into four stages : raw material production stage,equipment installation stage,equipment operation stage and equipment demolition and recycling stage.On the premise of accounting the basic data of carbon emissions in each stage,the carbon emissions and energy consumption of each industry based on LCA are calculated,and then the independent carbon emission factors of each industry are calculated,and then the carbon emissions of equipment can be calculated according to the amount of power generation(heat).The results show that the whole life cycle method has practical significance for accounting the carbon emissions of rural integrated energy system.Finally,under the premise of considering the constraints of each equipment in the rural integrated energy system and the premise of multi-industry collaboration,this thesis constructs the optimal scheduling model of the rural integrated energy system,and determines that the multi-objective function is the lowest energy cost and the least carbon emission of the system,and is divided into three scenarios for simulation experiments.The results show that the niche particle swarm optimization algorithm is compared with the ordinary particle swarm optimization algorithm when solving the model. |