Research On Low Carbon Planning Approach For Wind-PV-Biogas-Storage Integrated Energy Microgrid In Remote Area

With the successive proposals of the "Rural Revitalization" and "Carbon Peaking and Carbon Neutrality" strategies.the energy development and environmental governance of remote areas have received widespread attention.How to plan the energy architecture of remote areas reasonably to ensure energy supply and low-carbon development has become one of the hot research topics for many scholars.Compared with the problems of high investment costs and difficult operation and maintenance in traditional planning methods,integrated energy microgrids can rely on abundant renewable resources such as wind energy,solar energy,and biomass energy in remote areas,comprehensively coordinate energy output devices,energy conversion devices,and energy storage devices.It enables flexible conversion and unified configuration of different energy demands.Meanwhile,this is currently the main means to solve energy problems in remote areas.Therefore,this paper focuses on the following aspects of low-carbon planning for integrated energy microgrids in remote areas:First,this paper analyzes the operation mode and carbon emission reduction potential of integrated energy microgrids in remote areas.It analyzes in-depth the energy and agriculture coupling mechanism and the wind-PV-biogas-storage multi-energy complementary mechanism under the operation mode of integrated energy microgrids,and conducts potential analysis of carbon emission reduction of agricultural biomass energy mainly from crop straw combustion and livestock and poultry manure.Second,based on the basic framework of integrated energy microgrids,this paper constructs mathematical models for each device,including energy output devices,energy conversion devices,and energy storage devices.Considering the load characteristics of different users and the impact of wind and solar uncertainties,a demand response mathematical model based on real-time electricity price and an uncertainty probability density function are established.Then,this paper considers the economic cost and carbon emission reduction of remote area integrated energy microgrid operation planning as the objective function and comprehensively considers the objective function and constraints to construct a two-stage stochastic optimization model.At the same time,an improved Non-dominated sorting genetic algorithm and scheme set optimization based on the technique for order preference by similarity to ideal solution are proposed to achieve precise solutions to the model.Finally,this paper conducts simulation analysis on integrated energy microgrids in remote areas.The optimization results show that there is a natural contradiction between economic cost and carbon emission reduction.Three configuration schemes are obtained through scheme set optimization based on the technique for order preference by similarity to ideal solution.And then analyze the capacity configuration and running status of devices in the three scenarios.The results show that the overall optimal scheme performs well in economic cost and carbon emission reduction.It also proves the important contribution of demand response and multi-energy complementarity to the system.And then,the performance of different algorithms is compared to demonstrate the effectiveness of the proposed method.Simulation results show that the low-carbon planning method of remote wind-PV-biogas-storage integrated energy microgrids proposed in this paper can effectively improve the economic cost and carbon emission reduction of energy development in remote areas.In particular,it has solved related problems such as energy development and environmental governance.Therefore,it is thought that have greater value in engineering practicality.