计及生物质能源化的微能源网多尺度调度优化模型OA北大核心CSTPCD

Driven by the"dual-carbon"policy environment,China is committed to building an efficient and low-carbon energy supply system.However,the intermittency and volatility of renewable energy sources,such as wind and solar,pose challenges to the stable operation of the microenergy grid,with large amounts of biomass waste resources,such as straw,garbage,and biological sewage,not being fully developed and utilized.Therefore,this study proposes a micro-energy grid architecture based on a rural biomass waste energy conversion system,mathematically modeling its components.Subsequently,a two-stage scheduling optimization framework is designed,whereby in the day-ahead phase,a multi-objective scheduling optimization model is established with the objectives of minimizing operating costs and maximizing ecological and environmental benefits,and in the intraday phase,robust optimization is introduced to describe the uncertainty of wind and solar sources,thereby developing an intraday scrolling scheduling optimization model with the objective of minimizing deviation adjustment costs.Finally,an example analysis was conducted on a micro-energy network in northern China.The results are as follows 1)The multi-timescale scheduling model can take advantage of the regulating capability of each unit,connect the day-ahead scheduling plan with the intraday scheduling strategy,and formulate an optimal scheduling strategy.2)Day-ahead multi-objective scheduling optimization considers the impossible triangle and successfully achieves a significant increase of 14.82%in ecological benefits at the expense of a moderate economic cost increase of 5.02%.Overall,the proposed optimization model can promote the energy use of rural biomass waste resources and is useful for achieving a clean and low-carbon transition of the energy structure.