计及生物质能源化的微能源网多尺度调度优化模型

Multiscale Scheduling Optimization Model of Microenergy Grid Considering Biomass for Energy-oriented Utilization

在“双碳”目标推动下,我国正致力于构建高效低碳的能源体系。然而,风、光等可再生能源的间歇性和波动性给微能源网稳定运行带来挑战,同时大量秸秆、垃圾、生物污水等生物质废物资源未被充分开发和利用。因此,提出基于农村生物质废弃物能量转换系统的微能源网架构,设计两阶段调度优化框架:在日前阶段,以运行成本最低和生态环境效益最大为目标建立多目标调度优化模型;在日内阶段,引入鲁棒优化描述风光不确定性,构造以偏差调整成本最小为目标的日内滚动调度优化模型。最后,以中国北方某微能源网开展实例分析,结果表明:1)多时间尺度调度模型可发挥各单元的调节能力,衔接日前调度计划与日内调度策略,制定最优调度策略;2)日前多目标调度优化考虑不可能三角,以适度的经济成本增加5.02%为代价,成功实现生态效益提升14.82%。总的来说,所提优化模型能促进农村生物质废物资源能源化利用,有利于实现能源结构的清洁低碳转型。

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 multiobjective 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.