电测与仪表2026，Vol.63Issue(8)：44-53,10.DOI:10.19753/j.issn1001-1390.2026.08.005
基于双碳目标的综合能源微网与储能优化调度方法研究
Research on integrated energy microgrid and energy storage optimal scheduling method based on dual carbon goals
摘要
Abstract
In the integrated energy microgrid,shared energy power stations not only improve energy utilization effi-ciency,but also enhance the flexibility and reliability of the system.In response to the existing optimization sched-uling methods for integrated energy microgrids and shared energy storage that cannot balance economy,low-carbon,flexibility,and robustness,on the basis of analyzing the integrated energy microgrid system,a dual layer model based integrated energy microgrid shared energy storage optimization scheduling method is proposed.The upper lev-el model is constructed with the goal of comprehensively optimizing the costs of electricity,gas,equipment mainte-nance,flexible resource scheduling,and carbon trading in energy microgrids.The lower level model is constructed with the goal of achieving the comprehensive optimization of energy storage investment cost,energy storage charging and discharging loss cost,internal energy interaction cost,and external energy interaction cost.The two-layer mod-el is solved through the improved non-dominated sorting genetic algorithm III.The superiority of the proposed dual layer model for integrated energy microgrid shared energy optimization scheduling is verified through numerical ex-amples.The results indicate that,the proposed method ensures safety,flexibility,and robustness,comprehensive energy microgrid operating costs,and carbon emissions while ensuring safety and robustness,providing certain as-sistance for achieving the dual carbon goals.关键词
综合能源微网/共享储能/优化调度方法/经济性/低碳性/灵活性/鲁棒性Key words
integrated energy microgrid/shared energy storage/optimal scheduling method/economic property/low carbon nature/flexibility/robustness分类
信息技术与安全科学引用本文复制引用
肖俊阳..基于双碳目标的综合能源微网与储能优化调度方法研究[J].电测与仪表,2026,63(8):44-53,10.基金项目
中国南方电网深圳供电局有限公司科技项目(09000020220303040901411) （09000020220303040901411）
