基于双碳目标的综合能源微网与储能优化调度方法研究

肖俊阳

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.
XiaoJunYang.Research on integrated energy microgrid and energy storage optimal scheduling method based on double carbon goals[J].Electrical Measurement & Instrumentation,2026,63(8):44-53.

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 double carbon goals

DOI：10.19753 / j.issn1001-1390.2026.08.005

中文关键词: 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

英文关键词:integrated energy microgrid, shared energy storage, optimize scheduling methods, economic property, low carbon nature, flexibility, safety

基金项目:中国南方电网深圳供电局有限公司科技项目 (09000020220303040901411)

作者中文名	作者英文名	单位
肖俊阳	XiaoJunYang	深圳供电局有限公司

摘要点击次数: 8

中文摘要:

在综合能源微网中,共享能源电站不仅提高了能源利用效率,还增强了系统的灵活性和可靠性。针对现有综合能源微网-共享储能优化调度方法不能兼顾经济性、低碳性、灵活性和鲁棒性等问题,在分析综合能源微网系统的基础上,提出了一种基于双层模型的综合能源微网-共享储能优化调度方法。上层模式以综合能源微网购电成本、燃气成本、设备维护成本、灵活性资源调度成本和碳交易成本综合最优为目标构建。下层模型以储能投资成本、储能充放电损耗成本、系统内电能交互成本和系统外电能交互成本综合最优为目标构建。通过改进的求解两层模型。通过算例验证了所提综合能源微网-共享能源优化调度双层模型的优越性。结果表明,所提方法在保证安全性、灵活性和鲁棒性的前提下,能有效降低储能配置容量、综合能源微网运行成本和碳排放量,可为双碳目标实现提供一定的助力。

英文摘要:

In the integrated energy microgrid, shared energy power stations not only improve energy utilization efficiency, but also enhance the flexibility and reliability of the system. In response to the existing optimization scheduling 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 level model is constructed with the goal of comprehensively optimizing the costs of electricity, gas, equipment maintenance, 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. Solve the two-layer model using the improved NSGA-III algorithm. The superiority of the proposed dual layer model for integrated energy microgrid shared energy optimization scheduling was verified through numerical examples. The results indicate that, proposed method ensures safety, flexibility, and robustness while, comprehensive energy microgrid operating costs, and carbon emissions while ensuring safety and robustness, providing certain assistance for achieving the dual carbon goals.

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