张一凡, 颜世烨, 李斌, 柳丹, 叶季蕾, 刘丽丽. 基于HOMER的多场景离网型微电网优化设计[J]. 太阳能学报, 2024, 45(8): 123-134. DOI: 10.19912/j.0254-0096.tynxb.2023-0539
引用本文: 张一凡, 颜世烨, 李斌, 柳丹, 叶季蕾, 刘丽丽. 基于HOMER的多场景离网型微电网优化设计[J]. 太阳能学报, 2024, 45(8): 123-134. DOI: 10.19912/j.0254-0096.tynxb.2023-0539
Zhang Yifan, Yan Shiye, Li Bin, Liu Dan, Ye Jilei, Liu Lili. OPTIMIIATION DESIGN OF MULTI-SCENE OFF-GRID MICROGRID BASED ON HOMER[J]. Acta Energiae Solaris Sinica, 2024, 45(8): 123-134. DOI: 10.19912/j.0254-0096.tynxb.2023-0539
Citation: Zhang Yifan, Yan Shiye, Li Bin, Liu Dan, Ye Jilei, Liu Lili. OPTIMIIATION DESIGN OF MULTI-SCENE OFF-GRID MICROGRID BASED ON HOMER[J]. Acta Energiae Solaris Sinica, 2024, 45(8): 123-134. DOI: 10.19912/j.0254-0096.tynxb.2023-0539

基于HOMER的多场景离网型微电网优化设计

OPTIMIIATION DESIGN OF MULTI-SCENE OFF-GRID MICROGRID BASED ON HOMER

  • 摘要: 基于HOMER软件对武汉某商业园区开展离网型光-柴-储微电网系统优化设计研究。首先,构建多运行策略下离网型光-柴-储微电网系统容量优化配置模型;在此基础上,分析不同运行策略下系统容量配置、光伏渗透比例和电池储能运行状态,并得出离网型光-柴-储微电网系统最优运行策略;然后,基于最优运行策略开展多场景下离网型光-柴-储微电网容量优化配置,对多场景离网型光-柴-储微电网的平准化度电成本本(LCOE)、系统净现值(NPC)和总排放等性能进行比较分析;最后,结合具体案例开展敏感性因素分析。结果表明,所提容量配置模型可实现系统经济性与清洁性的最佳权衡,并降低系统对于储能电池的依赖;通过敏感性分析得出不同机组参数、负荷参数对系统最优配置的影响。

     

    Abstract: This paper conducts an optimization design for off-grid PV-diesel-storage microgrid system in a commercial park in Wuhan based on HOMER software, China. Firstly, a capacity optimization planning model for the off-grid PV-diesel-storage microgrid system under multiple operation strategies is constructed. Based on this, the capacity planning of system, PV penetration ratio, and battery energy storage operational status under different operation strategies are analyzed, and the optimal operation strategy for the off-grid PVdiesel-storage microgrid system is derived. Then, the capacity optimization planning of the off-grid PV-diesel-storage microgrid under multiple scenarios is conducted based on the optimal operation strategy, and a comparative analysis of LCOE, NPC, and total emissions for the off-grid PV-diesel-storage microgrid under multiple scenarios is performed. Finally, the aout sensitivity analysis with specific cases re also carried. The results indicate that the proposed capacity planning model can achieve the best balance between economic and environmental performance of the system, and reduce the reliance on energy storage batteries. Additionally, the sensitivity analysis reveals the impact of different unit and load parameters on the optimal capacity planning.

     

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