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

被引:0
作者
Zhang, Yifan [1 ]
Yan, Shiye [1 ]
Li, Bin [1 ]
Liu, Dan [2 ]
Ye, Jilei [1 ]
Liu, Lili [1 ]
机构
[1] School of Energy Science and Engineering, Nanjing Tech University, Nanjing
[2] Electric Power Research Institute, State Grid HuBei Electric Power Co.,Ltd., Wuhan
来源
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2024年 / 45卷 / 08期
关键词
capacity configuration; energy storage; HOMER simulation; microgrids; multiple scenarios; renewable energy;
D O I
10.19912/j.0254-0096.tynxb.2023-0539
中图分类号
学科分类号
摘要
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 PV-diesel-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. © 2024 Science Press. All rights reserved.
引用
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页码:123 / 134
页数:11
相关论文
共 23 条
  • [1] NAN B, DONG S F,, TANG K J,, Et al., Optimal configuration of energy storage in PV-storage microgrid considering demand response and uncertainties in source and load[J], Power system technology, 47, 4, pp. 1340-1352, (2023)
  • [2] WANG Z, MA S, LI G Q, Et al., Day-ahead and intra-day two-stage rolling optimal dispatch of power grid considering access of composite energy storage power stations[J], Acta energiae solaris sinica, 43, 10, pp. 400-408, (2022)
  • [3] LIU H W, WANG S T, LIU G C,, Et al., Operation strategy of optimal capacity configuration for microgrid with WT-PV-DE-BES[J], Acta energiae solaris sinica, 43, 9, pp. 453-460, (2022)
  • [4] HOU H, WANG Q, XUE M Y,, Et al., Two-stage economic day-ahead dispatch of an islanded microgrid considering uncertainty and demand response[J], Power system protection and control, 50, 13, pp. 73-85, (2022)
  • [5] CHEN X,, FU W L,, ZHANG H R,, Et al., Optimal dispatching strategy of shared energy storage with multi-microgrid considering the uncertainty of new energy generation[J], Power system technology, 48, 1, pp. 219-236, (2024)
  • [6] ZHAO C, WANG B,, SUN Z X,, Et al., Optimal configuration optimization of islanded microgrid using improved grey wolf optimizer algorithm[J], Acta energiae solaris sinica, 43, 1, pp. 256-262, (2022)
  • [7] TAN Y, LI S C., Hybrid micro-grid energy optimization and sensitivity analysis of influencing factors [J], Journal of Guangxi University (natural science edition), 40, 5, pp. 1210-1219, (2015)
  • [8] ZHANG Z H., Research on cost analysis and countermeasures of micro-grid project[D], (2017)
  • [9] Techno-economical optimization of an integrated stand-alone hybrid solar PV tracking and diesel generator power system in Khorfakkan,United Arab Emirates[J], Energy, 190, (2020)
  • [10] A novel framework for optimal photovoltaic size and location in remote areas using a hybrid method:a case study of eastern Iran[J], Energy conversion and management, 153, pp. 129-143, (2017)