Analysis of Economic Influence Factors in Wind-Photovoltaic-Storage Microgrid

被引:0
|
作者
Xie H. [1 ,2 ]
Teng X. [1 ,2 ]
Zhang Y. [1 ,2 ]
Zheng T. [3 ]
Chen L. [3 ]
机构
[1] School of Electrical Engineering, Beijing Jiaotong University, Beijing
[2] National Active Distribution Network Technology Research Center, Beijing Jiaotong University, Beijing
[3] Department of Electrical Engineering, Tsinghua University, Beijing
关键词
Economics; Energy storage; Influence coefficient; Microgrid;
D O I
10.7500/AEPS20180201004
中图分类号
学科分类号
摘要
The wind-photovoltaic-storage microgrid is an effective solution which achieves complementary advantages and efficient usage of distributed sources. However, many factors affect the economics with various influence degrees. The criticality of economic factors is quantified and analyzed in the wind-photovoltaic-storage microgrid. Based on the analysis of operation mode, the economic model of microgrid planning is built. The model is aimed at optimal annual net profit considering the operation characteristics of micro-sources, the power balance between the microgrid and the utility grid as well as the reliability constraints. Also, the evaluation indices of economic operation are established. On this basis, economic factors in both planning and operation aspects are quantified by calculating the influence coefficients. A practical microgrid in Yunnan Province is used as case study. The analysis results show that the rational allocation of energy storage can improve the economics of microgrid planning, and the key economic factors of wind-photovoltaic-storage microgrid include the equivalent life cycles of energy storage, the unit investment cost of wind generators and the discount rate on the planning level, and the energy supplied, unit electricity price as well as unit environmental benefit of wind power and photovoltaic generation on the operation level. © 2019 Automation of Electric Power Systems Press.
引用
收藏
页码:70 / 76and115
相关论文
共 23 条
  • [1] Ding M., Wang B., Zhao B., Et al., Configuration optimization of capacity of standalone PV-wind-diesel-battery hybrid microgrid, Power System Technology, 37, 3, pp. 575-581, (2013)
  • [2] Li J., Zheng X., Ai X., Et al., Optimal design of capacity of distributed generation in island standalone microgrid, Transactions of China Electrotechnical Society, 31, 10, pp. 176-184, (2016)
  • [3] Guo L., Liu W., Jiao B., Et al., Multi-objective optimal planning design method for stand-alone microgrid system, Proceedings of the CSEE, 34, 4, pp. 524-536, (2014)
  • [4] Chen J., Wang C., Zhao B., Et al., Economic operation optimization of a stand-alone microgrid system considering characteristics of energy storage system, Automation of Electric Power Systems, 36, 20, pp. 25-31, (2012)
  • [5] Chen J., Zhao B., Wang C., Et al., Optimal sizing analysis on grid-connected microgrid with different self-balancing capabilities, Automation of Electric Power Systems, 38, 21, pp. 1-6, (2014)
  • [6] Li K., Tai N., Zhang S., Et al., Multi-objective planning method of distributed generators considering correlations, Automation of Electric Power Systems, 41, 9, pp. 51-57, (2017)
  • [7] Bahramirad S., Reder W., Khodaei A., Reliability-constrained optimal sizing of energy storage system in a microgrid, IEEE Transactions on Smart Grid, 3, 4, pp. 2056-2062, (2012)
  • [8] Guo L., Yu Z., Wang C., Et al., Optimal design of battery energy storage system for a wind-diesel off-grid power system in a remote Canadian community, IET Generation Transmission & Amp
  • [9] Distribution, 10, 3, pp. 608-616, (2016)
  • [10] Zhang Y., Ren S., Yang X., Et al., Optimal configuration considering price-based demand response for stand-alone microgrid, Electric Power Automation Equipment, 37, 7, pp. 55-62, (2017)