Optimal Allocation of Energy Storage Systems Considering Flexibility Deficiency Risk in Active Distribution Network

被引：0
|
作者：
Wen F. [1 ]
Li H. [1 ]
Wen X. [2 ]
Liu W. [1 ]
Xu H. [1 ]
机构：
[1] Key Laboratory of Intelligent Electric Power Grid of Sichuan Province (Sichuan University), Chengdu, 610065, Sichuan
[2] Meishan Power Supply Branch of State Grid Sichuan Power Supply Company, Meishan, 620010, Sichuan
来源：
Dianwang Jishu/Power System Technology | 2019年 / 43卷 / 11期
关键词：
Active distribution network; Bi-level scenario programming; Conditional value-at-risk; Energy storage system planning; Flexibility;
D O I：
10.13335/j.1000-3673.pst.2018.2528
中图分类号：
学科分类号：
摘要：
To cope with the stochastic power fluctuation of active distribution system under high-penetration photovoltaics (PV), based on flexibility planning theory, an energy storage system (ESS) allocation method taking flexibility deficiency risk into account is proposed. Firstly, the confidence interval calculation method is improved based on conditional value-at-risk (CVaR), and a flexibility deficiency risk cost model is constructed from the perspectives of flexibility supply-demand balance to evaluate the potential loss caused by the stochastic fluctuation of flexibility demand exceeding flexibility threshold. Then, considering flexibility improvement methods such as grid reconstruction, voltage control and ESS output adjustment, a bi-level optimal ESS allocation model considering flexibility, safety and economy is established. The upper-level of the model focuses on obtaining minimum capacity and appropriate distribution of ESS; the lower-level focuses on solving the coordinated operation strategy of flexibility resources. Finally, IEEE 33 system was selected for case study, verifying rationality and validity of the proposed method. © 2019, Power System Technology Press. All right reserved.
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页码：3952 / 3960
页数：8
相关论文
共 28 条
  • [1] Li H., Lu Z., Qiao Y., Et al., Bi-level optimal planning of generation-load-storage integrated generalized flexibility resource, Automation of Electric Power Systems, 41, 21, pp. 46-54, (2017)
  • [2] Liu W., Li H., Zhang H., Et al., Expansion planning of transmission grid based on coordination of flexible power supply and demand, Automation of Electric Power Systems, 42, 5, pp. 56-63, (2018)
  • [3] Zhu J., Liu Y., Xu L., Et al., Adjustable robust optimization for energy storage system in distribution network based on wind power full accommodation, Power System Technology, 42, 6, pp. 1875-1883, (2018)
  • [4] Chen H., Liu L., Jiang T., Et al., Optimal economic configuration of distributed energy storage systems for improving voltage quality in distribution network, Power System Technology, 42, 7, pp. 2127-2135, (2018)
  • [5] Cheng T., Chen M., Luo H., Et al., Multi-objective allocation of energy storage in distribution network penetrated with renewable energy generation, Power System Technology, 41, 9, pp. 2808-2815, (2017)
  • [6] Lu Z., Li H., Qiao Y., Et al., Flexibility evaluation and supply/demand balance principle of power system with high-penetration renewable electricity, Proceedings of the CSEE, 37, 1, pp. 9-19, (2017)
  • [7] Su C., Shen J., Wang P., Et al., Coordinated dispatching method for wind-turbine-integrated power system with multi-type power sources based on power flexibility margin, Automation of Electric Power Systems, 42, 17, pp. 111-122, (2018)
  • [8] Li H., Lu Z., Qiao Y., Et al., Assessment on operational flexibility of power grid with grid-connected large-scale wind farms, Power System Technology, 39, 6, pp. 1672-1678, (2015)
  • [9] Ma J., Silva V., Belhomme R., Et al., Evaluating and planning flexibility in sustainable power systems, IEEE Transactions on Sustainable Energy, 4, 1, pp. 200-209, (2012)
  • [10] Thatte A., Xie L., A metric and market construct of inter-temporal flexibility in time-coupled economic dispatch, Power and Energy Society General Meeting (PESGM), (2016)
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