Comparative Analyses on Operation Strategies of Energy Storage Systems for Mitigating Wind Power Fluctuations

被引:0
|
作者
Zhang X. [1 ,2 ]
Yuan Y. [1 ]
Zheng Y. [1 ]
Gu J. [2 ]
机构
[1] College of Energy and Electrical, Hohai University, Nanjing
[2] College of Electrical Engineering, Nantong University, Nantong
来源
基金
中国博士后科学基金;
关键词
Battery energy storage systems (BESS); Comparative analyses; Costs of fluctuation mitigation; Mitigation of wind power fluctuations; Operation strategies;
D O I
10.13336/j.1003-6520.hve.20181207007
中图分类号
学科分类号
摘要
From the angles of both mitigating wind power fluctuations and operation costs, we comparatively analyzed the operational strategies of battery energy storage systems (BESS) which are designed to mitigate wind power fluctuations. Three different operational strategies for the BESS are as follows: (a)operating in whole and alternating charging/discharging state stochastically, (b)operating independently and alternating charging/discharging states synchronously, (c)operating independently and alternating charging/discharging states asynchronously. The Sequential Monte Carlo simulation technology (SMCST) was adopted to simulate operations of the BESS in different strategies with considerations of random predicting errors on wind power. Based on simulation results, performances on mitigating wind power fluctuations were evaluated. In addition, costs of the BESS consumed for mitigating wind power fluctuations were estimated according to investment costs and circle lift depletion of the BESS. Comparative analyses indicate that the strategy of operating independently and alternating charging/discharging states asynchronously is the best as it can compromise the mitigating performances of wind power fluctuation and mitigating costs. © 2019, High Voltage Engineering Editorial Department of CEPRI. All right reserved.
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页码:2797 / 2805
页数:8
相关论文
共 22 条
  • [1] Xu J., Wei G., Jin Y., Et al., Economic analysis on integration topology of Rudong offshore wind farm in Jiangsu province, High Voltage Engineering, 43, 1, pp. 74-81, (2017)
  • [2] Outline of wind power operations of China in 2017
  • [3] Sun Y.Y., Zhong J.L., Li Z.Y., Et al., Stochastic scheduling of battery-based energy storage transportation system with the penetration of wind power, IEEE Transactions on Sustainable Energy, 8, 1, pp. 135-144, (2017)
  • [4] Lin W.X., Wen J.Y., Cheng S.J., Et al., An investigation on the active power variations of wind farms, IEEE Transactions on Industry Applications, 48, 3, pp. 1087-1094, (2012)
  • [5] Lin H., Sun L., Chang X., A probabilistic model to simulate wind power output fluctuation of a certain wind farm cluster in Xinjang region, Power Systems Technology, 38, 6, pp. 1615-1620, (2014)
  • [6] Yang D., Wen J., Chan K., Et al., Smoothing and dispatching the output of wind/battery energy storage hybrid system via model prediction control, High Voltage Engineering, 43, 3, pp. 1043-1048, (2017)
  • [7] Zhang X., Gu J., Yuan Y., Et al., Strategy of smoothing wind power fluctuation based on battery energy storage system, Proceedings of the CSEE, 34, 28, pp. 4752-4760, (2014)
  • [8] Lou S., Wu Y., Cui Y., Et al., Operational strategy of battery energy storage system for smoothing short-term wind power fluctuation, Automation of Electric Power Systems, 38, 2, pp. 17-22, (2014)
  • [9] Wang J., Chao Q., Wang Y., Et al., A control of hybrid energy storage system for suppressing fluctuation of wind power based on primary-secondary scale intersection cutting effect, Power Systems Technology, 39, 12, pp. 3369-3377, (2015)
  • [10] Wu J., Ding M., Wind power fluctuation smoothing strategy of hybrid energy storage system using self-adaptive wavelet packet decomposition, Automation of Electric Power Systems, 41, 3, pp. 7-12, (2017)