Open Access
E3S Web Conf.
Volume 385, 2023
2023 8th International Symposium on Energy Science and Chemical Engineering (ISESCE 2023)
Article Number 02017
Number of page(s) 5
Section Green Chemical Technology and Energy Saving and Emission Reduction
Published online 04 May 2023
  1. What is green power trading? Interview with relevant leaders of the National Development and Reform Commission[R/OL]. [Google Scholar]
  2. Cui, Y., Zhou, H., Zhong, W., et al. Considering day-ahead to day two-stage rolling optimal scheduling for combined peak shaving of generalized energy storage and thermal power [J]. Power grid technology, 2021, 45(01):10–20. DOI: 10.13335/j.100 0-3673.pst.2020.0206. [Google Scholar]
  3. He, C. Optimal Capacity Allocation and Economic Analysis of Large Optical Storage Power Plants [D]. Beijing North China Electric Power University,2017. [Google Scholar]
  4. Han, X., Wang, L., Gao, T., et al. Power planning for grid-connected optical storage microgrid systems based on cost and benefit analysis[J]. Journal of Electrical Technology,2016,31(14):31–39,66. [Google Scholar]
  5. Liu, G., Yuan, Y., Wang, M., et al. Energy storage capacity allocation of photovoltaic power stations considering economic costs [J]. Renewable energy,2014,32(1):1–5. [Google Scholar]
  6. Zhang, X., Zhang, F., Gong, N., et al. Capacity planning of energy storage power stations based on dynamic adjustment of state of charge[J]. Power automation equipment,2015,35(11):20–25. [Google Scholar]
  7. Dragicevic, T., Pandzic, H., Skrlec D., et al. Capacity Optimization of Renewable Energy Sources and Battery Storage in an Autonomous Telecommunication Facility[J]. IEEE Transactions on Sustainable Energy, 2014,5(4):1367–1378. [CrossRef] [Google Scholar]
  8. Shen, Z., Pei, W., Deng, W., et al. Optimal configuration of wind farm energy storage capacity considering the impact of battery life and operational control strategies [J]. High Voltage Technology, 2015, 41 (7): 2236–2244. [Google Scholar]
  9. Li Bin, Chen Shu, Liang Shuiying. An optimization method for energy storage capacity to suppress fluctuations in the output of photovoltaic systems [J]. Power System Protection and Control, 2014, 42 (22): 45–50. [Google Scholar]
  10. Sang, B., Wang, D., Yang, B., et al. An optimal allocation method for energy storage to smooth fluctuations in the output of new energy [J]. Chinese Journal of Electrical Engineering, 2014, 34 (22): 3700–3706. [Google Scholar]
  11. Ding, Z., Du, C., Zhang, C. Energy storage allocation method for suppressing power fluctuations in photovoltaic power generation [J]. Journal of Power Supply, 2014, 11 (6): 24–30. [Google Scholar]
  12. Robert B., Jennifer C., Jose A., et al. Determining the power and energy capacities of a battery energy storage system to accommodate high photovoltaic penetration on a distribution feeder[J]. IEEE Power and Energy Technology Systems Journal, 2016, 3(3): 119–127. [CrossRef] [Google Scholar]
  13. Ma, S., Ma, H., Jiang, X., et al. Capacity allocation of hybrid energy storage systems based on Bloch sphere quantum genetic algorithm [J]. Chinese Journal of Electrical Engineering, 2015, 35 (3): 592–599. [Google Scholar]
  14. Sun, Y., Tang, X., Sun, X., et al. Research on the allocation method of energy storage capacity for wind power fluctuation mitigation [J]. Chinese Journal of Electrical Engineering, 2017, 39 (Supplement): 88–97. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.