Open Access
Issue
E3S Web Conf.
Volume 271, 2021
2021 2nd International Academic Conference on Energy Conservation, Environmental Protection and Energy Science (ICEPE 2021)
Article Number 01014
Number of page(s) 5
Section Energy Development and Utilization and Energy Storage Technology Application
DOI https://doi.org/10.1051/e3sconf/202127101014
Published online 15 June 2021
  1. Azizivahed A., Arefi A., Ghavidel S., et al. Energy management strategy in dynamic distribution network reconfiguration considering renewable energy resources and storage[J]. IEEE Transactions on Sustainable Energy, 2019, 11 (2): 662–673. [CrossRef] [Google Scholar]
  2. Dai Jie, Ma Zhao, Shang Yuwei, et al. (Dai Jie, Ma Zhao, Shang Yuwei, et al.). Overview of renewable distribution generation in UK and DNO progress (Overview of renewable distribution generation in UK and DNO progress). Advanced Technology of Electrical Engineering and Energy, 2017, 36 (09): 43–50. [Google Scholar]
  3. Lu Chang, Guo Li, Chai Yuanyuan et al. (Lu Chang, Guo Li, Chai Yuanyuan et al.). Day-ahead optimal scheduling method for incremental distribution network with high penetration of distributed photovoltaic (Day-ahead optimal scheduling method for incremental distribution network with high penetration of distributed photovoltaic)[J]. Power System Protection and Control (Power System Protection and Control), 2019, 47(18):90–98. [Google Scholar]
  4. Ding Ming, Fang Hui, Birui, et al. (Ding Ming, Fang Hui, Birui, et al.). Optimal siting and sizing of distributed PV-storage in distribution network Based on cluster partition [J]. Proceedings of the CSEE, 2019, 39 (08): 2187–2201+2. [Google Scholar]
  5. Huang Chunyi, Wang Chengmin, Xie Ning, et al. (Huang Chunyi, Wang Chengmin, Xie Ning, et al.). Distribution expansion planning based on strong coupling of operation and spot market[J]. Proceedings of the CSEE, 2019, 39 (16): 4716–4731+4974. [Google Scholar]
  6. Yang J., Gao H., Ye S., et al. Applying multiple types of demand response to optimal day-ahead stochastic scheduling in the distribution network[J]. IET Generation, Transmission & Distribution, 2020. [Google Scholar]
  7. Zhang Muyin, Zhou Ling, Guan Zhicheng, et al. (Zhang Muyin, Zhou Ling, Guan Zhicheng, et al.). Multi-objective coordination planning of distribution network with distributed generation considering the impact of demand response (Multi-objective) coordinated planning of distribution network with distributed generation considering influence of demand response)[J]. Advanced Technology of Electrical Engineering and Energy, 2017, 36 (03): 16–21. [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.