Open Access
Issue
E3S Web Conf.
Volume 245, 2021
2021 5th International Conference on Advances in Energy, Environment and Chemical Science (AEECS 2021)
Article Number 01044
Number of page(s) 4
Section Energy Development and Utilization and Energy-Saving Technology Application
DOI https://doi.org/10.1051/e3sconf/202124501044
Published online 24 March 2021
  1. Wei Wei, Liu Feng, Mei Shengwei. Energy pricing and dispatch for smart grid retailers under demand response and market price uncertainty[J]. IEEE Transactions on Smart Grid, 2015, 6(3):1364-1374. [Google Scholar]
  2. Paudel A, Chaudhari K, Long Chao, et al. Peer-to-peer energy trading in a prosumer-based community microgrid: a game-theoretic model[J]. IEEE Transactions on Industrial electronics, 2019, 66(6087-6097). [Google Scholar]
  3. Maharjan S, Zhu Quanyan, Zhang Yan, et al. Dependable demand response management in the smart grid: a Stackelberg game approach[J]. IEEE Transactions on Smart Grid, 2013, 4(1):120-132. [Google Scholar]
  4. Ma Li, Liu Nian, Zhang Jianhua, et al. Distributed energy management of community energy internet based on leader-followers game[J]. Power System Technology, 2016(12):41-48(in Chinese). [Google Scholar]
  5. Liu Nian, He Li, Yu Xinghong, et al. Multiparty energy management for grid-connected microgrids with heat-and electricity-coupled demand response[J]. IEEE Transactions on Industrial Informatics, 2018, 14(5):1887-1897. [Google Scholar]
  6. Zhou Changchen, Ma Xiyuan, Guo Xiaobin, et al. Leader-follower game based optimized operation method for interaction of integrated energy system in industrial park[J]. Automation of Electric Power Systems, 2019, 43(07):111-121(in Chinese). [Google Scholar]
  7. Zhao Wenhui, Qi Yu, Fan Hanlu. Stackelberg game scheduling for regional power grids [J]. Control Theory and Technology, 2018, 35(05):71-79(in Chinese). [Google Scholar]
  8. Ju Liwei, Tan Zhongfu, Li Huanhuan, et al. Multi-objective operation optimization and evaluation model for CCHP and renewable energy based hybrid energy system driven by distributed energy resources in China[J]. Energy, 2016, 111:322-340. [Google Scholar]

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