Open Access
| Issue |
E3S Web Conf.
Volume 352, 2022
7th International Conference on Energy Science and Applied Technology (ESAT 2022)
|
|
|---|---|---|
| Article Number | 03013 | |
| Number of page(s) | 4 | |
| Section | Energy Sustainability & Energy-Related Environmental Science | |
| DOI | https://doi.org/10.1051/e3sconf/202235203013 | |
| Published online | 27 June 2022 | |
- Zhou Jing, Wang Ke, Wang Weizhou, et al. Analysis of the benefits and application of the trading model for captive power plants to participate in new energy consumption [J]. Automation of Electric Power Systems, 2016, 40(14): 145–150(in Chinese). [Google Scholar]
- Liu Chuang, Li Fengting, Chao Qin, et al. A new model of multilateral power generation rights trading considering clean energy consumption[J]. Electric Power Automation Equipment, 2021, 41(01): 92–98(in Chinese). [Google Scholar]
- Xu Haoliang, Jin Panrun, Jiang Jiheng, et al. An optimization method of power generation rights trading to promote wind power consumption[J]. Electric Power, 2020, 53(03): 167–176(in Chinese). [Google Scholar]
- Wang Yansong, Song Yangyang, Zong Xueying. Two-level optimal scheduling of PV-containing systems with green certificate trading and generation rights trading[J]. Journal of China University of Petroleum (Edition of Natual Science), 2019, 43(01): 145–153(in Chinese). [Google Scholar]
- He Yongxiu, Song Dong, Xia Tian, et al. Research on the trading model of conventional energy and new energy power generation rights replacement based on cooperative game theory[J]. Power System Technology, 2017, 41(08): 2485–2490(in Chinese). [Google Scholar]
- Shoham Y, Leyton-Brown K. Multiagent systems: algorithmic, game-theoretic, and logical foundations [M]. Cambridge University Press, 2008. [Google Scholar]
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