Open Access
| Issue |
E3S Web Conf.
Volume 352, 2022
7th International Conference on Energy Science and Applied Technology (ESAT 2022)
|
|
|---|---|---|
| Article Number | 03009 | |
| Number of page(s) | 7 | |
| Section | Energy Sustainability & Energy-Related Environmental Science | |
| DOI | https://doi.org/10.1051/e3sconf/202235203009 | |
| Published online | 27 June 2022 | |
- Research on optimal configuration of multi-energy complementary combined supply system based on entropy weight-TOPSIS Zhang Dong1,2 Zhang Bin1,2 Zhang Rui1,2 An Zhou Jian1 Journal of Huazhong University of Science and Technology (Natural Science Edition) [Google Scholar]
- Shuai Wanlan, Zhu Ziwei, Li Xuemeng, Luo Zhijiang, Zhu Hailong, Zhang Yining. Integrated energy system "source-grid-load-storage" collaborative optimization operation considering wind power consumption[J]. Power system protection and control, 2021, 49(19): 18–26. [Google Scholar]
- Yin Jijun, Xia Qing. Conceptual design and exploration of multi-integrated high-resilient power grid in the form of energy Internet[J]. Proceedings of the Chinese Society of Electrical Engineering, 2021, 41(02): 486–497. [Google Scholar]
- Hang Haiyan, Yang Liqiang, Gan Wen, Sun Yi, Yang Hongyue, Li Zekun. Multi-time scale optimal dispatch strategy considering demand response in highly elastic power grid[J]. Journal of North China Electric Power University (Natural Science Edition), 2021, 48(04): 40–48. [Google Scholar]
- Zhou Bingkai, Yang Xiaofeng, Li Jicheng, Nong Renbiao, Chen Qian. Overview of key technologies for multi-integrated and highly resilient power grids [J]. Zhejiang Electric Power, 2020, 39(12): 35–43. [Google Scholar]
- Yin Jijun. Building an energy Internet to empower a beautiful China-Promoting the high-quality development of energy through the construction of a multi-integrated and highly flexible power grid [J]. Contemporary Electric Power Culture, 2021(02): 3437. [Google Scholar]
- Feng Changsen, Zhang Yu, Wen Fushuan, Ye Chengjin, Zhang Youbing. Microgrid energy management strategy based on deep expectation Q network algorithm [J/OL]. Power system automation: 1–17 [2021-10-29]. [Google Scholar]
- Zhu Lan, Liu Shen, Tang Longjun, Wang Ji, Huang Chao. Uncertainty response modeling of charge and discharge and day-ahead scheduling strategy of electric vehicle agents[J]. Power System Technology, 2018, 42(10): 3305–3317. [Google Scholar]
- Liu Zhiwen, Dong Xuzhu, Huang Yu, Wu Zhengrong. Calculation method of the maximum penetration rate of distributed power considering multiple constraints[J]. Journal of Electric Power System and Automation, 2019, 31(06): 85–92. [Google Scholar]
- Bai Xueting, Yang Ruiqi, Chen Zechun, Yang Dechang. Optimal operation of the park's integrated energy system considering the comprehensive demand response[J]. Journal of Electric Power Science and Technology, 2021, 36(03): 27–35. [Google Scholar]
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