Thermal demand response model considering user's satisfaction with heat consumption under electrothermal coupling

Wang Zhenyu; Zhang Jianhua; Hu Chunlan; Xu Lanlan; Han Yongjun

doi:10.1051/e3sconf/202123601034

All issues

Volume 236 (2021)

E3S Web Conf., 236 (2021) 01034

References

Open Access

Issue		E3S Web Conf. Volume 236, 2021 3^rd International Conference on Energy Resources and Sustainable Development (ICERSD 2020)


Article Number		01034
Number of page(s)		4
Section		Development, Utilization and Protection of Traditional Energy Resources
DOI		https://doi.org/10.1051/e3sconf/202123601034
Published online		09 February 2021

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Fang Shaofeng, Zhou Renjun, Xu Fulu, Feng Jian, Cheng Yuanlin, Li Bin. Optimal operation of integrated energy system of microgrid in the park considering the comprehensive demand response of various electric heating loads [J]. Journal of power system and automation, 2019 (online edition) [Google Scholar]
Wang Yangzhi, Zhou Renjun, Li Juan, Wang Yu, Chen Yi, Ren Qingqing. Two stage optimal dispatch of wind power thermal power plants with heat load regulation [J]. Journal of power system and automation, 2019,31 (05): 13-20 [Google Scholar]
Gu zepeng, Kang Chongqing, Chen Xinyu, Bai Jianhua, Cheng Lu. Operation optimization of electrothermal energy integration system considering heat supply network constraints and wind power consumption benefit analysis [J]. Chinese Journal of electrical engineering, 2015,35 (14): 3596-3604 [Google Scholar]
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[1] Shariatkhah M-H, Haghifam M-R, Mohesn PM, et al. Modelling the reliability of multicarrier energy systems considering dynamic behavior of thermal loads[J]. Energy Build, 2015(103) :375-383． [Google Scholar]

[2] Hassine I B, Eicker U.Impact of load structure variation and solar thermal energy integration on an existing district heating network [J]. Applied Thermal Engineering, 2013, 50(2) :1437-1446. [Google Scholar]

[3] Federal Ministry for Economic Affairs and Energy.An electricity market for Germany’s energy transition[R]. Berlin: FederalMinistry for Economic Affairs and Energy, 2015. [Google Scholar]

[4] Green J, Newman P. Citizen utilities: the emerging power paradigm. Energy Policy 2017;105:283-93. [Google Scholar]

[5] Ran Liping. Review of cogeneration at home and abroad [J]. Science and technology information, 2009 (18): 327-327 [Google Scholar]

[6] Luo Baifeng, Mu Yunfei, He Wei, Yu Xiaodan, Wei Wei, Jia Hongjie, sun min. evaluation method of power supply capacity of electric gas coupling integrated energy system considering static security constraints [J]. Global energy Internet, 2019,2 (05): 433-440 [Google Scholar]

[7] Li Jinghua, Zuo Junjun, Wang Sai. Risk assessment and analysis of large scale wind power grid connected power system [J]. Power grid technology, 2016,40 (11): 3503-3513 [Google Scholar]

[8] Fang Shaofeng, Zhou Renjun, Xu Fulu, Feng Jian, Cheng Yuanlin, Li Bin. Optimal operation of integrated energy system of microgrid in the park considering the comprehensive demand response of various electric heating loads [J]. Journal of power system and automation, 2019 (online edition) [Google Scholar]

[9] Wang Yangzhi, Zhou Renjun, Li Juan, Wang Yu, Chen Yi, Ren Qingqing. Two stage optimal dispatch of wind power thermal power plants with heat load regulation [J]. Journal of power system and automation, 2019,31 (05): 13-20 [Google Scholar]

[10] Gu zepeng, Kang Chongqing, Chen Xinyu, Bai Jianhua, Cheng Lu. Operation optimization of electrothermal energy integration system considering heat supply network constraints and wind power consumption benefit analysis [J]. Chinese Journal of electrical engineering, 2015,35 (14): 3596-3604 [Google Scholar]

[11] Chen cangyang, Hu Bo, Xie Kaigui, et al. Peak valley time of use price model considering power system reliability and power purchase risk [J]. Power grid technology, 2014,38 (08): 2141-2148 [Google Scholar]