A Multi-Energy Microgrid System Output and Demand Model Considering Relationship Between Meteorology Factor and Thermal Demand

被引:0
作者
Zhang, Xingyou [1 ]
Cheng, Yan [1 ]
Zhang, Yong [1 ]
Sun, Shumin [1 ]
Wang, Shouxiang [2 ]
机构
[1] State Grid Corp China, Shandong Elect Power Res Inst, Jinan, Shandong, Peoples R China
[2] Tianjin Univ, Sch Elect Engn & Automat, Tianjin, Peoples R China
来源
2017 CHINESE AUTOMATION CONGRESS (CAC) | 2017年
关键词
microgrid; combined cooling; heating and electricity; supply and demand model; sequential Monte Carlo method; performance assessment;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In a multi-energy microgrid system, meteorolopT factors can not only affect output of renewable resources, but also affect cooling and heating demand. Considering relationship of meteorology factors (solar insolation, wind speed, outdoor temperature) and cooling, heating, electricity demand of users in a multi-energy microgrid system, this paper proposes a model which can describe relationship between meteorology factor and thermal demand. Then, a data sampling method based on the proposed model is proposed to generate a synthetic set of data which can describe operation characteristics of microgrid more accuracy. Also, the proposed model and data sampling method is incorporated into a multi-energy, microgrid assessment algorithm. Finally, the feasibility of the proposed model and multi-enerpT microgrid assessment algorithm is studied. Results show that the proposed model and assessment algorithm is a good way to describe the performance of a multi-energy microgrid system.
引用
收藏
页码:808 / 813
页数:6
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