A multi-energy microgrid system output and demand model considering relationship between meteorology factor and thermal demand

Abstract

In a multi-energy microgrid system, meteorology 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-energy 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.