JIN Tai, LI Na, QIN Jianhua, et al. Optimization allocation of integrated energy system based on mixed integer nonlinear programming[J]. Thermal power generation, 2021, 50(8): 131-140.
DOI:
JIN Tai, LI Na, QIN Jianhua, et al. Optimization allocation of integrated energy system based on mixed integer nonlinear programming[J]. Thermal power generation, 2021, 50(8): 131-140. DOI: 10.19666/j.rlfd.202104064.
Optimization allocation of integrated energy system based on mixed integer nonlinear programming
The capacity allocation of integrated energy system(IES) is one of the important factors affecting system operation stability and economic benefit
and is the key research content in the system planning stage. To explore the best working mode of power-to-gas equipment in the system and the influences of such factors as energy storage equipment
photovoltaic equipment and fan on the system economy
this paper introduces the above equipment into the IES. Then
a mixed integer nonlinear programming model considering the capacity allocation constraints
fivebus equilibrium constraints and energy storage constraints is constructed with economic benefit as the optimization objective. Moreover
a citizen service center in north China is taken as an example to verify the effectiveness of the model
and the six operation schemes are compared. The results show that
the reasonable allocation of power-togas equipment can effectively improve the system economy
which provides a theoretical basis and technical support for the subsequent research on the operation stage of the IES.