ZHANG ZHANG, WANG TAO, ZHANG LIJIE, et al. Optimal Control of Gas-electricity Integrated Energy Network Considering Demand Response. [J]. Power capacitor & reactive power compensation, 2022, 43(5): 156-164.
DOI:
ZHANG ZHANG, WANG TAO, ZHANG LIJIE, et al. Optimal Control of Gas-electricity Integrated Energy Network Considering Demand Response. [J]. Power capacitor & reactive power compensation, 2022, 43(5): 156-164. DOI: 10.14044/j.1674-1757.pcrpc.2022.05.022.
Optimal Control of Gas-electricity Integrated Energy Network Considering Demand Response
Client-side integrated energy technology refers to the integration of traditional power generation
new energy generation
conversion and energy storage technology. For achievinghigh efficient use of energy of the user-side and save the cost of energy consumption for the user
a kind of new client-side gas electricity integrated energy network architecture model is proposed firstly in this paper. The gas-fired generating units and user’s roof photovoltaic power generation units are introduced in an innovative way in this model.At the same time
the electric household vehicles are used for the first time as energy storage devices in the gas electricity integrated energy network architecture model for optimal scheduling study. Secondly
for optimizing the utilization efficiency of the gas electricity integrated energy network architecture model and save the energy consumption cost for the client
the load of the clientside is brought for the first time into the gas electricity integrated energy network for unified optimization control. The demand response optimization strategy including load transfer
load reduction and flexible load modeling is introduced
and the optimization scheduling effect of household electric vehicles and thermal energy storage devices is studied. The minimum optimization objective function of total energy consumption cost and the minimum optimization objective function of greenhouse gas emission due to energy consumption of users are set up to perform multi-objective optimization. The experimental simulation results show that the new client-side gas electricity integrated energy network architecture model has good feasibility. At the same time
the load demand response optimization strategy is adopted to give full play to the energy storage advantages of electric vehicles and thermal energy storage devices
and the multi-objective optimization is performed
which has a certain effect on reducing the energy cost of the client.
关键词
用户端综合能源网络屋顶光伏发电充电电动汽车需求响应多目标
Keywords
client sideintegrated energy networkroof photovoltaic power generationcharging electric vehicledemand responsemultiple objectives