Day-Ahead Optimal Dispatch of Wind Power Distribution Network with P2H and EVs in Consideration of Source-Load Coordination

Xiao TAN , Dong HUA

›› 2023, Vol. 17 ›› Issue (4) : 144 -155.

PDF
›› 2023, Vol. 17 ›› Issue (4) : 144 -155. DOI: 10.13648/j.cnki.issn1674-0629.2023.04.014
research-article

Day-Ahead Optimal Dispatch of Wind Power Distribution Network with P2H and EVs in Consideration of Source-Load Coordination

Author information +
History +
PDF

Abstract

Due to the inherent intermittence of the high proportion of renewable energy, the problem of consumption has become increasingly prominent. Electric to hydrogen and electric vehicles are important technologies for achieving energy conservation and emission reduction, and participate in grid optimization and dispatch as flexible resources, which are beneficial for the consumption of renewable energy. In this paper, a day-ahead optimal dispatch model of wind power distribution network with P2H and EVs in consideration of source-load coordination is proposed. Firstly, a model based on the energy storage and adjustable characteristics of electric to hydrogen and electric vehicles is established to realize the improvement of load characteristics. Secondly, combining the demand for wind power consumption and peak shaving and valley filling in the system, a dynamic time-sharing cost model based on power value and power change rate is proposed, and a flexible resource control strategy of source-load coordination is formed. Finally, a day-ahead dispatch model of distribution network with wind power is established, which aims at economic optimization. The simulation experiment in the modified IEEE 33-bus distribution network system shows that the proposed dispatch method can effectively reduce the total system scheduling cost and load peak-valley difference, and address wind power consumption.

Keywords

source-load coordination / P2H / EV / optimal dispatch / dynamic time-sharing cost model / demand side flexible resources / wind power consumption

Cite this article

Download citation ▾
Xiao TAN,Dong HUA. Day-Ahead Optimal Dispatch of Wind Power Distribution Network with P2H and EVs in Consideration of Source-Load Coordination. 2023, 17(4): 144-155 DOI:10.13648/j.cnki.issn1674-0629.2023.04.014

登录浏览全文

4963

注册一个新账户 忘记密码

References

Funding

the Key Project of National Natural Science Foundation of China(51937005)

the Key-Area Research and Development Program of Guangdong Province(2019B111109002)

PDF

8

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/