Optimal Scheduling Model of Multi-Time Scale Integrated Energy System Based on Generalized Energy Storage

Qiang LI , Xuan WANG , Cheng JU , Huifeng HAO

›› 2024, Vol. 18 ›› Issue (9) : 117 -125.

PDF
›› 2024, Vol. 18 ›› Issue (9) : 117 -125. DOI: 10.13648/j.cnki.issn1674-0629.2024.09.013
research-article

Optimal Scheduling Model of Multi-Time Scale Integrated Energy System Based on Generalized Energy Storage

Author information +
History +
PDF

Abstract

Aiming at the problems that the integrated energy system (IES) is difficult to optimize and scheduling due to the wide variety of equipment, and the utilization efficiency of comprehensive energy is low, an integrated energy system optimization scheduling Model based on generalized energy storage (GES) is proposed. Firstly, GES models of various loads are established, which simplify the information interaction between energy scheduling and consumption. Then, based on the GES model, day-ahead and intra-day optimal scheduling models are established to provide an effective way for IES energy flow analysis and optimization. Finally, IES simulation testing system is built which verifies the effectiveness of the proposed model. The simulation test results show that the optimization model can fully tap into the scheduling potential of the load, relieve the pressure of energy scheduling supply and demand balance, reduce the cost of power system, reduce the time for collaborative analysis and calculation, and improve the calculation efficiency and accuracy.

Keywords

integrated energy system(IES) / multi-time scale / optimal scheduling / generalized energy storage

Cite this article

Download citation ▾
Qiang LI,Xuan WANG,Cheng JU,Huifeng HAO. Optimal Scheduling Model of Multi-Time Scale Integrated Energy System Based on Generalized Energy Storage. 2024, 18(9): 117-125 DOI:10.13648/j.cnki.issn1674-0629.2024.09.013

登录浏览全文

4963

注册一个新账户 忘记密码

References

Funding

the National Key Research & Development Program of China(2020YFB2104500)

PDF

6

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/