Keywords
energy hub, multiple time scale, cyber physical model, particle swarm optimization
Abstract
For the multiple time scale problem of energy routers, the impact of cyber physics interaction is considered and the energy router modeling based on cyber physics system is established. Then, an optimization scheduling method of energy router with multienergies is proposed based on the multiple time scale in this paper. Firstly, the cyber physics modeling of the energy router is established according to the relationship between cyber and physical factors. This model could reflect the relationships between individual constraint variables accurately, and provide the optimization decision basis. Secondly, a vertical structure data analysis method with the multiple time scale for the energy router is proposed by singular system theory. The method could effectively eliminate the influence of the time scale difference of data. In addition, a multiobjective optimization method for distributed energy routers based on multiagent particle swarm optimization (PSO) algorithm is proposed for interconnected energy routers. Eventually, the simulation results can verify the effectiveness of the proposed method.
DOI
10.19781/j.issn.16739140.2021.01.004
First Page
32
Last Page
41
Recommended Citation
LIU, Menglin; MA, Dazhong; and SUN, Qiuye
(2021)
"Multiobjective optimization of multienergy router based on a cyber physical model,"
Journal of Electric Power Science and Technology: Vol. 36:
Iss.
1, Article 4.
DOI: 10.19781/j.issn.16739140.2021.01.004
Available at:
https://jepst.researchcommons.org/journal/vol36/iss1/4