Journal of System Simulation
Abstract
Abstract: Virtual power plant technology provides an effective means to aggregate distributed power and user side resources to participate in power scheduling. Most of the existing research focus on the scheduling optimization of distributed energy instead of the demand response of user side. The user side resources are divided into contracted reliable response load and non-contracted random response load, and the load response is regulated through price adjustment mechanism to adapt to the change of distributed. A virtual power plant optimal scheduling model with dual demands response is constructed, in which the maximizing overall profit of the power grid is set to be the optimization objective, and an improved differential evolution algorithm with constraint penalty is used to optimize the model. Simulation results shows that, compared with the scheduling model without demand response, the proposed model can increase the revenue by 10%.
Recommended Citation
Chen, Qiang; Wang, Yi; and Li, Kangshun
(2023)
"Research on Modeling and Scheduling of Virtual Power Plant with Dual Demand Response,"
Journal of System Simulation: Vol. 35:
Iss.
4, Article 12.
DOI: 10.16182/j.issn1004731x.joss.21-1234
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol35/iss4/12
First Page
822
Revised Date
2022-01-22
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.21-1234
Last Page
832
CLC
TP391.9
Recommended Citation
Qiang Chen, Yi Wang, Kangshun Li. Research on Modeling and Scheduling of Virtual Power Plant with Dual Demand Response[J]. Journal of System Simulation, 2023, 35(4): 822-832.
DOI
10.16182/j.issn1004731x.joss.21-1234
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