Journal of System Simulation
Abstract
Abstract: With continuous enrichment of resources of the supply side and flexible and changeable load of the demand side of energy system to effectively cope with the complexity of system operation optimization and resource allocation, a robust optimization model of virtual power plant considering the interaction between electric and thermal units is proposed. Considering the uncertainty of renewable energy and load in virtual power plant, a two-stage robust optimization model of min-max-min structure is established, and the optimal operation economy dispatching scheme in the worst scenario is obtained. Robustness coefficient is introduced to flexibly adjust the conservativeness of the optimization scheduling scheme. Based on column-and-constraint generation(C&CG) algorithm and strong dual theory, the solvement is carried out. The gas turbine setup value, battery operation boundary conditions, and virtual power plant operating cost sensitivity are further analyzed.
Recommended Citation
Liu, Jinpeng; Jinchun, Peng; Deng, Jiaming; and Liu, Hushihan
(2023)
"Two-stage Robust Optimization-based Economic Dispatch of Virtual Power Plants Considering Cogeneration,"
Journal of System Simulation: Vol. 35:
Iss.
8, Article 16.
DOI: 10.16182/j.issn1004731x.joss.23-0508
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol35/iss8/16
First Page
1799
Last Page
1813
CLC
TM73；TP391
Recommended Citation
Liu Jinpeng, Peng Jinchun, Deng Jiaming, et al. Two-stage Robust Optimization-based Economic Dispatch of Virtual Power Plants Considering Cogeneration[J]. Journal of System Simulation, 2023, 35(8): 1799-1813.
DOI
10.16182/j.issn1004731x.joss.23-0508
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