Optimal Scheduling of Virtual Power Plants Considering Photothermal Power Stations and Hydrogen Energy Utilization

Authors

• Yousong Chen, School of Information Engineering, Nanchang Hangkong University, Nanchang 330038, China
• Ruofa Cheng, School of Information Engineering, Nanchang Hangkong University, Nanchang 330038, China
• Yi Liu, School of Information Engineering, Nanchang Hangkong University, Nanchang 330038, China
• Yi Zhang, School of Information Engineering, Nanchang Hangkong University, Nanchang 330038, China
• Zhihao Zuo, School of Information Engineering, Nanchang Hangkong University, Nanchang 330038, China

Abstract

Abstract: To enhance the operational stability and low-carbon performance of virtual power plants (VPPs) with high shares of renewable energy, a coordinated dispatch model integrating concentrated solar power (CSP) plants with power-to-gas (P2G) and carbon capture is developed. An optimal VPP scheduling strategy is proposed, combining a stepped carbon trading mechanism with a compensation coefficient and dynamic hydrogen blending. To address multi-source uncertainties in wind power, CSP power, and loads, an envelope boundary model is used for simulation. Information gap decision theory (IGDT) is applied to provide customized solutions for decision-makers with different risk preferences. A bi-objective optimization model is established to minimize total operating cost and carbon emissions. A coordinated strategy integrating min-max normalization and linear weighted summation is introduced to address differences in scale and conflicts between the objectives. A solver is employed to conduct multiscenario comparative analyses. Simulation results show that the proposed strategy effectively reduces total system cost and carbon emissions while improving adaptability to uncertainties, providing a new approach to low-carbon economic dispatch of VPPs.

Recommended Citation

Chen, Yousong; Cheng, Ruofa; Liu, Yi; Zhang, Yi; and Zuo, Zhihao (2026) "Optimal Scheduling of Virtual Power Plants Considering Photothermal Power Stations and Hydrogen Energy Utilization," Journal of System Simulation: Vol. 38: Iss. 8, Article 5.
DOI: 10.16182/j.issn1004731x.joss.25-1211
Available at: https://dc-china-simulation.researchcommons.org/journal/vol38/iss8/5

First Page

2179

Last Page

2196

CLC

TP391.9

Recommended Citation

Chen Yousong, Cheng Ruofa, Liu Yi, et al. Optimal Scheduling of Virtual Power Plants Considering Photothermal Power Stations and Hydrogen Energy Utilization[J]. Journal of System Simulation, 2026, 38(8): 2179-2196.

Corresponding Author

Cheng Ruofa

DOI

10.16182/j.issn1004731x.joss.25-1211