Optimal configuration of a wind-photovoltaic-hydrogen-gas-electric vehicles integrated energy system considering multiple uncertainties and carbon reduction

Document Type : Research Article

Authors

School of Management, University of Shanghai for Science and Technology, Shanghai 200093, China

Abstract

Coupling renewable energy, electric vehicle and hydrogen storage is an effective way for Integrated Energy Systems (IES) to move toward a low-carbon approach. The uncertainties of wind power, Photovoltaic Panel (PV) power and load demand are considered, meanwhile, a ladder-type carbon trading mechanism is designed, and the model is transformed into a deterministic Mixed-Integer Linear Programming (MILP), while the reliability of spinning reserve power is measured by a proper confidence level. Meanwhile, the objective function is constructed based on the optimization strategy of deviation preference, and two objectives are introduced to optimize the annual comprehensive cost and annual carbon emission. The problem is transformed into a MILP and the optimization of the capacity configuration of this IES is performed. The results show that the IES has advantages in economic and environmental performance. The IES has significant advantages in Carbon Dioxide Emission Reduction (CDER); meanwhile, Electric Vehicle (EVs) show advantages in CDER and charging cost compared to those in the non-IES. Carbon dioxide emissions in IES are only one-fifth of those of conventional distribution system and the CDER effect is noticeable. Moreover, EV charging cost in the IES is relatively lower, while the CDER effect is an order of magnitude better than that of non-IES.

Keywords

Main Subjects

References

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Scientia Iranica
Volume 32, Issue 1
Transactions on Computer Science & Engineering and Electrical Engineering
January and February 2025 Article ID:6698

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  • Receive Date: 14 April 2022
  • Revise Date: 01 September 2022
  • Accept Date: 15 April 2023

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