Work

Optimisation Scheduling of Integrated Electricity‐Heat‐Oxygen Energy Systems Considering Demand Response and Carbon Trading Based on IGDT

Year: 2025

Type: article

Abstract: ABSTRACT With economic development, the residents of Tibet's high‐altitude regions have an increasing demand for quality of life. This study addresses the oxygen supply needs, renewable energy instability and load uncertainty in high‐altitude areas, while aligning with the goal of reducing carbon emissions. A combined electricity, heat and oxygen integrated energy system (IES) suitable for high‐altitude areas is proposed. Firstly, a combined oxygen supply mode integrating power‐to‐gas and vacuum pressure swing adsorption is established. Secondly, due to renewable energy instability and load fluctuations, an information gap decision theory model is developed, considering both risk‐averse and risk‐seeking perspectives. Demand response is also incorporated to ensure a reliable energy system. Finally, a tiered carbon trading mechanism is introduced, and an optimised scheduling model for the integrated energy system is established. Using the Gurobi optimiser for typical load cases in high‐altitude areas, results show that under the risk‐averse strategy, IES costs increase based on the deviation factor, while under the risk‐seeking strategy, IES costs decrease accordingly.

Source: IET Generation Transmission & Distribution

DOI: 10.1049/gtd2.70126

Authors: Zhe Yin, Ruijin Zhu, Shiting Cui, Tengshuo Li, Yifan Zhang, Zhifan Zhang

Institutions: Xizang Agricultural and Animal Husbandry University, Wuhan University

Language: English

Topic: Integrated Energy Systems Optimization

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Climate action, Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $2,940