Low-Carbon Optimization of Integrated Energy Systems with Time-of-Use Carbon Metering on the User Side

Author:

Yang Yulong1,Zhang Jialin1,Chen Tao1,Yan Han1

Affiliation:

1. School of Electrical Engineering, Northeast Electric Power University, Jilin 132000, China

Abstract

In the wake of the dual-carbon objective, the call for low-carbon attributes in integrated energy systems is ascending, with an amplified imperative to integrate wind and solar power efficiently. This study introduces an advanced low-carbon optimization framework for integrated energy systems, incorporating a sophisticated time-differentiated carbon accounting mechanism attentive to consumer emissions. A nuanced carbon accounting model is crafted to assess consumer emissions with greater accuracy. Predicated on these emissions, a refined low-carbon demand response model is articulated, factoring in the influence of carbon emission factors pertinent to electricity and heat procurement on user conduct. This model integrates the consideration of heat reclaimed from methanation processes, which in turn informs the carbon emission factors associated with purchased heat, and evaluates the subsequent optimization impact on the system. The proposed model is designed to curtail the system’s operational expenditures and is operationalized via the CPLEX solver. Through the establishment of various scenarios for evaluative comparison, the model is corroborated to substantially augment the system’s proficiency in assimilating wind and solar energy, markedly curtail carbon emissions, and facilitate a sustainable and cost-efficient operation of the integrated energy system.

Funder

The Science and Technology Planning Project of Xinjiang Uygur Autonomous Region

Publisher

MDPI AG

Reference31 articles.

1. Overview of Operation Research of Natural Gas–Electricity Coupled Systems Considering Power-to-Gas Technology;Dou;Power Syst. Technol.,2019

2. Evolution of Research Directions and Application Needs for Carbon Emission Factors in Power Grids;Liu;Power Syst. Technol.,2024

3. Modeling Electricity Bill with the Reflection of CO2 Emissions and Methods of Implementing AMI for Smart Grid in Bangladesh;Zaman;Int. J. Intell. Syst. Appl.,2022

4. Multi-time scale optimization dispatch of integrated energy systems under a ladder-type carbon trading mechanism;Zou;Power Syst. Technol.,2023

5. Two-stage robust optimization method for electric-cold-heat integrated energy systems considering the uncertainty of indirect carbon emissions from electricity;Zhou;Power Syst. Technol.,2024

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