Promoting Emission Reduction of Coupled Power-Traffic Networks Based on Energy–Carbon Integrated Prices

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:Offers a novel theoretical framework for carbon pricing in coupled networks with convergence guarantees.

🏢実務担当者:Provides a practical pricing tool for city planners and grid operators to incentivize low-carbon charging and reduce peak loads.

🏛政策担当者:Demonstrates how uniform carbon pricing can balance emission reduction and economic performance in transport electrification.

The adoption of electric vehicles for global decarbonization integrates traffic and power networks. However, emissions from upstream power generation and ongoing gasoline vehicles continue to impact overall carbon levels, which cannot be ignored. This work addresses this issue by proposing a uniform carbon pricing scheme, where the emission responsibilities are incorporated to achieve low-carbon scheduling of coupled power-traffic networks. Specifically, gasoline vehicles have a direct carbon price imposition through an emission model; the carbon emission flow theory enables a carbon price based on the actual charging demand, thus, an innovative energy-carbon integrated price is introduced to regulate electric vehicles. The scheduling results are obtained by an iterative method, with their existence and uniqueness proven through the fixed-point theory, and a Genetic Algorithm-based method is introduced to accelerate the computation process. Finally, two case studies demonstrate the effectiveness of the proposed pricing scheme in identifying emission responsibilities and imposing charging fees on emissions. The outcomes demonstrate a superior balance between reducing emissions and enhancing economic performance compared to current methods. Note to Practitioners—The rapid transition to electric vehicles (EVs) creates a complex interdependency between power and traffic networks. However, current management strategies often overlook the upstream carbon emissions from power plants and the persistent impact of gasoline vehicles (GVs). This paper provides a practical framework for city planners and operators to implement a unified carbon pricing scheme, which helps in reducing emissions and improving economic performance. For GVs, the carbon cost is imposed directly based on tailpipe emissions. For EVs, we introduce an innovative energy-carbon integrated price. By applying carbon emission flow theory, this scheme tracks the actual carbon intensity of electricity at specific charging locations, ensuring that EV users are charged based on the real environmental impact of their energy source. The practical value of this approach lies in its ability to achieve a superior balance between environmental goals and economic performance. It helps grid operators alleviate peak loads by shifting charging demand to cleaner time windows, and helps traffic authorities manage congestion via emission-based incentives. Furthermore, the GA-based optimization method developed in this study ensures that the pricing strategy can be computed efficiently for large-scale urban networks. This framework serves as a strategic decision-support tool for designing fair and effective low-carbon urban power-traffic policies.

• semanticscholar https://doi.org/10.1109/tase.2026.3699470first seen 2026-06-12 05:38:25