Source-Load Coordination for Carbon Reduction in IES with Stepwise Carbon Pricing

To achieve the dual carbon goals, this paper proposes a bi-level economic dispatch method for integrated energy systems based on source-load coordination. A low-carbon scheduling framework is established using a stepwise carbon trading mechanism and flexible emission quotas to guide carbon behavior through economic incentives. The upper-level model minimizes costs for energy procurement, carbon trading, and demand response compensation, while the lower-level optimizes EV charging/discharging schedules. Simulation results show that the proposed strategy effectively reduces carbon emissions, improves renewable energy utilization, and enhances system economy. The scenario with stepwise carbon pricing and flexible quotas performs best, highlighting the significant potential of source-load coordination for energy conservation and emission reduction.

Authors

Institutions

Publication Details

Published
2025-08-08
DOI
https://doi.org/10.1109/iaeac65194.2025.11166665
Primary Topic
Climate Change Policy and Economics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Source-Load Coordination for Carbon Reduction in IES with Stepwise Carbon Pricing

Mei Jun Yang, Xichao Zhou
Climate Change Policy and Economics
article

Source-Load Coordination for Carbon Reduction in IES with Stepwise Carbon Pricing

Mei Jun Yang, Xichao Zhou
article en

Abstract

To achieve the dual carbon goals, this paper proposes a bi-level economic dispatch method for integrated energy systems based on source-load coordination. A low-carbon scheduling framework is established using a stepwise carbon trading mechanism and flexible emission quotas to guide carbon behavior through economic incentives. The upper-level model minimizes costs for energy procurement, carbon trading, and demand response compensation, while the lower-level optimizes EV charging/discharging schedules. Simulation results show that the proposed strategy effectively reduces carbon emissions, improves renewable energy utilization, and enhances system economy. The scenario with stepwise carbon pricing and flexible quotas performs best, highlighting the significant potential of source-load coordination for energy conservation and emission reduction.

State Grid Corporation of China (China) (CN), Energy Research Institute (CN)
Openalex Percentile: Top 66%
Climate Change Policy and Economics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Source-Load Coordination for Carbon Reduction in IES with Stepwise Carbon Pricing — Mei Jun Yang, Xichao Zhou · (2025) | TGRS Research Map | TGRS