Dynamic Carbon Accounting and Multi-objective Low-carbon Synergy Optimization of Integrated Energy Systems

WANG Runyang; PENG Daogang; FAN Yubo; SHUI Jijun; ZHONG Huaping

doi:10.19805/j.cnki.jcspe.2025.250398

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Dynamic Carbon Accounting and Multi-objective Low-carbon Synergy Optimization of Integrated Energy Systems

更新时间：2026-10-10

- Dynamic Carbon Accounting and Multi-objective Low-carbon Synergy Optimization of Integrated Energy Systems
- Chinese Journal of Power Engineering Vol. 45, Issue 12, Pages: 2219-2228(2025)
- 作者机构：
  
  1. 上海电力大学自动化工程学院,上海,200090
  2. 国网上海市电力公司电力科学研究院,上海,200437
  3. 香港理工大学电机及电子工程学系,香港,999077
- 作者简介：
- 基金信息：
- DOI：10.19805/j.cnki.jcspe.2025.250398
  CLC：
- Online First：16 December 2025，
  
  Published：16 December 2025
- 稿件说明：
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王润杨,彭道刚,范钰波,税纪钧,钟华平. 综合能源系统动态碳核算与多目标低碳协同优化动力工程学报, 2025, 45(12): 2219-2228 https://doi.

org/10.19805/j.cnki.jcspe.2025.250398
王润杨,彭道刚,范钰波,税纪钧,钟华平. 综合能源系统动态碳核算与多目标低碳协同优化动力工程学报, 2025, 45(12): 2219-2228 https://doi. DOI： 10.19805/j.cnki.jcspe.2025.250398.

org/10.19805/j.cnki.jcspe.2025.250398 DOI：

摘要

在“双碳”战略背景下

园区级综合能源系统的动态碳核算与优化调度研究至关重要。当前动态碳核算面临数据时效性差、边界模糊和监测精度不足等挑战

且与多设备协同优化调度的耦合存在复杂性

难以精准平衡低碳性与经济性目标。提出一种园区级综合能源系统低碳经济的多目标协同优化框架

构建了动态碳足迹核算模型

解决了传统静态核算问题

精准划分直接碳排放和间接碳排放

支撑精细化碳管理。以此为基础

建立多设备动态调度模型

融合热电联产热电比柔性调节、电转气与储能跨区域协同和可再生能源优先级消纳等策略

充分挖掘源-荷-储环节的低碳潜力。基于某工业园区的多场景仿真结果显示

所提方法通过“可调热电比+电转气/储能+阶梯式碳交易”三重协同优化

相较于基准场景

碳排放量显著降低

总运行成本减少。

Abstract

Under the background of the ‘dual-carbon' strategy

the study of dynamic carbon accounting and optimal scheduling of park-level integrated energy systems is crucial. Currently

dynamic carbon accounting faces challenges such as poor data timeliness

fuzzy boundaries

and insufficient monitoring accuracy

and there exists complexity for the coupling with multi-equipment cooperative optimization scheduling

which made it difficult to accurately balance the low-carbon and economic objectives. A multi-objective co-optimization framework for low-carbon economy of park-level integrated energy system was proposed

and a dynamic carbon footprint accounting model was constructed

which solved the traditional static accounting problem

accurately divided the direct carbon emission and indirect carbon emission

and supported the fine carbon management. Based on this

a multi-equipment dynamic scheduling model was established

which integrated cogeneration

combined heat and power (CHP) with flexible adjustment of heat-to-power ratio

cross-domain synergy between power to gas (P2G) and energy storage

and prioritized consumption of renewable energy sources to fully tap the low-carbon potentials of the source-load-storage link. A multi-scenario simulation based on an industrial park showed that the proposed method can significantly reduce carbon emissions and total operating costs compared with the baseline scenario through the triple synergistic optimization of ‘adjustable heat-to-power ratio

P2G/energy storage and stepped carbon trading'.

关键词

Keywords

references

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