Dynamic Modelling of Carbon Energy Flow in Grid-connected Combined Cooling, Heating and Electricity Generation Energy Station and Optimization of Low-carbon Interaction Between Station and Network

ZHAO Huirong; LUO Yushun; PENG Daogang

doi:10.19805/j.cnki.jcspe.2025.250414

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Dynamic Modelling of Carbon Energy Flow in Grid-connected Combined Cooling, Heating and Electricity Generation Energy Station and Optimization of Low-carbon Interaction Between Station and Network

更新时间：2026-10-10

- Dynamic Modelling of Carbon Energy Flow in Grid-connected Combined Cooling, Heating and Electricity Generation Energy Station and Optimization of Low-carbon Interaction Between Station and Network
- Chinese Journal of Power Engineering Vol. 45, Issue 12, Pages: 2151-2161(2025)
- 作者机构：
  
  上海电力大学自动化工程学院,上海,200090
- 作者简介：
- 基金信息：
- DOI：10.19805/j.cnki.jcspe.2025.250414
  CLC：
- Online First：16 December 2025，
  
  Published：16 December 2025
- 稿件说明：
移动端阅览
赵慧荣,罗宇顺,彭道刚. 并网型冷热电联供能源站碳能流动态建模及站网低碳互动优化研究动力工程学报, 2025, 45(12): 2151-2161 https://doi.

org/10.19805/j.cnki.jcspe.2025.250414
赵慧荣,罗宇顺,彭道刚. 并网型冷热电联供能源站碳能流动态建模及站网低碳互动优化研究动力工程学报, 2025, 45(12): 2151-2161 https://doi. DOI： 10.19805/j.cnki.jcspe.2025.250414.

org/10.19805/j.cnki.jcspe.2025.250414 DOI：

摘要

针对能源站内部供能网络拓扑不清晰且多能、碳能关联关系复杂

以及站网互动过程中碳电耦合建模不足问题

充分考虑储能设备蓄放过程对供能网络碳流分布动态影响

提出并网型含储冷热电联供能源站碳能流动态建模方法

并在此基础上充分考虑分时电价与系统内部动态碳势对系统节能降碳的影响

构建站网低碳互动优化模型。结果表明:并网型冷热电联供能源站供能网络拓扑呈现星状结构

站内储能设备的动态蓄放过程对供能网络碳流分布有重要影响;所提出的站网低碳互动优化模型能够实现能源站运行成本下降3.9%

碳排放量下降4.4%

同时对配电网的电力供需平衡和低碳发展起到一定支撑作用。

Abstract

In response to the unclear topology of energy supply network within energy station

the complexity of multi-energy and carbon energy interrelationships

as well as the insufficient modeling of carbon-electric coupling in the interaction process of station network

by fully considering the dynamic impact of charging and discharging process of energy storage equipment on distribution of carbon flow in supply network

a dynamic modeling method for carbon energy flow in grid-connected energy stations with CCHP combined energy supply was proposed. Based on this

a low-carbon interactive optimization model for the power grid was constructed by considering the impact of time-of-use electricity pricing and the internal dynamic carbon potential of the system on energy conservation and carbon reduction of the system. Results show that the energy supply network topology of the grid-connected combined heat

power and cooling energy station presents a star-like structure

and the dynamic charging and discharging process of the energy storage equipment has a significant impact on the carbon flow distribution of the energy supply network. Furthermore

the proposed low-carbon interactive optimization model can reduce the operating costs of energy stations by 3.9% and carbon emissions by 4.4%

while also supporting the power supply and demand balance and low-carbon development of distribution network.

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references

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