Construction and Application of a Spatiotemporal Differentiated Evaluation Indicator System for Low-carbon Operation in New-type Power Systems

ZHU Hongtao; LIU Dexu; LYU Siyu; ZHONG Haiwang; {{custom_author.name_en}}

doi:10.13334/j.0258-8013.pcsee.250351

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Construction and Application of a Spatiotemporal Differentiated Evaluation Indicator System for Low-carbon Operation in New-type Power Systems

更新时间：2026-06-11

- Construction and Application of a Spatiotemporal Differentiated Evaluation Indicator System for Low-carbon Operation in New-type Power Systems
- Vol. 46, Issue 7, Pages: 2654-2667(2026)
- 作者机构：
  
  1. 清华四川能源互联网研究院,四川省,成都市,610213
  2. 清华大学电机工程与应用电子技术系，北京市海淀区,100084
- 作者简介：
- 基金信息：
- DOI：10.13334/j.0258-8013.pcsee.250351
  CLC：
- Published：2026
- 稿件说明：
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ZHU Hongtao, LIU Dexu, LYU Siyu, et al. Construction and Application of a Spatiotemporal Differentiated Evaluation Indicator System for Low-carbon Operation in New-type Power Systems[J]. 2026, 46(7): 2654-2667.
DOI：

ZHU Hongtao, LIU Dexu, LYU Siyu, et al. Construction and Application of a Spatiotemporal Differentiated Evaluation Indicator System for Low-carbon Operation in New-type Power Systems[J]. 2026, 46(7): 2654-2667. DOI： 10.13334/j.0258-8013.pcsee.250351.

摘要

在“双碳”目标与“双控”政策的双重约束下，准确分析电力碳排放时空差异并评价电力系统低碳运行水平至关重要。该文提出一种计及时空分异的新型电力系统低碳运行评价方法。该方法充分考虑碳排放的时空异质性，对不同统计指标时空尺度进行归一化处理，以克服指标适用范围的局限性；基于碳排放因子法和碳排放流理论，构建新型电力系统碳排放多维评价指标体系，全面反映电源结构转型、电网运行和政策调控等对电力碳排放的影响；最后，采用随机森林算法优化指标权重，采用逼近理想解排序法进行综合评价和实证应用。在新型电力系统不同运行方式、发展阶段及子系统中的应用表明，该文指标体系与评价方法能够综合全面反映系统低碳运行水平，直观比较不同时空状态下系统低碳性差异，具有灵活的时空尺度选择性和广泛的适用性，可为新型电力系统低碳运行与碳排放管理提供决策支持。

Abstract

Given the constraints of the “dual carbon” goals and “dual control” policies

accurately analyzing spatiotemporal differences in electricity carbon emissions and evaluating the low-carbon operation levels of power systems are crucial. This study proposes a new evaluation method for low-carbon operation in power systems

considering spatiotemporal differentiation. By normalizing statistical indicators across spatiotemporal scales

it addresses the limitations in indicator applicability. A multi-dimensional evaluation indicator system is constructed based on the carbon emission factor method and carbon emission flow theory

reflecting the impacts of power structure transitions

grid operations

and policy regulation. The random forest algorithm is used to optimize indicator weights

and the technique for order preference by similarity to ideal solution (TOPSIS) method is applied for comprehensive evaluation. Applications show the method effectively reflects low-carbon operation performance

enables spatiotemporal comparisons

and supports decision-making for low-carbon management in new-type power systems.

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