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基于数据驱动的电网电-碳协同管控技术研究

QIAO Jibin LIU Dong

电器与能效管理技术Issue(12):9-16,8.
电器与能效管理技术Issue(12):9-16,8.DOI:10.16628/j.cnki.2095-8188.2025.12.002

基于数据驱动的电网电-碳协同管控技术研究

Research on Data-Driven Power Grid Electricity-Carbon Collaborative Management and Control Technology

QIAO Jibin 1LIU Dong2

作者信息

  • 1. Beijing Kedong Electric Power Control System Co.,Ltd.,Nari Group Corporation,Beijing 100192,China
  • 2. China Electric Power Research Institute,Beijing 100192,China
  • 折叠

摘要

Abstract

In response to the problems in the current power grid operation field,such as weak carbon sensing capability,lack of carbon trace records,absence of a carbon evaluation index system,and insufficient carbon traceability technical means,the construction of a power grid electricity-carbon collaborative management and control platform to achieve intelligent analysis and decision support for power grid carbon trajectories is proposed.First,the overall architecture of the platform is built.Then,in-depth research is conducted on the key technologies of electricity-carbon collaborative management and control,focusing on improving the accuracy of carbon emission analysis and the capability of carbon data value mining.Finally,experiments are carried out to verify the platform's functions of low-carbon dispatching optimization and real-time carbon emission monitoring.The results show that the proposed platform can effectively support the real-time monitoring of power grid carbon emissions,provide the accurate decision-making basis for low-carbon dispatching,significantly improve the effectiveness of power grid carbon management and control,and lay a technical foundation for the evaluation of carbon emission reduction potential.

关键词

电网/电-碳协同/碳迹追踪/低碳调度

Key words

power grid/electricity-carbon collaboration/carbon trace tracking/low carbon scheduling

分类

信息技术与安全科学

引用本文复制引用

QIAO Jibin,LIU Dong..基于数据驱动的电网电-碳协同管控技术研究[J].电器与能效管理技术,2025,(12):9-16,8.

基金项目

国家重点研发计划项目(SGNC0000DKJS2500232) (SGNC0000DKJS2500232)

电器与能效管理技术

2095-8188

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