电器与能效管理技术 ›› 2025, Vol. 0 ›› Issue (12): 9-16.doi: 10.16628/j.cnki.2095-8188.2025.12.002

• 研究与分析 • 上一篇    下一篇

基于数据驱动的电网电-碳协同管控技术研究

乔继斌1, 刘东2   

  1. 1 南瑞集团有限公司 北京科东电力控制系统有限责任公司, 北京 100192
    2 中国电力科学研究院有限公司, 北京 100192
  • 收稿日期:2025-08-21 出版日期:2025-12-30 发布日期:2025-12-31
  • 作者简介:乔继斌(1972—),男,工程师,主要从事电力系统分析及其自动化工作。|刘 东(1990—),男,工程师,主要从事电力系统分析及其自动化工作。
  • 基金资助:
    国家重点研发计划项目(SGNC0000DKJS2500232)

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

QIAO Jibin1, LIU Dong2   

  1. 1 Beijing Kedong Electric Power Control System Co., Ltd., Nari Group Corporation, Beijing 100192, China
    2 China Electric Power Research Institute, Beijing 100192, China
  • Received:2025-08-21 Online:2025-12-30 Published:2025-12-31

摘要:

针对当前电网运行领域碳感知能力薄弱、碳痕迹记录缺失、碳评价指标体系空白、碳追溯技术手段不足等问题,提出构建电网电-碳协同管控平台,以实现电网碳轨迹的智能分析与决策支持。首先搭建平台整体架构,进而深入研究电-碳协同管控关键技术,重点提升碳排放分析精度与碳数据价值挖掘能力;然后通过实验对平台的低碳调度优化与碳排放实时监测功能进行验证。结果表明,所提平台可有效支撑电网碳排放实时监测,为低碳调度提供精准决策依据,显著提升电网碳管控实效,为碳减排潜力评估奠定技术基础。

关键词: 电网, 电-碳协同, 碳迹追踪, 低碳调度

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.

Key words: power grid, electricity-carbon collaboration, carbon trace tracking, low carbon scheduling

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