张亚杰,崔威,吴凡,宋佳桐,王歌,王飞
ZHANG Yajie,CUI Wei,WU Fan,SONG Jiatong,WANG Ge,WANG Fei

• 1:国网雄安新区供电公司
• 2:国网河北省电力有限公司
• 3:国网福建省电力有限公司营销服务中心
• 4:华北电力大学电力工程系

摘要(Abstract)：

在推动电力系统低碳转型过程中，融合信息、物理、社会等多因素对于有效管理用户侧碳资产以及实施虚拟电厂低碳调控至关重要。为此，提出一种基于信息-物理-社会融合系统的虚拟电厂低碳调控模型。首先，建立基于信息-物理-社会融合系统的虚拟电厂低碳调控框架；然后，结合动态碳排放因子与用户响应行为时序耦合特征，建立基于碳资产价格系数的用户侧碳资产开发评价体系，以获取低碳需求响应用户优选序列；最后，提出以降低虚拟电厂碳排放量为目标的优化模型，依据优选序列对虚拟电厂进行有序调控。在IEEE 33节点系统上进行算例分析，仿真结果表明：所提低碳调控方法可在最大限度遵循用户用电规律的基础上，充分开发用户侧碳资产，从而实现虚拟电厂低碳调控。
In the process of promoting the low-carbon transformation of power systems, integrating cyber, physical, and social factors is crucial for effectively managing carbon assets on the user side and implementing low-carbon scheduling in virtual power plants(VPPs). To this end, this paper proposes a low-carbon scheduling model for VPPs based on a cyber-physical-social system(CPSS). First, a low-carbon scheduling framework for VPPs is established under the CPSS. Then, considering the coupling characteristics of dynamic carbon emission factors and users' response behavior over time, a user-side carbon asset development evaluation system based on carbon asset price coefficients is built to obtain an optimized user sequence for low-carbon demand response. Finally, an optimization model is proposed with the objective of minimizing carbon emissions from VPPs, and orderly scheduling is performed based on the optimized sequence. Case analysis on the IEEE 33-node system demonstrates that the proposed low-carbon scheduling method maximizes adherence to users' electricity consumption patterns while fully exploiting user-side carbon assets, thereby achieving low-carbon scheduling for VPPs.

关键词(KeyWords)： 虚拟电厂;低碳调控;用户侧碳资产开发;碳排放流理论;用户碳资产价格系数
VPP;low-carbon scheduling;user-side carbon asset development;carbon emission flow theory;users' carbon asset price coefficients

Abstract:

Keywords:

基金项目(Foundation): 国家电网有限公司科技项目（kj2023-084）;; 国家重点研发计划项目（2022YFB2403000）

作者(Author): 张亚杰,崔威,吴凡,宋佳桐,王歌,王飞
ZHANG Yajie,CUI Wei,WU Fan,SONG Jiatong,WANG Ge,WANG Fei

DOI: 10.19585/j.zjdl.202504006

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