浙江电力2025，Vol.44Issue(4)：50-60,11.DOI:10.19585/j.zjdl.202504006
基于信息-物理-社会融合系统的虚拟电厂低碳调控模型
A low-carbon scheduling model for virtual power plants based on a cyber-physical-social system
摘要
Abstract
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 estab-lished under the CPSS.Then,considering the coupling characteristics of dynamic carbon emission factors and us-ers'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 optimi-zation 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 pro-posed low-carbon scheduling method maximizes adherence to users'electricity consumption patterns while fully ex-ploiting user-side carbon assets,thereby achieving low-carbon scheduling for VPPs.关键词
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Key words
VPP/low-carbon scheduling/user-side carbon asset development/carbon emission flow theory/users'carbon asset price coefficients引用本文复制引用
张亚杰,崔威,吴凡,宋佳桐,王歌,王飞..基于信息-物理-社会融合系统的虚拟电厂低碳调控模型[J].浙江电力,2025,44(4):50-60,11.基金项目
国家电网有限公司科技项目(kj2023-084) （kj2023-084）
国家重点研发计划项目(2022YFB2403000) （2022YFB2403000）
