中国电机工程学报2024，Vol.44Issue(24)：9718-9730,中插17,14.DOI:10.13334/j.0258-8013.pcsee.242431
多能互补的虚拟电厂低碳-经济-鲁棒优化调度
Low-carbon Economic-robust Optimization Scheduling of Multi-energy Complementary Virtual Power Plants
摘要
Abstract
To effectively reduce carbon emissions during virtual power plant operations and address the scheduling challenges posed by renewable energy volatility,this paper proposes a two-stage robust optimization model based on a tiered carbon trading mechanism,aiming to balance low carbon emissions,robustness,and economic efficiency.First,a virtual power plant system model integrating power-to-gas technology and carbon capture equipment is constructed,enhancing carbon reduction flexibility by decoupling CO2 capture and processing stages.Second,an adjustable uncertainty set models renewable energy volatility,enabling a robust optimization framework with objectives to minimize energy procurement,carbon,and demand response costs under worst-case scenarios.This framework is solved by using a column-and-constraint generation algorithm(C&CG)to ensure optimal scheduling under uncertainty.Finally,a tiered carbon trading mechanism refines power dispatch constraints to mitigate economic losses from overly conservative scheduling.Case studies demonstrate that this model enhances system resilience and reduces economic losses while achieving a balanced low-carbon,economically efficient operational objective through the tiered carbon trading mechanism.关键词
热电联产/碳捕集/电转气/阶梯碳交易/不确定性/两阶段鲁棒优化Key words
combined heat and power/carbon capture/power-to-gas/tiered carbon trading/uncertainty/two-stage robust optimization分类
信息技术与安全科学引用本文复制引用
刘金朋,胡国松,彭锦淳,李万鹏,袁银艺..多能互补的虚拟电厂低碳-经济-鲁棒优化调度[J].中国电机工程学报,2024,44(24):9718-9730,中插17,14.基金项目
教育部人文社会科学研究规划基金项目(23YJA630062).Project Supported by the Humanities and Social Sciences Research Planning Fund of the Ministry of Education(23YJA630062). （23YJA630062）
