分布式能源2025，Vol.10Issue(3)：42-52,11.DOI:10.16513/j.2096-2185.DE.24090507
考虑碳捕集及碳交易的虚拟电厂多目标优化调度
Multi-Objective Optimization Dispatching for Virtual Power Plants Considering Carbon Capture and Carbon Trading Strategy
摘要
Abstract
As a new type of power system scheduling mode,virtual power plant(VPP)can realize the efficient utilization of new energy power by aggregating distributed energy resources.However,the traditional scheduling strategy aiming at economy has been unable to meet the needs of current low-carbon development.Based on this,this paper proposes a multi-objective optimization scheduling strategy for VPP considering both economy and carbon emissions.Firstly,a post-combustion carbon capture device was introduced into the VPP system,and combined with a flexible carbon trading strategy,a multi-objective optimization scheduling model considering economic cost and carbon emissions was constructed.Secondly,to obtain the optimal solution of the model,the augmented ε-constraint method was used to solve the Pareto solution set,and the entropy weight-technique for order preference by similarity to ideal solution(TOPSIS)method was used to evaluate the solution set.Finally,multi-case simulation experiments were carried out around different carbon capture and carbon trading strategies to compare and analyze the differences in scheduling results between the single-objective model only considering economy or low-carbon characteristics and the multi-objective model considering both economy and carbon emissions.The experimental results show that when the ladder carbon trading mechanism and the corresponding carbon capture operation mode are adopted,the carbon emissions of VPP reach the lowest level.In addition,compared with the single objective model,the multi-objective optimization strategy considering both economy and carbon emissions can effectively reduce carbon emissions and improve economic benefits.关键词
虚拟电厂(VPP)/优化调度/碳捕集/多目标/碳交易Key words
virtual power plant(VPP)/optimal scheduling/carbon capture/multi-objective/carbon trading strategy分类
能源科技引用本文复制引用
邢耀敏,高春雨,廖丛林..考虑碳捕集及碳交易的虚拟电厂多目标优化调度[J].分布式能源,2025,10(3):42-52,11.基金项目
中国大唐集团有限公司科技项目(DTJJ-2021-1003)This work is supported by Science and Technology Project of China Datang Corporation(DTJJ-2021-1003) （DTJJ-2021-1003）
