电力建设2025，Vol.46Issue(7)：13-26,14.DOI:10.12204/j.issn.1000-7229.2025.07.002
计及新型分布式资源与电碳交易的虚拟电厂分布鲁棒低碳调度模型
Distributionally Robust Low-Carbon Scheduling Model for Virtual Power Plants Considering Emerging Distributed Resources and Electricity Carbon Trading
摘要
Abstract
[Objective]To improve the low-carbon economic performance of scheduling strategies for virtual power plants,this study proposes a distributionally robust low-carbon scheduling model that incorporates emerging distributed resources and electricity-carbon trading.[Methods]First,this study established an electricity-carbon trading framework for a virtual power plant.Second,two emerging distributed resources(e.g.,electric hydrogen production system and carbon capture system)were modeled within virtual power plants,along with traditional distributed resources(e.g.,energy storage,wind power,and photovoltaics).Next,to minimize costs and consider the impact of electricity carbon trading,a low-carbon scheduling model for virtual power plants was established.Owing to the difficulty in obtaining accurate probability distributions of wind and solar power outputs and electric hydrogen loads,an uncertainty set of probability distributions was constructed using the 1-norm and infinite-norm.To avoid the complex iterations required in traditional multiple discrete-scenario distributionally robust optimization methods,this study solves the proposed model using a strong duality.Finally,the effectiveness of the proposed model in addressing source-load uncertainty and improving economic and low-carbon performance was verified based on numerical examples.[Results]Electricity-carbon trading reduced costs by approximately 24.7%compared to no electricity-carbon trading.Excess renewable energy could be sold entirely to the electricity market to obtain profitable operational results.Considering both the carbon capture system and the electric hydrogen production system,both abandoned electricity and operating costs are further respectively reduced by about 34.7%and 28.1%when only considering the carbon capture system,and respectively by about 2.6%and 1.8%when only considering the electric hydrogen production system.The total profit error of the proposed distributionally robust optimization method was approximately 1.7%,and the solving speed improved by approximately 40%.[Conclusions]Electricity-carbon trading and the integration of electric hydrogen production system and carbon capture system can jointly reduce scheduling costs,abandoned electricity,and carbon emissions.Moreover,the proposed distributionally robust optimization method showed high accuracy in decision-making results and significantly improved the solving speed.关键词
新型分布式资源/虚拟电厂/电碳交易/分布鲁棒/低碳调度Key words
new-type distributed resources/virtual power plant/electricity carbon trading/distributionally robust optimization/low-carbon scheduling分类
信息技术与安全科学引用本文复制引用
王家怡,贺帅佳..计及新型分布式资源与电碳交易的虚拟电厂分布鲁棒低碳调度模型[J].电力建设,2025,46(7):13-26,14.基金项目
国家自然科学基金项目(52307123) This work is supported by National Natural Science Foundation of China(No.52307123). （52307123）
