现代电子技术2026，Vol.49Issue(12)：54-62,68,10.DOI:10.16652/j.issn.1004-373X.2026.12.009
含可逆固体氧化物燃料电池的虚拟电厂随机鲁棒优化
Stochastic robust optimization of VPP containing reversible solid oxide fuel cell
摘要
Abstract
Under the background of"dual carbon",virtual power plant(VPP)has attracted widespread attention for their ability to integrate renewable energy,improve energy efficiency and reduce carbon emissions.In order to adapt to the cleanliness trend of low carbon,a VPP architecture containing reversible solid oxide fuel cell(RSOC)and hydrogen storage is proposed,namely RSOC-VPP.In allusion to the significant volatility and corresponding cost changes caused by frequent charging and discharging during RSOC operation,an RSOC-VPP structure is established and a mathematical model is constructed with full consideration of its volatility cost.Taking the maximum daily revenue of a VPP as the optimization objective,conditional value at risk is used to measure the operational risk of VPP.Based on the stochastic robust optimization theory,the uncertainties of electricity market prices,photovoltaic output and flexible loads are characterized by means of scenario generation and confidence intervals,and an optimal scheduling model of RSOC-VPP is established.The example analysis is conducted,and the results show that VPP can make full use of photovoltaic power generation and meet the charging and energy supply demands of electricity and hydrogen loads by power-hydrogen coupling.In comparison with the stochastic optimization,the stochastic robust optimization can show higher stability and reliability when dealing with uncertainty.In comparison with robust optimization,the stochastic robust optimization can achieve higher economic benefits while maintaining system robustness.关键词
虚拟电厂/可逆固体氧化物燃料电池/波动性成本/条件风险价值/不确定性/随机鲁棒优化Key words
virtual power plant/reversible solid oxide fuel cell/fluctuating cost/conditional value at risk/uncertainty/stochastic robust optimization分类
信息技术与安全科学引用本文复制引用
李凯,杨自娟,陈佳佳..含可逆固体氧化物燃料电池的虚拟电厂随机鲁棒优化[J].现代电子技术,2026,49(12):54-62,68,10.基金项目
国家自然科学基金项目:用户侧多元分散双向功率资源虚拟聚合与协同控制研究(52377110) （52377110）
