摘要
面向气-电耦合配网,提出一种基于信息间隙决策理论(information gap decision theory,IGDT)的多能协同优化调度方法。首先,采用二阶锥优化(second-order conic program,SOCP)松弛描述配电网与天然气管网的能量流特征,利用电/气/冷/热多能互补及协同转化作为运行灵活性提升的重要手段,以经济性最优为原则,建立气-电耦合配网调度的确定性优化模型。在此基础上,提出基于IGDT的多能协同滚动调度方法,生成时变的动态风险边界。最后,在基于IEEE 33节点配电网和比利时20节点天然气网络的多能耦合系统中对所提方法进行了测试验证。算例结果表明,所提调度方法可以充分发挥气-电耦合配网的多能互补优势,并克服了传统滚动调度方法对于可再生能源预测精度的依赖,有效提升了系统对不确定性风险的承受能力,进而在鲁棒性与运行经济性之间取得合理权衡。
To full play to the advantages of integrated electricity-gas distribution network,a multi-energy coordinative optimization scheduling method based on information gap decision theory(IGDT)was proposed.Firstly,the second-order conic program(SOCP)formulation was developed to capture the energy flows of power distribution network and natural gas delivery system,and the multi-energy coordination and synergetic conversion were employed as an important measure to enhance the operational flexibility.Secondly,following the cost-minimization principle,a deterministic scheduling model was constructed for the integrated electricity-gas distribution network.Thirdly,to handle the uncertainty of renewable energy(RE)generation and multi-energy load variation,a multienergy collaborative rolling-horizon scheduling method based on information-gap decision theory,which helped to yield the time-varying dynamic bounds for the risk-tolerance on RE forecast errors,was developed.Finally,the proposed model and scheduling approach were tested on an exemplary electricitygas distribution network based on IEEE 30-Bus power system and Belgium 20-Bus natural gas delivery network.As indicated by the numerical results,the proposed rolling-horizon scheduling method based on IGDT achieves the full advantages of multi-energy complementary.Also,different from the traditional rolling-horizon method,the proposed method is less sensitive to RE forecast errors,which effectively improves systems’risk-hedging ability to uncertain risks,and thus makes a trade-off between robustness and operational economics.
作者
屈小云
寇凌峰
吴鸣
季宇
QU Xiaoyun;KOU Lingfeng;WU Ming;JI Yu(State Grid Shanghai Energy Internet Research Institute Co.,Ltd.,Haidian District,Beijing 100192,China)
出处
《现代电力》
北大核心
2022年第2期193-202,I0011,I0012,共12页
Modern Electric Power
基金
中国电力科学研究院有限公司研究开发项目(PD83-19-014)的支持。
关键词
气-电耦合配网
多能协同优化
日内滚动调度
信息间隙决策理论(IGDT)
可再生能源消纳
integrated electricity-gas distribution network
multi-energy coordination
intra-day rolling-horizon scheduling
information gap decision theory(IGDT)
renewable energy accommodation
