WANG Xuqiang, ZHANG Xin, LIU Hongchang, et al. Robust Optimal Scheduling of Power-Gas Interconnected Integrated Energy System with Double Uncertainty of Source and Load[J]. Modern Electric Power, 2019, 36(6): 52-60.
Citation: WANG Xuqiang, ZHANG Xin, LIU Hongchang, et al. Robust Optimal Scheduling of Power-Gas Interconnected Integrated Energy System with Double Uncertainty of Source and Load[J]. Modern Electric Power, 2019, 36(6): 52-60.

Robust Optimal Scheduling of Power-Gas Interconnected Integrated Energy System with Double Uncertainty of Source and Load

More Information
  • Received Date: November 30, 2018
  • Published Date: December 08, 2019
  • Aiming at the risk of uncertainties to operation and scheduling of the electric-gas interconnected integrated energy system, a robust optimal scheduling model for this system is proposed by considering double uncertainties of new energy and load. A stochastic programming model for the integrated energy system with Electricity-Gas interconnection is established with the total minimal operating cost as the objective function. The moment uncertainty distributed robust optimization method (DRO-MU) is used to construct the uncertainty set of wind power output and load. Under the source-load double uncertainty set, the stochastic programming model is transformed into a moment-indeterminate distributed robust optimization model, which is transformed into a deterministic semi-definite programming model by Lagrangian duality principle. The simulation results show that the operating cost obtained by using the DRO-MU model considering the dual uncertainty of source and load is increased compared without considering new energy or load uncertainty. However, the new scheme reduces the operation risk brought by uncertainties, and is more realistic. Compared with the stochastic optimization method and the traditional robust method, the DRO-MU method not only ensures the robustness of the scheduling strategy, but also overcomes its overly conservative problem. As the range of source-load moment uncertainties increases, the system operation cost increases. By setting the range of source-load moment uncertainties reasonably, the system economy and robustness can be balanced.
  • 舒印彪,张智刚,郭剑波,等.新能源消纳关键因素分析及解决措施研究[J].中国电机工程学报,2017,37(1):19.
    SHU Yinbiao, ZHANG Zhigang, GUO Jianbo,et al. Analysis of key factors in the elimination of new energy and research on solutions[J]. Proceedings of the CSEE,2017,37(1):19.
    USHNIK M, SEAN W, MICHAEL F,et al. Development of a pricing mechanism for valuing ancillary, transportation and environmental services offered by a power to gas energy system[J]. Energy, 2017, 128.
    BIZUAYEHU A W, NIETA A S,CONTRERAS J.Impacts of stochastic wind power and storage participation on economic dispatch in distribution systems[J].IEEE Transactions on Sustainable Energy,2016,7(3):13361345.
    胡浩,王英瑞,曾博,等. 基于CVaR理论的综合能源系统经济优化调度[J]. 电力自动化设备,2017,37(6):209219.
    HU Hao, WANG Yingrui, ZENG Bo, et al. Economic optimization scheduling of integrated energy system based on CVaR theory[J]. Electric Power Automation Equipment, 2017, 37(6): 209219.
    BAI L,LI F,CUI h. Interval optimization based operating strategy for gas-electricity integrated energy systems considering demand response and wind uncertainty [J]. Applied Energy,2016,167:270279.
    QADRDAN M,WU J,JENKINS Nl. Operating strategies for a GB integrated gas and electricity network considering the uncertainty in wind power forecasts[J]. IEEE Transactions on Sustainable Energy,2014,5(1):128138.
    ZHANG X,SHAHIDEHPOUR M,Alabdulwahab A S. security-constrained cooptimization planning of electricity and natural gas transportation infrastructures[J]. IEEE Transactions on Power Systems,2015,30(6):29842993.
    ALABDULWAHAB A,ABUSORRAH A,ZHANG X. Coordination of interdependent natural gas and electricity infrastructures for firming the variability of wind energy in stochastic dayahead scheduling[J]. IEEE Transactions on Sustainable Energy,2015,6(2):606615.
    PARISIO A,VECCHIO C D,VACCARO A. A robust optimization approach to energy hub management[J]. International Journal of Electrical Power & Energy Systems,2012,42(1):98104.
    孙元章,吴俊,李国杰,等.基于风速预测和随机规划的含风电场电力系统动态经济调度[J].中国电机工程学报, 2016, 29(4): 4147.
    SUN Yuanzhang, WU Jun, LI Guojie,et al. Dynamic economic dispatch considering wind power penetration based on wind speed forecasting and stochastic programming[J].Proceedings of the CSEE, 2016, 29(4):4147.
    李志刚,吴文传,张伯明,等. 消纳大规模风电的鲁棒区间经济调度不确定集合构建与保守度调节[J]. 电力系统自动化,2014,38(21):3238.
    LI Zhigang,WU Wenchuan,ZHANG Boming,et al. A robust interval economic dispatch method accommodating large-scale wind power generation part two uncertainty set modeling and conservativeness adjustment[J]. Automation of Electric Power Systems,2014,38(21):3238.
    HEREDIA F J,RIDER M J,CORCHERO C. Optimal bidding strategies for thermal and generic programming units in the dayahead electricity market [J]. IEEE Trans on Power Systems,2010,25(3):15041518.
    余爽,卫志农,孙国强,等. 考虑不确定性因素的虚拟电厂竞标模型[J]. 电力系统自动化,2014,38(9):4349.
    YU Shuang,WEI Zhinong,SUN Guoqiang,et al. A bidding model for a virtual power plant considering uncertainties[J].Automation of Electric Power Systems,2014,38(9):4349.
    LAIA R,POUSINHO H M I. Self-scheduling and bidding strategies of thermal units with stochastic emission constraints[J].Energy Conversion and Management,2015,89:975984.
    陈胜,卫志农,孙国强,等.电气混联综合能源系统概率能量流分析[J].中国电机工程学报, 2015, 35(24):63316340.
    CHEN Sheng, WEI Zhinong, SUN Guoqiang,et al. Probabilistic energy flow analysis in integrated electricity and natural-gas energy systems[J]. Proceedings of the CSEE, 2015,35(24):63316340.
    CHEN Z X. Coordinated optimal dispatch and market equilibrium of integrated electric power and natural gas networks with P2G embedded[J]. Journal of Modern Power Systems and Clean Energy, 2018, 6(3): 495508.
    赵霞,杨仑,瞿小斌,等.电气综合能源系统能流计算的改进方法[J].电工技术学报,2018,33(3):467477.
    ZHAO Xia, YANG Lun, ZHAI Xiaobin, et al. An improved method for energy flow calculation of electro-gas integrated energy system[J].Transactions of China Electrotechnical Society, 2018,33(3):467477.
    卫志农,张思德,孙国强,等. 计及电转气的电–气互联综合能源系统削峰填谷研究[J]. 中国电机工程学报,2017,37(16):46014609,4885.
    WEI Zhinong, ZHANG Side, SUN Guoqiang, et al. Research on peak-to-valley filling of electric-gas interconnection integrated energy system considering electric gas conversion[J]. Proceedings of the CSEE, 2017, 37(16):46014609,4885.
    GOTZ M,LEFEBVRE J,MORS F.Renewable power-to-gas: technological and economic review[J].Renewable Energy,2016,(5):13711390.
    SCHIEBAHN S, GRUBE T, ROBINIUS M. Power to gas:technological overview, systems analysis and economic assessment for a case study in Germany[J]. International Journal of Hydrogen Energy, 2015,40(12): 42854294.
  • Cited by

    Periodical cited type(16)

    1. 史美娟. 基于模型预测控制的电——气互联系统动态优化调度研究. 青海电力. 2024(01): 1-7 .
    2. 王巍,周芷伊,徐向彬,丛日辉,闫敏,孙平,刘童. 计及源-荷不确定性及需求侧响应的多主体综合能源系统两阶段鲁棒优化配置. 电力大数据. 2024(03): 23-32 .
    3. 孙烨桦,吴杰康,詹耀国,罗伟明,洪明志,彭其坚,张勋祥,方梓康,谢明钊. 海上风电与电氢混合储能协同运行优化. 新型电力系统. 2024(03): 346-356 .
    4. 赵振宇,包格日乐图,李炘薪. 基于信息间隙决策理论的含碳捕集-电转气综合能源系统优化调度. 发电技术. 2024(04): 651-665 .
    5. 阎誉榕,刘泽三,张维,李彦龙. 考虑网络约束和区间不确定性的综合能源微电网鲁棒优化调度方法. 大电机技术. 2023(01): 91-97 .
    6. 陈典,陆润钊,张松涛,张健,张立波,孙华东. 新型电力系统电力电量平衡计算分析技术综述. 电网技术. 2023(10): 3952-3970 .
    7. 盛建雄,张云峰,叶韵,虞思城,黄绍模,孙毅,李泽坤. 高弹性电网下考虑不确定性的负荷调控两阶段优化模型. 华北电力大学学报(自然科学版). 2022(01): 37-47 .
    8. 侯磊,马涛,蔡毅,李娜,贾永会,金泰,潘崇超. 孤岛型多能互补系统的规划与运行优化模型研究. 电测与仪表. 2022(03): 108-116 .
    9. 宫成,宋靓云,王卫,王腾飞,夏世威,张东英. 鲁棒优化在电力系统机组组合中的应用综述. 科学技术与工程. 2022(12): 4687-4695 .
    10. 胥洪远,龙太聪,赵启道,李湃,南璐,张琪,陈宇航,谭晶. 考虑电转气消纳水电的水-电-气系统低碳鲁棒优化调度. 中国电力. 2022(11): 163-174 .
    11. 徐超,张宇,于伟,刘富田,周强. 计及协同调峰的新能源供电出力调度模型设计. 能源与环保. 2022(12): 237-243 .
    12. 曹金声,薛峰,程小华. 基于分布鲁棒优化的工业园区交直流混合配电系统日前经济调度. 广东电力. 2021(08): 61-69 .
    13. 吕振华,李强,韩华春. 基于多目标的气电互联综合能源系统规划研究. 电力电容器与无功补偿. 2021(05): 214-220 .
    14. 冯春生,杨秀媛,陈小波. 考虑储能荷电状态平抑风电功率的抛物线规则变滤波时间常数方法. 现代电力. 2020(05): 518-525 . 本站查看
    15. 刘万福,赵树野,康赫然,章浩,徐栎,李东野. 考虑源荷双重不确定性的多能互补系统两阶段鲁棒优化调度. 电力系统及其自动化学报. 2020(12): 69-76 .
    16. 朱理,刘龙灿. 考虑负荷平移的综合能源系统日前优化运行. 电子测量技术. 2020(22): 67-71 .

    Other cited types(27)

Catalog

    Article views (431) PDF downloads (31) Cited by(43)

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return