1. 江西师范大学城市建设学院
2. 天津大学亚太经合组织可持续能源中心
3. 天津大学建筑学院
纸质出版:2025
移动端阅览
张吉强, 胡丹妮, 孙勇, 等. 基于树状高斯过程的综合能源系统低碳经济规划全局敏感性分析[J]. 全球能源互联网, 2025,8(1):13-23.
张吉强, 胡丹妮, 孙勇, et al. 基于树状高斯过程的综合能源系统低碳经济规划全局敏感性分析[J]. 2025, 8(1): 13-23.
张吉强, 胡丹妮, 孙勇, 等. 基于树状高斯过程的综合能源系统低碳经济规划全局敏感性分析[J]. 全球能源互联网, 2025,8(1):13-23. DOI: 10.19705/j.cnki.issn2096-5125.2025.01.003.
张吉强, 胡丹妮, 孙勇, et al. 基于树状高斯过程的综合能源系统低碳经济规划全局敏感性分析[J]. 2025, 8(1): 13-23. DOI: 10.19705/j.cnki.issn2096-5125.2025.01.003.
综合能源系统低碳经济规划受多重不确定因素影响,如何有效识别关键影响因素对系统规划优化至关重要。基于此提出了一种综合能源系统低碳经济规划影响要素全局敏感性分析方法。首先,构建一个包含电、热、冷等多能流耦合的综合能源系统拓扑结构。其次,分别以系统等效年成本和二氧化碳年排放量最小为优化目标,建立综合能源系统混合整数线性规划模型。然后,根据系统设备特性和市场环境筛选26个不确定因素,分别对其概率表征和分层抽样,求得不同样本对应的低碳经济规划结果。最后,采用树状高斯过程方法对影响系统低碳经济规划的不确定因素进行全局敏感性分析。通过算例验证了所提方法能够高效准确识别影响综合能源系统规划的关键不确定因素。
Chao Liu,Weiru Wang,Jing Li,Xinyuan Liu,Yongning Chi.Optimized scheduling of integrated energy systems for low carbon economy considering carbon transaction costs[J].Global Energy Interconnection,2024(04).
吴艳娟,张亦炫,王云亮.计及多重需求响应的综合能源系统多时间尺度低碳运行[J].电力工程技术,2024(02).
李剑峰,姜涛,窦文雷,李庸睿,宋卓然,王长江.电-热-氢综合能源系统鲁棒区间优化调度[J].电力工程技术,2024(02).
刘皓明,陈锴,杨志豪.考虑不确定性的综合能源供应商日前优化运行策略[J].电力需求侧管理,2024(01).
范建斌,孟昭军,单沫文,吕良君.综合能源系统关键技术与国际标准化综述[J].电网与清洁能源,2023(12).
孙天贺,靳双源,刘国斌,胡亚青,曲永强.考虑源荷不确定性的光伏小镇鲁棒优化配置[J].电力工程技术,2023(06).
贺文,陈珍萍,胡伏原,景苏川,顾敏明.基于一致性的综合能源系统低碳经济调度[J].电力系统保护与控制,2023(19).
马传杰,孙宇贞,彭道刚,赵慧荣.基于XGBoost-MTL的综合能源系统多元负荷预测[J].电力工程技术,2023(05).
张新鹤,熊俊杰,何桂雄,饶臻,钟鸣,易子木.计及柔性负荷的乡村地区电-热多能系统经济优化运行[J].全球能源互联网,2023(05).
王永真,潘崇超,韩恺,杨旭升,李娜,戴璟,李嘉宇,朱晨光.“双碳”目标下中国综合能源服务的态势辨析与理论架构[J].全球能源互联网,2023(04).
康丽虹,贾燕冰,谢栋,田丰,王子辉.考虑混氢天然气的综合能源系统低碳经济调度[J].电网与清洁能源,2023(07).
晋旭东,孙磊,丁明,文福拴,孙伟.考虑用户响应不确定性的园区综合能源系统分布鲁棒低碳调度[J].电力系统自动化,2023(16).
于馨玮,陈继明,仉志华.分布鲁棒优化在综合能源系统调度与规划中的应用综述[J].全球能源互联网,2023(02).
徐楠,赵子豪,张丹阳,周波,王永利,聂婧,宋妍.双碳目标下考虑风光不确定性的综合能源系统规划研究[J].可再生能源,2023(02).
吴孟雪,房方.计及风光不确定性的电-热-氢综合能源系统分布鲁棒优化[J].电工技术学报,2023(13).
张虹,孟庆尧,王明晨,李佳旺,张玉海.考虑火电机组参与绿证购买交易的含氢综合能源系统经济低碳调度策略[J].电力系统保护与控制,2023(03).
李鹏,王加浩,黎灿兵,王子轩,殷云星,韩中合,潘有朋,文淼.计及源荷不确定性与设备变工况特性的园区综合能源系统协同优化运行方法[J].中国电机工程学报,2023(20).
苏向敬,刘一航,张知宇,符杨.计及源荷不确定影响的不平衡配电网两阶段优化[J].电力系统保护与控制,2022(23).
王盛,丁一.考虑多能互补和负荷不确定性的区域综合能源系统优化定容与资产利用效率分析[J].全球能源互联网,2019(05).
余晓丹,徐宪东,陈硕翼,吴建中,贾宏杰.综合能源系统与能源互联网简述[J].电工技术学报,2016(01).
Mohit S. Chauhan,Mariel Ojeda Tuz,Ryan A. Catarelli,Kurtis R. Gurley,Dimitrios Tsapetis,Michael D. Shields.On active learning for Gaussian process-based global sensitivity analysis[J].Reliability Engineering and System Safety,2024.
Yian Zhu,Siqi Wu,Jiayi Li,Qi Jia,Tiantian Zhang,Xuedan Zhang,Dongliang Han,Yufei Tan.Towards a carbon-neutral community: Integrated renewable energy systems (IRES)–sources, storage, optimization, challenges, strategies and opportunities[J].Journal of Energy Storage,2024.
Zhao Naixin,Gu Wenbo.Low-carbon planning and optimization of the integrated energy system considering lifetime carbon emissions[J].Journal of Building Engineering,2024.
Hu Junjie,Wang Yudong,Dong Lei.Low carbon-oriented planning of shared energy storage station for multiple integrated energy systems considering energy-carbon flow and carbon emission reduction[J].Energy,2024.
El-Emam Rami S.,Constantin Alina,Bhattacharyya Rupsha,Ishaq Haris,Ricotti Marco E..Nuclear and renewables in multipurpose integrated energy systems: A critical review[J].Renewable and Sustainable Energy Reviews,2024.
Xiaoou Liu.Research on dimension reduction for visualization of simplified security region of integrated energy system considering renewable energy access[J].International Journal of Electrical Power and Energy Systems,2024.
M. Laimon,T. Yusaf.Towards energy freedom: Exploring sustainable solutions for energy independence and self-sufficiency using integrated renewable energy-driven hydrogen system[J].Renewable Energy,2024.
Xiao Hui,Long Feiyu,Zeng Linjun,Zhao Wenqin,Wang Jun,Li Yihang.Optimal scheduling of regional integrated energy system considering multiple uncertainties and integrated demand response[J].Electric Power Systems Research,2023.
Li Dong,Jiang Penghao,Hu Chen,Yan Ting.Comparison of local and global sensitivity analysis methods and application to thermal hydraulic phenomena[J].Progress in Nuclear Energy,2023.
Uzair Muhammad,Rehman Naveed ur,Yousuf Muhammad Uzair.Sensitivity analysis of capital and energy production cost for off-grid building integrated photovoltaic systems[J].Renewable Energy,2022.
Ji Ling,Liang Xiaolin,Xie Yulei,Huang Guohe,Wang Bing.Optimal design and sensitivity analysis of the stand-alone hybrid energy system with PV and biomass-CHP for remote villages[J].Energy,2021.
Dong Mi,Li Ya,Song Dongran,Yang Jian,Su Mei,Deng Xiaofei,Huang Lingxiang,Elkholy M.H.,Joo Young Hoon.Uncertainty and global sensitivity analysis of levelized cost of energy in wind power generation[J].Energy Conversion and Management,2021.
Zhihui Song,Tao Liu,Yanju Liu,Xuedan Jiang,Qizhao Lin.Study on the optimization and sensitivity analysis of CCHP systems for industrial park facilities[J].International Journal of Electrical Power and Energy Systems,2020.
Tao Zhang,Minli Wang,Peihong Wang,Junyu Liang.Optimal Design of a Combined Cooling, Heating, and Power System and Its Ability to Adapt to Uncertainty[J].Energies,2020.
Rong Zeng,Xiaofeng Zhang,Yan Deng,Hongqiang Li,Guoqiang Zhang.An off-design model to optimize CCHP-GSHP system considering carbon tax[J].Energy Conversion and Management,2019.
Georgios Mavromatidis,Kristina Orehounig,Jan Carmeliet.Uncertainty and global sensitivity analysis for the optimal design of distributed energy systems[J].Applied Energy,2018.
Yuehong Lu,Shengwei Wang,Chengchu Yan,Kui Shan.Impacts of renewable energy system design inputs on the performance robustness of net zero energy buildings[J].Energy,2015.
Wei Tian.A review of sensitivity analysis methods in building energy analysis[J].Renewable and Sustainable Energy Reviews,2013.
Robert B. Gramacy,Matthew Taddy.Categorical Inputs, Sensitivity Analysis, Optimization and Importance Tempering with tgp Version 2, an R Package for Treed Gaussian Process Models[J].Journal of Statistical Software,2010.
I.M Sobol′.Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates[J].Mathematics and Computers in Simulation,2001.
A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output[J].Technometrics,1999(1).
Factorial Sampling Plans for Preliminary Computational Experiments[J].Technometrics,1991(2).
0
浏览量
59
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621