1. 中国农业大学信息与电气工程学院
2. 清华大学电机工程与应用电子技术系
纸质出版:2020
移动端阅览
付学谦, 周亚中, 孙宏斌, 等. 园区农业能源互联网在线安全分析:评述与展望[J]. 中国电机工程学报, 2020,(17):5404-5412.
付学谦, 周亚中, 孙宏斌, 等. 园区农业能源互联网在线安全分析:评述与展望[J]. 中国电机工程学报, 2020,(17):5404-5412. DOI: 10.13334/j.0258-8013.pcsee.200108.
园区农业能源互联网是能源互联网未来的重要发展方向之一
气象是影响园区农业能源互联网安全的重要影响因素之一
如何实现园区农业能源互联网的安全分析是当下亟需解决的问题。因此
该文遵循物质守恒定律、能量守恒定律、信息守恒定律以及能量–物质相互转化的规律
考虑气象因素以及作物生长特性
从系统科学的角度出发研究人工智能技术在农业工程和电力工程交叉学科的应用
探索农业气象和能源气象对园区农业能源互联网带来的安全问题
提出园区农业能源互联网在线安全分析的思路
以期实现粮食安全和能源安全的双赢。
A park-level agricultural energy internet is an important developing direction of the energy internet in the future. Meteorology is one of the important factors that affect the security of a park-level agricultural energy internet. How to realize the security analysis of a park-level agricultural energy internet is an urgent problem to be solved. Therefore
this paper followed the law of conservation of matter
law of conservation of energy
law of conservation of information
and law of energy-matter conversion
considering meteorological factors and crop growth characteristics. Meanwhile
studying the application of artificial intelligence technology in agricultural engineering and electric engineering interdisciplinary from the perspective of system science. Furthermore
in order to achieve a win-win situation for food security and energy security
we explored the safety issues brought by agro-meteorology and energy meteorology to the park-level agricultural energy internet
and proposed ideas for online safety analysis of the park-level agricultural energy internet.
College of Information and Electrical Engineering, China Agricultural University, China,the State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), China,School of Electronic and Information Engineering, Beihang University, China,Department of Electrical Engineering, Tsinghua University, China.Failure probability estimation of the gas supply using a data-driven model in an integrated energy system[J].Applied Energy,2018.
L.L. Benites-Lazaro,L. Giatti,A. Giarolla.Topic modeling method for analyzing social actor discourses on climate change- energy and food security[J].Energy Research & Social Science,2018.
Ilhan Ozturk.The dynamic relationship between agricultural sustainability and food-energy-water poverty in a panel of selected Sub-Saharan African Countries[J].Energy Policy,2017.
Eanna Farrell,Mohamed I. Hassan,Ramato A. Tufa,Arttu Tuomiranta,Ahmet H. Avci,Antonio Politano,Efrem Curcio,Hassan A. Arafat.Reverse electrodialysis powered greenhouse concept for water- and energy-self-sufficient agriculture[J].Applied Energy,2017.
Changsheng Li,Haiyu Wang,Hong Miao,Bin Ye.The economic and social performance of integrated photovoltaic and agricultural greenhouses systems: Case study in China[J].Applied Energy,2017.
Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA,School of Business, Society & Engineering, Mälardalen University, Västerås, SE 72123, Sweden,Universities Space Research Association, Columbia, MD 21044, USA,NASA/Goddard Space Flight Center, Greenbelt, MD 20771, USA,School of Chemical Science & Engineering, KTH Royal Institute of Technology, Stockholm, SE 10044, Sweden,School of Business, Society & Engineering, Mälardalen University, Västerås, SE 72123, Sweden,School of Chemical Science & Engineering, KTH Royal Institute of Technology, Stockholm, SE 10044, Sweden,NASA Ames Research Center Cooperative for Research in Earth Science and Technology (NASA ARC-CREST), Moffett Field, CA 94035, USA,California State University Monterey Bay, Seaside, CA 93955, USA,School of Business, Society & Engineering, Mälardalen University, Västerås, SE 72123, Sweden,School of Chemical Science & Engineering, KTH Royal Institute of Technology, Stockholm, SE 10044, Sweden.The water-food-energy nexus optimization approach to combat agricultural drought: a case study in the United States[J].Applied Energy,2018.
Jiaoliao Chen,Fang Xu,Dapeng Tan,Zheng Shen,Libin Zhang,Qinlin Ai.A Control Method for Agricultural Greenhouses Heating based on Computational Fluid Dynamics and Energy Prediction Model[J].Applied Energy,2014.
B.H.E. Vanthoor,C. Stanghellini,E.J. van Henten,P.H.B. de Visser.A methodology for model-based greenhouse design: Part 1, a greenhouse climate model for a broad range of designs and climates[J].Biosystems Engineering,2011(4).
陈厚合,邵俊岩,姜涛,张儒峰,李雪,李国庆.基于多能流解耦算法的综合能源系统N-1静态安全分析[J].电力系统自动化,2019(17).
李岩,滕云,冷欧阳,王毅,陆娟娟.含多端柔性直流互联的交直流电力系统静态安全分析[J].电力系统自动化,2019(10).
孙治贵,王元胜,张禄,郭旺.北方设施农业气象灾害监测预警智能服务系统设计与实现[J].农业工程学报,2018(23).
韦晓广,高仕斌,臧天磊,黄涛,王涛,李多.社会能源互联网:概念、架构和展望[J].中国电机工程学报,2018(17).
胡海涛,郑政,何正友,魏波,王科,杨孝伟,魏文婧.交通能源互联网体系架构及关键技术[J].中国电机工程学报,2018(01).
张晶,李彬,戴朝波.全球能源互联网标准体系研究[J].电网技术,2017(07).
何仲潇,徐成司,刘育权,华煌圣,董树锋.考虑多能协同的工厂综合需求侧响应模型[J].电力自动化设备,2017(06).
符杨,廖剑波,李振坤,张静炜,唐昕.考虑时序特性的主动配电网静态安全分析[J].电力系统自动化,2016(24).
潘昭光,孙宏斌,郭庆来.面向能源互联网的多能流静态安全分析方法[J].电网技术,2016(06).
黄天恩,孙宏斌,郭庆来,温柏坚,王彬.基于电网运行仿真大数据的知识管理和超前安全预警[J].电网技术,2015(11).
孙秋野,滕菲,张化光,马大中.能源互联网动态协调优化控制体系构建[J].中国电机工程学报,2015(14).
黎贞发,王铁,宫志宏,李宁.基于物联网的日光温室低温灾害监测预警技术及应用[J].农业工程学报,2013(04).
余加喜,郭志忠,白雪峰,刘瑞叶.基于面向时间过程的静态安全分析(英文)[J].电工技术学报,2010(10).
0
浏览量
494
下载量
13
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621