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Key technologies and applications of agricultural energy Internet for agricultural planting and fisheries industry

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Information Processing in Agriculture 2023年第3期10卷 416-437页

作者： xueqian fu Haosen Niu College of Information and Electrical Engineering China Agricultural UniversityBeijingChina National Innovation Center for Digital Fishery China Agricultural UniversityBeijingChina Key Laboratory of Smart Farming Technologies for Aquatic Animal and Livestock Ministry of Agriculture and Rural AffairsBeijingChina Beijing Engineering and Technology Research Center for Internet of Things in Agriculture BeijingChina

Energy consumption in the agricultural sector is significant,reaching 20%of the total energy consumption in *** Energy Internet,an important extension of Energy Internet in the agricultural field,significantly contributes to agricultural *** technologies of Agricultural Energy Internet are vital factors supporting its *** article systematically reviews the key technologies of Agricultural Energy Internet for two areas:agriculture and *** working mechanisms and power consumption characteristics of some state-of-the-art new-energy agricultural intelligent equipment are *** addition,the principles and profit methods underlying the agro-industrial complementary operation model are ***,against the Agricultural Energy Internet background,the development trends of some state-of-theart new energy agricultural intelligent equipment,agro-industrial complementary,and carbon–neutral technology are proposed in this paper,providing novel perspectives on the promotion of the development of Agricultural Energy Internet and related technological innovation *** unmanned farm is the main form of the future agricultural system,which is powered by the Agricultural Energy Internet based on smart agriculture and a smart *** will become the inevitable trend of modern agriculture to replace oil agriculture with electric *** electricity in farming is mainly generated by renewable *** energy power generation has low carbon emissions and is the future direction for the development of agricultural energy *** addition,the Internet of Things will be further strengthened to realize automation and intelligence of agricultural energy systems。

关键词： Agricultural Energy Internet Agricultural equipment Agricultural planting Fisheries industry Carbon neutrality

Modeling of comprehensive power load of fishery energy internet considering fishery meteorology

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Information Processing in Agriculture 2023年第4期10卷 581-591页

作者： xueqian fu Tong Gou College of Information and Electrical Engineering China Agricultural UniversityBeijingChina National Innovation Center for Digital Fishery China Agricultural UniversityBeijingChina Key Laboratory of Smart Farming Technologies for Aquatic Animal and Livestock Ministry of Agriculture and Rural AffairsBeijingChina Beijing Engineering and Technology Research Center for Internet of Things in Agriculture BeijingChina

Accurate calculation for comprehensive power load of fishery energy internet plays a significant role in reasonable using of energy and reducing environmental ***,as fishery power load is of greatly unique meteorology sensitivity,it continues to be a difficult ***,the research of fishery meteorology is an important part of the rational development of fishery resources,the protection of production safety,and the pursuit of high and stable *** paper makes a deep study on the power load of the fishery energy internet under the influence of fishery meteorology and takes onshore fish pond as the research *** of all,the power load is divided into three parts:oxygen enrichment power load,feeding power load,and water replenishment and drainage power *** impact mechanism of fishery meteorology(including temperature,surface wind speed,precipitation,relative humidity,etc.)on it is described,and then the overall power load is obtained through modeling and ***,taking the Yuguang Complementary Project in Zhouquan Town,Tongxiang,Zhejiang Province,China as an example,using the meteorological data of its typical spring day and using the MATLAB tool to solve,the hourly comparison of the three types of power loads,the comprehensive power load demand,the full-day electricity charge forecast and the total annual power consumption are *** annual power consumption per hectare and per kilogram of output calculated by simulation are basically consistent with the order of magnitude of the survey data,which proves the validity of the model *** model established in this paper is an original work,and the exploration of fishery energy internet can draw lessons from it.

关键词： Comprehensive power load Fishery energy internet Meteorology sensitivity Onshore fish pond Modeling and integration

Security Analysis of a Park-level Agricultural Energy Network Considering Agrometeorology and Energy Meteorology

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CSEE Journal of Power and Energy Systems 2020年第3期6卷 743-748页

作者： xueqian fu Dechang Yang Qinglai Guo Hongbin Sun College of Information and Electrical Engineering China Agricultural UniversityChina State Key Laboratory of Power Systems Department of Electrical EngineeringTsinghua UniversityChina

China’s industrial manufacturing industry is well developed,but its agriculture is *** only way to solve this problem is to improve through modern *** cross integration of new energy development and modern agriculture is becoming more and more ***,the research on the interaction between the meteorological disaster of facility agriculture and the power supply security of the integrated energy supply system has not formed a systematic theoretical system,which challenges the collaborative security of the facility agriculture and energy *** this paper,energy meteorology and agrometeorology are considered and modeled,and the static security of a park-level agricultural energy network is simulated and analyzed under different weather conditions.

关键词： Agrometeorology energy network energy meteorology security analysis

Planning of distributed renewable energy systems under uncertainty based on statistical machine learning

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Protection and Control of Modern Power Systems 2022年第1期7卷 619-645页

作者： xueqian fu Xianping Wu Chunyu Zhang Shaoqian Fan Nian Liu College of Information and Electrical Engineering China Agricultural University100083 BeijingChina Beijing Engineering and Technology Research Center for Internet of Things in Agriculture BeijingPeople’s Republic of China State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources North China Electric Power University102206 BeijingChina

The development of distributed renewable energy,such as photovoltaic power and wind power generation,makes the energy system cleaner,and is of great significance in reducing carbon ***,weather can affect distributed renewable energy power generation,and the uncertainty of output brings challenges to uncertainty planning for distributed renewable *** systems with high penetration of distributed renewable energy involve the high-dimensional,nonlinear dynamics of large-scale complex systems,and the optimal solution of the uncertainty model is a difficult *** the perspective of statistical machine learning,the theory of planning of distributed renewable energy systems under uncertainty is reviewed and some key technologies are put forward for applying advanced artificial intelligence to distributed renewable power uncertainty planning.

关键词： Distributed renewable energy systems Statistical machine learning Uncertainty planning Renewable energy network

Simulation and forecasting of fishery weather based on statistical machine learning

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Information Processing in Agriculture 2024年第1期11卷 127-142页

作者： xueqian fu Chunyu Zhang fuhao Chang Lingling Han Xiaolong Zhao Zhengjie Wang Qiaoyu Ma National Innovation Center for Digital Fishery China Agricultural UniversityBeijingChina Key Laboratory of Smart Farming Technologies for Aquatic Animal and Livestock Ministry of Agriculture and Rural AffairsBeijingChina Beijing Engineering and Technology Research Center for Internet of Things in Agriculture BeijingChina College of Information and Electrical Engineering China Agricultural UniversityBeijingChina

As the new generation of artificial intelligence(AI)continues to evolve,weather big data and statistical machine learning(SML)technologies complement each other and are deeply integrated to significantly improve the processing and forecasting accuracy of fishery *** fishery weather services play a crucial role in fishery production,serving as a great safeguard for economic benefits and personal safety,enabling fishermen to carry out fishery production better,and contributing to the sustainable development of the fishery *** objective of this paper is to offer an understanding of the present state of research and development in SML technology for simulating and forecasting fishery ***,we analyze the current state of research and technical features of SML in weather and summarize the applications of SML in simulation and forecasting of fishery weather,which mainly include three aspects:fishery weather scenario generation,fishery weather forecasting,and fishery extreme weather *** also illustrate the main technical means and principles of SML ***,we summarize the most advanced SML fields and provide an outlook on their application value in the field of fishery weather.

关键词： Fishery weather Statistical machine learning Weather generation Weather forecasting Extreme weather warning

Crop pest image recognition based on the improved ViT method Author links open overlay panel

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Information Processing in Agriculture 2024年第2期11卷 249-259页

作者： xueqian fu Qiaoyu Ma Feifei Yang Chunyu Zhang Xiaolong Zhao fuhao Chang Lingling Han College of Information and Electrical Engineering China Agricultural UniversityBeijingChina National Innovation Center for Digital Fishery China Agricultural UniversityBeijingChina Key Laboratory of Smart Farming Technologies for Aquatic Animal and Livestock Ministry of Agriculture and Rural AffairsBeijingChina Beijing Engineering and Technology Research Center for Internet of Things in Agriculture BeijingChina

The crop pests and diseases in agriculture is one of the most important reason for the reduction of bulk grain and oil crops and the decline of fruit and vegetable crop quality,which threaten macroeconomic stability and sustainable ***,the recognition method based on manual and instruments has been unable to meet the needs of scientific research and production due to its strong subjectivity and low *** recognition method based on pattern recognition and deep learning can automatically fit image features,and use features to classify and predict *** study introduced the improved Vision Transformer(ViT)method for crop pest image *** them,the region with the most obvious features can be effectively selected by block *** self-attention mechanism of the transformer can better excavate the special solution that is not an obvious lesion *** the experiment,data with 7 classes of examples are used for *** can be illustrated from results that this method has high accuracy and can give full play to the advantages of image processing and recognition technology,accurately judge the crop diseases and pests category,provide method reference for agricultural diseases and pests identification research,and further optimize the crop diseases and pests control work for agricultural workers in need.

关键词： Crop diseases recognition Fruit tree leaf disease Vision Transformer Deep learning Computer Vision

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平均电流损耗时间法在配网线损计算中的应用

电工技术学报 2015年第12期30卷 377-382页

作者：付学谦陈皓勇华南理工大学电力学院广州510640

配电网电能损失率是供电企业非常重要的技术经济综合性指标。本文采用平均电流损耗时间法对配电网的线损进行计算,并对最大负荷损耗时间法、损失因数法、方均根电流法和平均电流法的数学推导公式进行了物理概念的介绍。平均电流损耗时... 详细信息

配电网电能损失率是供电企业非常重要的技术经济综合性指标。本文采用平均电流损耗时间法对配电网的线损进行计算,并对最大负荷损耗时间法、损失因数法、方均根电流法和平均电流法的数学推导公式进行了物理概念的介绍。平均电流损耗时间法算法简单,易于实现,去除和弱化了假定条件,有利于提高线损计算精度。

关键词：负荷率理论线损损失因数功率因数

可再生能源为主体的农业能源互联网碳循环建模与优化

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电力建设 2022年第10期43卷 1-15页

作者：牛浩森付学谦中国农业大学信息与电气工程学院北京市100083

“双碳”目标对能源领域和农业领域的节能减排提出了更高要求。农业能源互联网作为能源与农业深度耦合的产物,是实现碳中和的重要手段。提出一种面向农业能源互联网碳循环的核算方法以及计及农业柔性负荷及碳交易的农业能源互联网优化... 详细信息

“双碳”目标对能源领域和农业领域的节能减排提出了更高要求。农业能源互联网作为能源与农业深度耦合的产物,是实现碳中和的重要手段。提出一种面向农业能源互联网碳循环的核算方法以及计及农业柔性负荷及碳交易的农业能源互联网优化运行策略。首先,构建了农业园区内光伏、热电联产等碳排放核算模型。其次,以园区日运行成本最低为目标函数,考虑等式及不等式约束,构建优化调度模型。最后,以某园区农业能源互联网为研究对象对优化模型进行仿真,详细核算园区内碳排放情况,并通过与其他农业园区对比验证碳模型的正确性。结果表明,该优化调度策略可有效降低农业园区碳排放,实现碳中和。

关键词：农业能源互联网碳排放运行优化调度农业碳中和

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基于理想解法的电能质量综合评估

电力自动化设备 2014年第4期34卷 26-30页

作者：付学谦陈皓勇华南理工大学电力学院广东广州510640

为避免主观性和评估结果相同的情况,采用基于熵权的理想解法对分布式发电系统进行电能质量综合评估。理想解法通过对象贴近理想解的程度对评估对象进行排序,贴近理想解的程度通过计算对象与正理想解和负理想解之间的欧氏距离得到。该方... 详细信息

为避免主观性和评估结果相同的情况,采用基于熵权的理想解法对分布式发电系统进行电能质量综合评估。理想解法通过对象贴近理想解的程度对评估对象进行排序,贴近理想解的程度通过计算对象与正理想解和负理想解之间的欧氏距离得到。该方法赋予权重时具有客观性,可按综合评估指数从大到小排列评估点优劣次序。对某大型风电场数据的分析结果表明,与突变决策方法相比,基于理想解法的电能质量综合评估结果更加合理、精确。

关键词：电能质量理想解法综合评估熵权分布式发电