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

作     者:Xueqian Fu Tong Gou 

作者机构:College of Information and Electrical EngineeringChina Agricultural UniversityBeijingChina National Innovation Center for Digital FisheryChina Agricultural UniversityBeijingChina Key Laboratory of Smart Farming Technologies for Aquatic Animal and LivestockMinistry of Agriculture and Rural AffairsBeijingChina Beijing Engineering and Technology Research Center for Internet of Things in AgricultureBeijingChina 

出 版 物:《Information Processing in Agriculture》 (农业信息处理(英文))

年 卷 期:2023年第10卷第4期

页      面:581-591页

核心收录:

学科分类:0906[农学-兽医学] 09[农学] 

基  金:supported by the National Natural Science Foundation of China under Grant 52007193 and The 2115 Talent Development Program of China Agricultural University 

主  题:Comprehensive power load Fishery energy internet Meteorology sensitivity Onshore fish pond Modeling and integration 

摘      要: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.

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