Security analysis of agricultural energy internet considering electricity load control for dragon fruit cultivation

IF 7.7 Q1 AGRICULTURE, MULTIDISCIPLINARY

Information Processing in Agriculture Pub Date : 2025-03-01 DOI:10.1016/j.inpa.2024.02.002

Xueqian Fu , Lingxi Ma , Huaichang Ge , Jiahui Zhang

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引用次数: 0

Abstract

With the increasing emphasis on sustainable energy and the advancements in modern agriculture, flexible agricultural power loads present challenges to the reliable operation of the agricultural energy internet. However, research on the coupling of energy system security with agricultural security is insufficient and fails to consider the impacts of meteorological elements on agricultural power loads. To address these gaps, this paper establishes load models for irrigation and light supplementation based on the actual cultivation demands of winter dragon fruit in Guangxi province. A static security index system is developed to analyze the security, considering the unique features of agricultural power demands. The condition of the distribution network is assessed by comparing the indexes with predefined limits, using a China 41-bus distribution network. Finally, the optimal scheme for nocturnal supplemental lighting treatment and irrigation is determined based on the method for maintaining secure operation of the distribution network. This study serves as a guide for simulating current farming power loads and demonstrates how security analysis of the agricultural energy internet contributes to the large-scale and sophisticated development of modern agriculture.

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考虑火龙果种植用电负荷控制的农业能源互联网安全分析

随着人们对可持续能源的日益重视和现代农业的发展，灵活的农业电力负荷对农业能源网络的可靠运行提出了挑战。然而，对能源系统安全与农业安全耦合的研究较少，且未考虑气象要素对农业电力负荷的影响。针对这些不足，本文根据广西冬季火龙果的实际栽培需求，建立了灌溉补光负荷模型。针对农用电力需求的特点，建立了静态安全指标体系来分析农用电力的安全性。以中国某41母线配电网为例，通过将指标与预定义限值进行比较，对配电网状况进行了评价。最后，在保证配电网安全运行的基础上，确定了夜间补光处理和灌溉的最佳方案。本研究为当前农业电力负荷的模拟提供了指导，并论证了农业能源互联网的安全分析如何促进现代农业的规模化、精细化发展。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Information Processing in Agriculture Agricultural and Biological Sciences-Animal Science and Zoology

CiteScore

21.10

自引率

0.00%

发文量

期刊介绍： Information Processing in Agriculture (IPA) was established in 2013 and it encourages the development towards a science and technology of information processing in agriculture, through the following aims: • Promote the use of knowledge and methods from the information processing technologies in the agriculture; • Illustrate the experiences and publications of the institutes, universities and government, and also the profitable technologies on agriculture; • Provide opportunities and platform for exchanging knowledge, strategies and experiences among the researchers in information processing worldwide; • Promote and encourage interactions among agriculture Scientists, Meteorologists, Biologists (Pathologists/Entomologists) with IT Professionals and other stakeholders to develop and implement methods, techniques, tools, and issues related to information processing technology in agriculture; • Create and promote expert groups for development of agro-meteorological databases, crop and livestock modelling and applications for development of crop performance based decision support system. Topics of interest include, but are not limited to: • Smart Sensor and Wireless Sensor Network • Remote Sensing • Simulation, Optimization, Modeling and Automatic Control • Decision Support Systems, Intelligent Systems and Artificial Intelligence • Computer Vision and Image Processing • Inspection and Traceability for Food Quality • Precision Agriculture and Intelligent Instrument • The Internet of Things and Cloud Computing • Big Data and Data Mining