电力需求侧管理2024，Vol.26Issue(4)：107-112,6.DOI:10.3969/j.issn.1009-1831.2024.04.017
环境气候变化对渔业电气设备负荷影响研究
Study on the influence of environmental climate change on the load of fishery electrical equipment
摘要
Abstract
With the continuous improvement of the electrification level of smart fishing grounds,the proportion of environmentally sensi-tive loads in fishing grounds increases.Load forecasting should fully consider the impact of environmental climate change on the operation of fishery electrical equipment.Firstly,the data collected by the fishing ground monitoring platform are analyzed and preprocessed,and the typical scenes are divided according to the climatic characteristics.Secondly,the least square method is used to decompose the meteo-rological load affected by the climate,and the correlation coefficient method is used to analyze the correlation between the load and the me-teorological index.The principal component analysis method is used to transform multiple single meteorological indicators into a few com-prehensive indicators in SPSS.The comprehensive meteorological indicators and meteorological load data are used to train the BP neural network,and the load forecasting model of fishery electrical equipment based on BP neural network in typical scenarios is constructed.Fi-nally,an example is verified based on the operation of fishery electrical equipment and climate index data on the target day.The results show that the model reflects the impact of environmental climate change on the load of fishery electrical equipment,and the error accuracy meets the actual engineering needs.关键词
渔光储/气象负荷/主成分分析法/BP神经网络/负荷预测Key words
fisheries,photovoltaics and energy storage/meteorological load/principal component analysis method/BP neural network/load forecasting分类
信息技术与安全科学引用本文复制引用
林晶怡,王占博,许一川,刘畅,谈诚..环境气候变化对渔业电气设备负荷影响研究[J].电力需求侧管理,2024,26(4):107-112,6.基金项目
国家电网有限公司总部科技项目(5400-202218162A-1-1-ZN) （5400-202218162A-1-1-ZN）
