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基于多元线性回归及BP神经算法的电网事故事件原因追溯方法研究

Research on Traceability Method of Power Grid Accidents Based onMultiple Linear Regression and BP Neural Algorithm
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摘要 本文通过运用多元线性回归及BP神经算法,对事故规律进行研究,对事故事件产生的原因进行追踪回溯,为定位问题原因提供辅助,为安全事故定性定级做数据支撑,为安全事故后续处置方案提供参考依据,防止和减少电力事故的发生,不断提高电力安全监督和管理水平。 Grid power loss(referred to as“line loss”)refers to the loss and loss of electrical energy in the transmission,transformation,distribution and marketing.The line loss at the same time refers to the amount of power lost under the same statistical period of power supply and power sales.In order to promote the healthy development of power companies,we gradually began to pay attention to the issue of synchronous line loss management,and mainly carried out the loss reduction of line synchronous line loss from the aspects of technology and management.In this paper,the author mainly accumulates based on work experience,and analyzes the technical and management measures of line loss and line loss.
作者 任锦标 Ren Jin-biao
出处 《电力系统装备》 2019年第23期138-139,共2页 Electric Power System Equipment
关键词 事故事件 多元线性回归算法 BP神经算法 accidents multiple linear regression algorithm BP neural algorithm
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