电网用阀控式铅酸蓄电池寿命预测研究与实现

发布时间：2018-05-19 15:43

本文选题：阀控式铅酸蓄电池 + 寿命预测　；参考：《湖南大学》2015年硕士论文

【摘要】：电网变电站自动化、智能化和值守无人化是电网发展的主要趋势。由于变电站自动化、智能化的程度越来越高以及值守无人化的推广,变电站直流电源承担的角色越来越重要。阀控式铅酸蓄电池组是变电站中直流电源系统的核心,其性能质量关乎整个变电站的安全稳定运行。随着阀控式铅酸蓄电池在变电站直流系统中的应用日益广泛,由其寿命引发的一系列问题开始显露出来,如由于蓄电池提前失效而造成整个后备直流电源在变电站出现故障时不能给继电保护装置及断路器跳合闸机构供电,引起全站失压事故。因此铅酸阀控式铅酸蓄电池的寿命研究越来越具有重大意义。本文从阀控式铅酸蓄电池的工作原理入手,说明了阀控式铅酸蓄电池寿命研究的重要性和必要性;其次介绍了阀控式铅酸蓄电池的主要技术参数,着重研究了阀控式铅酸蓄电池的检测方法;然后详细讨论了影响阀控式铅酸蓄电池寿命的因素,包括阀控式铅酸蓄电池的失效机制、浮充电压、环境温度、正极板腐蚀、失水和热失控对阀控式铅酸蓄电池寿命的影响,并分析了阀控式铅酸蓄电池的寿命退化过程,得出了阀控式铅酸蓄电池的寿命退化就是实际容量的退化,而外在表征就是端电压的下降和内阻的增加;通过对阀控式铅酸蓄电池寿命预测的问题分析和几种预测方法的比较,本文采用神经网络的预测方法来预测阀控式铅酸蓄电池的寿命。随后,在比较BP神经网络和小波神经网络在阀控式铅酸蓄电池寿命预测上的基础上,建立了基于小波神经网络的阀控式铅酸蓄电池的寿命预测模型,并通过MATLAB建模和仿真,验证了模型的有效性和准确性,最后,设计了电网用阀控式铅酸蓄电池寿命预测系统。
[Abstract]:Substation automation, intelligence and unmannedness are the main trend of power grid development. Because of substation automation, the degree of intelligence and the promotion of unattended substation DC power supply is becoming more and more important. Valve-controlled lead-acid battery is the core of DC power supply system in substation, and its performance quality is related to the safe and stable operation of the whole substation. With the increasing application of valve-controlled lead-acid batteries in substation DC system, a series of problems caused by their life began to appear. If the whole backup DC power supply cannot supply power to the relay protection device and the breaker tripping and closing mechanism when the substation fails due to the earlier failure of the battery, it will cause the whole station voltage loss accident. Therefore, it is more and more important to study the life of lead-acid valve-controlled lead-acid battery. Starting with the working principle of valve-controlled lead-acid battery, this paper explains the importance and necessity of life research of valve-controlled lead-acid battery, and then introduces the main technical parameters of valve-controlled lead-acid battery. The detection method of valve-controlled lead-acid battery is studied emphatically, and the factors influencing the life of valve-controlled lead-acid battery are discussed in detail, including the failure mechanism of valve-controlled lead-acid battery, floating charge pressure, ambient temperature, positive plate corrosion, etc. The influence of loss of water and heat loss on the life of valve-controlled lead-acid battery is analyzed. It is concluded that the life degradation of valve-controlled lead-acid battery is the degradation of actual capacity. The external characterization is the decrease of the terminal voltage and the increase of the internal resistance, through the analysis of the problem of life prediction of the valve-controlled lead-acid battery and the comparison of several forecasting methods, In this paper, the prediction method of neural network is used to predict the life of valve-controlled lead-acid battery. Then, on the basis of comparing BP neural network and wavelet neural network in life prediction of valve-controlled lead-acid battery, the life prediction model of valve-controlled lead-acid battery based on wavelet neural network is established, and the model is modeled and simulated by MATLAB. The validity and accuracy of the model are verified. Finally, the life prediction system of valve-controlled lead-acid battery for power grid is designed.
【学位授予单位】：湖南大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TM912.1

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