基于Markov模型的繼電保護(hù)風(fēng)險(xiǎn)評(píng)估體系研究
[Abstract]:With the rapid development of social economy and industry in our country, the power system has the characteristics of high efficiency, new science and technology, large capacity, high voltage, long distance, intelligence and so on. The power consumption scale of the power system is increasing at a high speed. But at the same time, the complexity of power system automation control also brings many unstable factors and risks to its safe and reliable power supply process. Relay protection is the most important link in the whole power supply system, whether it can be normal or not. Stable work is the main basis for ensuring the reliability of electricity. Aiming at the shortcomings of traditional risk assessment and reliability analysis, this paper proposes a 10-state Markov model-based relay protection risk assessment system to evaluate the reliability and risk. The methods of theoretical analysis, system simulation and feedback verification are adopted to carry out in-depth research on the design, installation, debugging, operation and management of relay protection, so as to obtain the first-hand basic data, including the original data, in-depth research on the design, installation, debugging, operation and management of relay protection. Operation condition, maintenance data, management data, etc., and by using big data calculation method based on time series LS-SVM, a model of time varying failure rate of relay protection device based on three parameter Weibull distribution is constructed to calculate the failure rate function of each device. Finally, the risk assessment of the existing relay protection system in Huainan City is carried out, and the results are tested and corrected. In this paper, while analyzing the failure rate of relay protection, the calculation method of failure rate function is given. The calculation of failure rate of relay protection, the assessment of risk and the reliability of relay protection are discussed. The methods to evaluate the system risk and improve the reliability are discussed. According to the experimental results, the potential hidden dangers are discovered in time and the loss is reduced to the maximum extent, so that the management level of the power grid can be improved and the safe and stable operation of the power network can be realized.
【學(xué)位授予單位】:安徽理工大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TM77
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