Counterattack lightning protection measure selection and parameter optimization method based on hyper-chaos optimization algorithm

Abstract

The invention discloses a counterattack lightning protection measure selection and parameter optimization method based on a hyper-chaos optimization algorithm, and the method comprises the steps: building a lightning protection measure selection model through an information weight method, calculating the weight of each influence factor, carrying out the screening of four factors which have the greatest influence on the lightning counterattack trip-out rate, and carrying out the optimization of the parameters. The actual application range of the selected influence factors is determined according to the environmental factors, the hyper-chaos optimization algorithm is adopted for parameter combination optimization, the calculation amount is reduced, the working efficiency is improved, the intrinsic randomness of hyper-chaos can ensure that parameter combination obtains a globally optimal solution, and the method is suitable for large-scale popularization and application. And selecting the optimal parameter corresponding to the lowest lightning trip-out rate to carry out lightning protection transformation on the power transmission line, thereby realizing effective lightning protection on the power transmission line.

Description

Technical field [0001] The present invention relates to the field of lightning protection technology, which specifically relates to a counterming lightning measures based on supercharotic optimization algorithm and parameter optimization methods. Background technique [0002] With the accelerated development of industrial and agricultural production, the demand for electricity is increasing. The transmission line is responsible for the heavy responsibility of power delivery to the load center, which has a crucial effect on the safety, stability, and reliable operation of the power system. However, due to the empty and top of the transmission line, it is easy to subjected to lightning strikes, and even threat the power grid. In my country, the transmission line trip to the transmission line of the lightning strike accounts for more than 40% of the total number of transportation lines, and it is increasing year by year. Therefore, only the effects of various influencing factors on ...

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Problems solved by technology

[0003] In practice, different environmental factors will affect the protective effect of lightning protection measures, but many areas still choose lightning protection measures without distinction to protect transmission lines from lightning, and the lightning protection effect has not achieved the expected effect

Moreover, in the parameter selection analysis of lightning protection measures, only the change of lightning trip rate when a single influencing factor parameter changes is often considered. In fact, there are many influencing factors affecting the lightning back tripping rate of transmission lines, and each influencing factor has a great impact on lightning back tripping. Therefore, it is necessary to comprehensively consider various influencing factors and select a combination of parameters in order to obtain the optimal configuration scheme of lightning protection measures.

[0004] At present, the algorithms selected for lightning protection measures mainly include simulated annealing, gray correlation degree analysis, BP neural network, etc. These algorithms are easy to fall into local optimal solutions, and cannot guarantee the optimal lightning protection effect

If a variety of influencing factors are directly considered for modeling analysis and finding the optimal parameter combination, it will undoubtedly increase the difficulty of system modeling, and the efficiency is very low. The largest factors, and then build a model to find the global optimal solution

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