基于启发式优化方法的电力变压器故障和效率定义算法和计算机程序

M. Zile
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引用次数: 0

摘要

现实生活中的优化问题太复杂了,不能用数学公式来解决。启发式方法是指在解决问题的各种解决方案行动中确定最佳解决方案的方法。此外,启发式方法求解时间短,可以应用于不同的问题,这是可取的。在试图找到最佳解决方案时,开发了启发式方法。该算法以蜂群智能为基础,根据蜜蜂在自然界中寻找营养物质的行为来解决优化问题。通过研究,我们无需任何测量和测试就可以知道变压器的故障。利用所建立的人工算法,用c++编程语言进行软件开发。使用Microsoft SQL Server 2017数据库创建了变压器分析程序。
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Definition of Faults and Efficiency in Power Transformers Using the Algorithm and Computer Program Created by the Heuristic Optimization Methods Developed
The real-life optimization problems are too complex to be solved by developing a mathematical formula. Heuristic methods are the methods defined to decide the best of a variety of solution actions to solve a problem. Furthermore, it is preferred that heuristic methods are short in solution time and can be applied to different problems. Heuristic methods were developed while trying to find the best solution. The created algorithm, which was based on herd intelligence, was used to solve optimization problems based on the behaviors of bees moving in nature in the process of finding nutrients. By the studies, transformer failures allow us to know without any measurements and tests. The software was developed in C++ programming language by using the created artificial algorithms. The transformer analyses programs have been created by using Microsoft SQL Server 2017 database.
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