The transformers used in certain stages of electricity production and distribution are the most important element due to their high costs and long service life. The most important parameter that reduces the useful life of the transformers is the high-temperature level which causes the fastening of the insulation material. The complexity of the temperature analysis in the power transformer windings makes it necessary to use an optimal resolution algorithm. It has been preferred to develop an artificial bee algorithm to solve complex temperature optimization problems in power transformer windings realistically and quickly. In this paper, the power transformer detection panel has been developed. The data required for the algorithm have been obtained by performing experiments in different power transformers. A microcontroller-based data acquisition circuit has been created to monitor the operating conditions of the power transformers. Variables such as the temperature of the environment and the temperature of the transformer have been transferred to the computer by sampling. The analysis of winding temperatures of power transformers has been determined by using the developed Artificial Bee Algorithm and computer program. The generated algorithm has been coded using the C # programming language. The temperature analysis of the power transformer windings has been created using the Microsoft SQL Server 2017 database. The data obtained from experimental studies have been compared with the data obtained from the developed algorithm and computer program. Using the computer program based on this algorithm, the loss, and temperature data of the transformer have been accurately estimated according to the variable states of the load and its harmonic content. INDEX TERMS Animal behavior, bee algorithm, power transformers, temperature analysis, transformers. II. THE IMPROVED ARTIFICIAL BEE ALGORITHM Bee colonies around the hive with the swing movement share information with each other. Self-organization of individuals

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Voltage regulation needs to be optimised to reduce energy losses and improve power quality in renewable solar/wind plants. The Artificial Bee/Ant Hybrid Heuristic Algorithm is developed in this study, and voltage regulation is optimised using this developed algorithm. A computer program in the C++ programming language is developed to prevent the undesired effects of electrical events occurring during the integration of renewable energy sources and to make the system work more efficiently. The interface of the program is made using the Visual Studio program. It becomes possible to produce power estimation, power quality estimation and power loss estimation by using the intuitive artificial bee/ant hybrid algorithm created on the data set obtained from solar and wind power plants. It is determined that there is a ± 4% difference between the values obtained with the developed algorithm and the computer program and the values obtained from the power plants. It is understood that the developed algorithm and the computer program created successfully optimise power quality in solar/wind power stations. This study makes it possible to estimate the amount of energy produced, the amount of energy loss, and the quality of energy in solar/wind power stations.

Power transformers are one of the most important and expensive components of power transmission lines. Reducing costs in the manufacture of power transformers has always been the subject of science. In this study, an ant/firefly hybrid heuristic algorithm has been developed to optimize the materials used in power transformer tanks and therefore to reduce tank costs. Based on this algorithm, an interface program has been created in Visual Studio Program. Using this power transformer tank design computer program, the materials used in the tanks have been optimized. As a result of the optimization, the materials used in the transformer tank, which is designed as a result, are saved between 5% and 15%. By this study, it has become possible to reduce the manufacturing costs of power transformers.