Optimal Design of Power Transformers with the Help of a New Innovative Algorithm to Minimize the Cost and Electromagnetic Forces Applied to the Coil

Transformer design is an issue it is a non-linear and complex combination. Accuracy in the answers obtained and the speed of reaching the answers are the two basic criteria in the process of transformer design. The various optimization methods presented so far have had problems such as ignoring some design limitations, reaching a minimum local response, not considering all the variables involved in optimization, or being unable to search the entire space due to their random nature. The surest way to reach the absolute optimal point is to use search algorithms He is all space. But the requirement for all-space search methods to reach the absolute optimal point is that the search space is discrete and limited, and therefore a smart user is needed. Since the problem of optimizing the power transformer has a large number of independent variables and extensive search space, the full space search method will face the problem of lack of computer memory and low program execution speed. In this article, to eliminate this weakness and reach the absolute optimal point, by modifying the Power transformer design process and presenting a new innovative algorithm called pruned tree algorithm to solve the problem of optimal economic design of power transformers and reduce electromagnetic forces, to the optimal point we move absolutely. JMAG‐Designer and Ansys Maxwell software is used for the finite element analysis  in this research.