Multi-target genetic algorithm based medium-frequency amorphous alloy transformer optimization method

Abstract

The invention discloses a multi-target genetic algorithm based medium-frequency amorphous alloy transformer optimization method. The method comprises the following steps that 1, optimization variables are selected from parameters of a medium-frequency amorphous alloy transformer to establish a target function optimized by the transformer, and the ranges of iteration times and optimization variables are defined to produce an initial population; 2, the initial population is segmented into a plurality of sub-populations, sub-target functions are distributed for the sub-populations, a fitness function is established, and a fitness value is calculated; parallel selecting operation is performed in each sub-population, and individuals in the sub-populations having higher fitness are selected out to form new sub-populations; 3, the new sub-populations are merged into a complete new sub-population, and nest generation of new complete population is generated through recombination and variated operation; 4, constant iteration is performed, and the steps 2 and 3 are repeatedly and sequentially performed to calculate an optimal solution of the optimization variables. The maximum efficiency and minimum loss of the transformer can be ensured, the transformer can operate more stably, and the service life is longer.

Description

technical field [0001] The invention relates to a method for optimizing a transformer, in particular to a method for optimizing an intermediate frequency amorphous alloy transformer based on a multi-objective genetic algorithm, and belongs to the technical field of optimizing a direct current distribution network system. Background technique [0002] With the rapid growth of cities and the rapid development of information technology, there are more and more sensitive loads, important loads and non-linear loads in the power grid. The AC distribution network will face a series of power quality problems such as large line losses and tight power supply corridors. The distribution network based on DC has better performance than AC in terms of transmission capacity, controllability and power supply quality improvement, which can effectively improve power quality, reduce the use of power electronic converters, reduce power loss and operating costs, Coordinate the contradiction betw...

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Problems solved by technology

For the design of transformers, the operating frequency and power capacity are predetermined in most cases, and the selection of the magnetic core flux density and winding current density involved in the transformer has a direct impact on the efficiency and loss of the transformer; in DC distribution In the electric energy conversion link, there are problems such as the transformer is easy to saturate the magnetic flux and the DC bias

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