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Micro-grid configuration method and device based on genetic algorithm, apparatus and medium

A configuration method and genetic algorithm technology, applied in the direction of circuit devices, genetic rules, calculations, etc., can solve the problems of slow convergence speed, poor search ability and accuracy rate, etc.

Inactive Publication Date: 2019-11-22
上海国孚电力设计工程股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, in the current technology of using genetic algorithm to optimize the configuration of microgrid, there are shortcomings such as slow convergence speed, poor search ability and accuracy.

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  • Micro-grid configuration method and device based on genetic algorithm, apparatus and medium
  • Micro-grid configuration method and device based on genetic algorithm, apparatus and medium
  • Micro-grid configuration method and device based on genetic algorithm, apparatus and medium

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Embodiment Construction

[0074] In the following description, many technical details are proposed in order to enable readers to better understand the application. However, those skilled in the art can understand that without these technical details and various changes and modifications based on the following implementation modes, the technical solution claimed in each claim of the present application can be realized.

[0075] In order to make the purpose, technical solution and advantages of the present invention clearer, the following will further describe the implementation of the present invention in detail in conjunction with the accompanying drawings.

[0076] The first embodiment of the present invention relates to a method for configuring a microgrid based on a genetic algorithm. figure 1 is a flow diagram of the genetic algorithm-based microgrid configuration method.

[0077] Specifically, such as figure 1 As shown, the method includes the following steps:

[0078] In step 101, a first-gene...

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Abstract

The invention relates to the field of micro-grids, and discloses a micro-grid configuration method and device based on a genetic algorithm, an apparatus and a medium. The microgrid configuration method based on the genetic algorithm comprises the following steps of generating a first generation population containing a plurality of individuals; calculating the fitness of each individual in the first-generation population, and selecting the individuals with the fitness higher than a preset threshold value to form a first-generation elite library of the first-generation population; performing crossover and mutation processing on the first-generation individuals in the elite removal library to form a next-generation population; calculating the fitness of each individual in the current population, comparing with the individuals in the contemporary elite library, and replacing the individuals in the contemporary elite library to form a new generation of elite library; and obtaining the individual with the highest fitness in the final elite library after the predetermined ending condition is met. According to the present invention, the number of calculation iterations for solving the optimal configuration of the microgrid can be effectively reduced, and the calculation efficiency and the accuracy are improved.

Description

technical field [0001] The invention relates to the field of microgrids, in particular to a genetic algorithm-based microgrid configuration method, device, equipment and media thereof. Background technique [0002] In some remote mountainous areas, mines and other areas that cannot be covered by large power grids, diesel generators were basically used for power supply in the past, which caused primary energy consumption and environmental pollution on the one hand, and poor economic efficiency on the other hand. In view of this situation, combined with the local actual situation, it is very meaningful to build a micro-grid including new energy and energy storage systems as the main power supply, and a diesel generator as a backup power supply. [0003] The configuration optimization problem of each distributed energy source in a microgrid is a multi-variable, nonlinear multi-objective programming problem. The genetic algorithm is a random parallel search optimization method b...

Claims

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Application Information

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IPC IPC(8): H02J3/38G06Q10/04G06Q50/06G06N3/12
CPCG06N3/126G06Q10/04G06Q50/06H02J3/381
Inventor 翟运娟李磊李大鹏
Owner 上海国孚电力设计工程股份有限公司