Multi-dimensional constraint wind power plant current collection line automatic planning method

Abstract

The invention discloses a multi-dimensional constraint wind power plant current collection line automatic planning method. The method comprises the steps: 1) intelligent partitioning; 2) optimal planning of cost in the area; 3) the global cost of cross-regional planning of the line being optimal; 4) T-connection path optimization. According to the invention, the problems of large calculation amount and long time of the traditional NP algorithm such as dimensionality disaster, genetic algorithm, RRT fast search algorithm, ant colony algorithm and the like are solved. Large-scale and large-quantity wind power plant current collection line planning problems are broken in a regional and hierarchical manner, so that the problems of high strength, nonlinearity and high time complexity of currentcollection line planning are solved. The planning of the wind power plant can be carried out considerably and gradually, self-optimization is carried out under multi-dimensional constraints, and theinfluence of human factors on a planning result is reduced.

Description

technical field [0001] The invention relates to the technical field of wind farm planning, in particular to an automatic planning method for multi-dimensional constrained wind farm collector lines. Background technique [0002] At present, most domestic and foreign wind farm planning methods are combined with the actual needs of specific projects, and are manually designed by designers based on experience. The planning of collector lines needs to be combined with terrain and road planning to achieve the best cost. However, it is limited by the designer's The level of experience and planning is uneven, and the cost deviation of collector lines is huge. It is difficult to obtain better economics for the electrical scheme of the collector system thus obtained. The experience level of designers plays a decisive role in the quality of planning. For large and complex wind farms, the design cycle is long, and it is often difficult to obtain the optimal collector line topology. ...

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Problems solved by technology

[0005]The purpose of this invention is to solve the difficulty of long manual design time and difficult to optimize the economy under multi-dimensional constraints, and proposes a multi-dimensional constraints wind farm collector line The automatic planning method solves the problems of traditional NP algorithm "curse of dimensionality", genetic algorithm, RRT fast search algorithm, ant colony algorithm, etc. Regions are divided into different levels to solve the problems of high intensity, nonlinearity and high time complexity in the planning of collector lines, so that the planning of wind farms can be carried out in a considerable and gradual manner, and self-optimization is carried out under multi-dimensional constraints. Reduce the impact of human factors on planning results

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