An optimization method and system for arrangement and selection of wind turbines

Abstract

The invention particularly relates to a wind driven generator arrangement and selection optimization method and system. The method comprises the following steps that at least one blower arrangement scheme is acquired, and each blower arrangement scheme acts as one chromosome of a genetic algorithm; an optimal blower selection scheme corresponding to each chromosome and adaptation corresponding to the optimal blower selection scheme are generated according to a cluster particle swarm algorithm, and the adaptation acts as the adaptation of the chromosome; and the first global optimal adaptation of the genetic algorithm is calculated according to the adaptation of all the chromosomes and the target chromosome corresponding to the first global optimal adaptation is acquired, then the blower arrangement scheme corresponding to the target chromosome is outputted to act as the target arrangement scheme, and the optimal blower selection scheme corresponding to the target chromosome is outputted to act as the target selection scheme. The globality of the selection algorithm is fully considered, and the situation that selection optimization falls into the local optimum can be effectively avoided so that the globality is better, the performance index is better, the selection scheme is more accurate and the practicality is higher.

Description

technical field [0001] The invention relates to the field of micro-site selection of wind power generators, in particular to an optimization method and system for arrangement and type selection of wind power generators. Background technique [0002] Wind energy is a non-polluting, renewable new energy. In a modern society where energy is scarce and traditional energy pollutes the environment seriously, the wind power industry has become one of the vigorously developed new energy industries. The micro-site selection of wind farms is a necessary step for the rational planning of the wind power industry. The micro-site selection of wind farms before the construction of wind farms can effectively improve the utilization efficiency of wind energy, increase the service life of wind turbines, reduce the operation and maintenance costs of wind farms and wind power generation costs, so as to achieve reasonable decision-making and scientific development of the wind power industry. Wi...

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Problems solved by technology

[0004] Among the documents and patents related to this application, the document Castro Mora, J, etc. published the paper "An evolutive algorithm for wind farm optimal design" in Neurocomputing in 2007, and proposed the problem of multi-model fan arrangement optimization and gave A solution, but the optimization does not take into account the wake effect between fans

The patent "An Optimal Arrangement Scheme for Multi-model Wind Turbine Based on Genetic Algorithm" (Application Publication No.: CN103793566 A) proposes the use of genetic algorithm to solve the problem of multi-model wind turbine arrangement, but the selection and optimization of the wind turbine models used The algorithm does not consider the globality of the optimization algorithm, which is relatively rough and not accurate enough

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