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Reliability optimization allocation method based on improved Pareto artificial bee colony algorithm

An artificial bee colony algorithm, a technology for optimal allocation, applied in constraint-based CAD, design optimization/simulation, calculation, etc.

Active Publication Date: 2020-05-12
华能如东八仙角海上风力发电有限责任公司 +1
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Problems solved by technology

[0006] In order to solve the problems in the prior art, the invention discloses a reliability optimization allocation method based on the improved Pareto (Pareto) artificial bee colony algorithm, which effectively solves the subjectivity and accuracy based on fuzzy allocation in the reliability allocation. In addition, it also considers the maintenance cost of offshore wind turbines, effectively improving the accuracy and objectivity of reliability allocation of offshore wind turbines.

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  • Reliability optimization allocation method based on improved Pareto artificial bee colony algorithm

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Embodiment Construction

[0111] The present invention will be further explained below in conjunction with specific embodiments and accompanying drawings.

[0112] see figure 1 , a kind of reliability optimization distribution method based on improved Pareto artificial bee colony algorithm of the present invention, specifically comprises the following steps:

[0113] 1) To determine the reliability distribution object and grade, the present invention takes a certain type of offshore wind turbine as the research object to carry out an example analysis;

[0114] 2) Collect the cost and reliability data of each subsystem of this type of offshore wind turbine, and establish the functional relationship between subsystem cost and reliability:

[0115]

[0116]

[0117] 3) Sorting and analyzing the factors affecting the reliability allocation of offshore wind turbines, scoring each influencing factor by means of expert scoring, and obtaining the comprehensive influencing factor matrix of reliability al...

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Abstract

The invention discloses a reliability optimization allocation method based on an improved Pareto artificial bee colony algorithm. The method comprises the following steps of: constructing a development cost-reliability function model, a maintenance cost-reliability function model and a total cost-reliability function model of an offshore wind turbine generator set; establishing a reliability optimal distribution model of the offshore wind turbine generator set by taking the reliability of the offshore wind turbine generator set as the target and the development cost, the maintenance cost and the total cost of the offshore wind turbine generator set as the target on the basis of analyzing the reliability constraint relationship of each subsystem through the maintenance cost-reliability function model and the total cost-reliability function model. Based on the idea of Pareto multi-objective optimization, an improved artificial bee colony algorithm is proposed to be applied to solving ofa reliability optimization allocation model; the improved artificial bee colony algorithm can effectively improve the solving efficiency and solving quality of the model. For the solved Pareto non-dominated solution set of the reliability allocation scheme, a PROMETHEE-II method is adopted to perform secondary optimization on the reliability allocation scheme, and the optimal reliability allocation index of each subsystem is determined.

Description

technical field [0001] The invention belongs to the field of reliability distribution, and relates to a reliability distribution method of an offshore wind turbine, in particular to a reliability optimization distribution method based on an improved Pareto artificial bee colony algorithm. Background technique [0002] Reliability allocation is to allocate the reliability index required by the customer to each subsystem and component from top to bottom under the condition of limited time and cost, which is a process of deductive decomposition. Reliability allocation includes allocation without constraints and allocation with constraints. The unconstrained reliability allocation method comprehensively considers the importance and complexity, and decomposes the system reliability requirements into each subsystem or component by formulating various weight coefficients. Such as the similar product method, the expert score assignment method is a typical unconstrained reliability a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06N3/00G06Q10/06G06Q50/06G06F111/04G06F119/02
CPCG06N3/006G06Q10/06393G06Q50/06Y04S10/50
Inventor 汪臻邓巍杨正华沈明强周国栋王有超
Owner 华能如东八仙角海上风力发电有限责任公司
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