Multi-objective hybrid particle swam optimization design method for double-fed wind power generator

Abstract

The invention belongs to the field of motor optimization designs, and relates to a multi-objective hybrid particle swam optimization design method for a double-fed wind power generator. The method comprises the following steps of: (1) determining a constraint condition and a to-be-optimized design variable of the double-fed wind power generator, and establishing sub-objective function equations to form a multi-objective function; (2) constructing variable space by using the to-be-optimized design variable, and constructing non-dominated solution sets of population according to the quality of an objective value; (3) ordering the non-dominated solution sets according a Pareto domination mechanism, determining a population niche by taking a non-dominated solution as a core, establishing a particle speed updating mechanism and finally obtaining an optimal design scheme; manufacturing a mode machine according to the optimal design scheme, inspecting an actual operation index of a motor, and comparing the actual operation index with an index given by the design scheme; and if the actual operation index exceeds a requirement range of operation indexes, adjusting a performance design scheme. Due to the adoption of the motor optimization design method provided by the invention, overall economic benefit and wind energy utilization rate of a wind power generating system can be improved.

Description

technical field [0001] The invention relates to the field of motor optimization design, in particular to a multi-objective intelligent optimization design method. Background technique [0002] With the rapid development of wind power technology, the share of wind power in the grid is getting heavier. As one of the important components of the variable-speed constant-frequency wind power generation system, the doubly-fed wind generator’s performance is directly related to the success or failure of the entire wind power system operation. The design of doubly-fed wind turbines is different from that of ordinary AC motors. In the design, it is necessary to consider the particularity of wind power applications and the particularity of the rotor being excited by the frequency converter. There is a problem of matching the parameters of the motor and the frequency converter. The basic performance requirements of variable-speed constant-frequency wind power generation must also have ...

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Problems solved by technology

However, due to the conflict between the motor performance indicators, there is no optimal solution that satisfies multiple performance indicators at the same time, and the objective function and constraints are highly nonlinear, and there is strong coupling between variables. Therefore, the processing and optimization of the objective function The structure of the algorithm affects the quality of the motor design scheme and determines the performance of the motor

[0004] Traditional optimization algorithms based on classical extremum theory and traditional stochastic algorithms have achieved certain results in the practical application of motor design, but a series of disadvantages have gradually emerged: for example, based on the assumption that design variables are differentiable, the dependence problem has a strong gradient; The optimization process is greatly restricted by the initial solution, and the optimization result often converges to the local optimal point near the initial value, and the global search ability is poor; many factors need to be ignored in the modeling and solution, making it difficult for the algorithm to obtain the optimal solution when dealing with complex problems

In addition, traditional optimization algorithms are mainly used to solve single-objective optimization problems. For multi-objective optimization problems, it is mainly through the weighted combination of objective functions to convert them into single-objective optimization, and the introduction of objective function weight decision-making problems directly affects the motor design results and running performance

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