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Design for Energy Storage Springs of Universal Circuit Breakers Using Artificial Bee Colony Algorithm

机译:使用人造蜜蜂菌落算法设计通用断路器储能弹簧的设计

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摘要

To solve the imperfect springs structure parameters in the design of energy storage springs of the universal circuit breakers, and problems such as large volume of circuit breakers and low design efficiency, an approach to optimize the parameters of the energy storage springs of the circuit breakers is proposed based on the Artificial Bee Colony (ABC) algorithm. First, the mathematical optimization model of energy storage springs and the constraints of the spring parameters are derived in accordance with the working principle of energy storage springs. Then combined with cloud model and cross operation, the ABC algorithm is improved, which can adjust the cross factor, accelerate the convergence speed of ABC algorithm and improve the global search ability. And the classical test-function simulations verify that the improved ABC algorithm is superior to other evolutionary algorithms. Finally, the two different types of energy storage springs optimization models of universal circuit breakers are experimentally analyzed by use of the improved ABC algorithm, and the corresponding springs' parameters are calculated. The experiment results show that the proposed approach is effective, which can reasonably design the parameters of energy storage springs of circuit breakers and improve the design efficiency.
机译:为了解决普通断路器的储能弹簧设计中的不完美弹簧结构参数,以及大量的断路器诸如大量的断路器和低设计效率,优化断路器储能弹簧参数的方法是基于人工蜂菌落(ABC)算法提出。首先,根据能量存储弹簧的工作原理导出能量存储弹簧的数学优化模型和弹簧参数的约束。然后将ABC算法与云模型和交叉操作相结合,可以调整交叉因子,加速ABC算法的收敛速度,提高全球搜索能力。古典测试功能模拟验证改进的ABC算法优于其他进化算法。最后,通过使用改进的ABC算法,通过使用改进的ABC算法来通过使用改进的ABC算法进行两种不同类型的能量存储弹簧优化模型,并且计算相应的弹簧参数。实验结果表明,该方法有效,可合理地设计断路器储能弹簧的参数,提高设计效率。

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