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.

中文翻译：

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基于人工蜂群算法的万能断路器储能弹簧设计

针对通用断路器储能弹簧设计中弹簧结构参数不完善，断路器体积大，设计效率低等问题，提出了一种断路器储能弹簧参数优化方法。基于人工蜂群（ABC）算法提出。首先，根据储能弹簧的工作原理，推导出储能弹簧的数学优化模型和弹簧参数的约束条件。然后结合云模型和交叉运算对ABC算法进行改进，可以调整交叉因子，加快ABC算法的收敛速度，提高全局搜索能力。并且经典的测试函数仿真验证了改进的ABC算法优于其他进化算法。最后，利用改进的ABC算法对两种不同类型的通用断路器储能弹簧优化模型进行了实验分析，并计算了相应的弹簧参数。实验结果表明，该方法是有效的，可以合理设计断路器储能弹簧的参数，提高设计效率。