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

Abstract

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.