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Optimization Design on Low Energy Consumption of Low-Voltage Circuit Breakers Using PSO Algorithm |
Dai Shuidong, Ju Wenzhe, Xia Kewen, Zhou Qiao |
School of Electronic and Information Engineering Hebei University of Technology Tianjin 300401 China |
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Abstract In low power consumption design of the low-voltage circuit breakers, the parameter setting is usually selected by experience, so it is difficult to minimize the energy consumption. In order to solve this problem, based on analyzing mathematical physics model of the energy consumption of HSW6 low-voltage circuit breakers, a new design method for the optimization design of the low energy consumption parameters using the particle swarm optimization (PSO) is proposed. First, the circuit breaker’s rated current and internal power dissipation, copper consumption, number of contacts, contact resistance, etc. are taken into account. And then it can be transformed into a problem of solving the optimal values of those parameters. Through the application of self-adaptive PSO algorithm, finally, the global optimization and the specific values of the parameters can be achieved. The actual application shows that the optimization design method based on PSO algorithm can not only meet the low power consumption design requirements, but also improve the design efficiency.
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Received: 14 June 2016
Published: 25 October 2017
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Corresponding Authors:
河北省自然科学基金(E2016202341)和河北省引进留学人员基金(C2012003038)资助项目
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