遗传算法在电力传输温度监测系统中的应用

摘要

将无线传感器网络应用于高压电接点的温度监测系统中,当高压电接点温度过高时及时发出报警信息.针对无线传感网络的能量限制问题,采用改进后的遗传算法对网络中无线温度传感器节点进行能量优化,使整个无线传感网络能量的消耗最少.MATLAB仿真结果表明:改进后的遗传算法有更好的寻优效果,克服了局部最优的误区,保证了电力传输过程中无线温度监测系统能量的优化.%This paper applied the wireless sensor network technology to the high-voltage contact with the temperature monitoring system. When the temperature was anomaly, the monitoring personnel would receive the alarm information immediately.For the problem of the energy limited in wireless sensor networks, used the improved genetic algorithm for energy optimization to make the whole energy consumption of the sensor networks tend to be optimal. MATLAB simulation results show that the improved genetic algorithm has better optimum effect and overcome the local optimum, and ensure the energy optimization of the wireless temperature monitoring system in power transmission.