遗传算法在电力传输温度监测系统中的应用*

电力传输系统中常常会发生高压电接点过热而造成的停电火灾事故，造成巨大的经济损失。将无线传感网络应用到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上的优化，使整个无限传感网络能量的消耗趋于最优。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的能量优化。

Application of genetic algorithm in power transmission temperature monitoring system

Power transmission system often happen outage fire accident which cause huge economic losses because of the high-voltage contact overheating. Wireless sensor network technology will be applied to the high-voltage contact with the temperature monitoring system.When the temperature is anomaly,the monitoring personnel will receive the alarm information immediately. For the problem of the energy limited in wireless sensor networks, using 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. Ensure the energy optimization of the wireless temperature monitoring system in power transmission.