基于PSA的中压电力线载波通信自适应阻抗匹配

Adaptive impedance matching of medium voltage power line carrier communication based on PSA

在中压电力线通信中,针对复杂电器元件的种类、数量不断变化等因素导致线路阻抗不匹配而影响通信质量的问题,提出了一种中压电力线载波通信自适应阻抗匹配方法。首先,建立了中压阻抗匹配系统模型,在该模型的基础上提出了一种π型自适应阻抗匹配电路。然后,根据该电路设计了符合阻抗共轭匹配原理的目标函数,通过PID搜索算法(PID-based search algorithm, PSA)寻找最优元件参数,实现目标函数最优。最后,在此模型基础上仿真分析了PSA算法、粒子群算法(particle swarm optimization, PSO)和遗传算法(genetic algorithm, GA)的优劣性。结果表明,PSA算法在收敛速度和寻优精度方面优于PSO和GA算法,能够有效实现阻抗匹配进而改善载波通信质量,为中压电力线通信进一步研究提供了可行性方案。

In medium voltage power line communication,an adaptive impedance matching method for medium voltage power line carrier communication is proposed to solve the problem that line impedance mismatch caused by the variety and quantity of complex electrical components will influence the quality of communication.First,a model of a medium voltage impedance matching system is established,and a À-type adaptive impedance matching circuit is proposed based on the model.Then,an objective function conforming to the impedance conjugate matching principle is designed according to the circuit,and the optimal component parameters are found out by PID-based search algorithm(PSA)based on proportional integral differential(PID)to achieve the optimal objective function.Finally,based on this model,the advantages and disadvantages of PSA,particle swarm optimization(PSO)and genetic algorithms(GA)are simulated and analyzed.The results show that the PSA is superior to PSO and GA algorithms in terms of convergence speed and optimization accuracy,and can effectively realize impedance matching and improve carrier communication quality.This provides a feasible scheme for further research on medium voltage power line communication.