粒子群优化及其在电力变换器系统中的应用

N. Azli, Norkharziana Mohd Nayan, S. Ayob
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引用次数: 2

摘要

粒子群优化算法以其易于实现而闻名,并已在许多优化问题中表现出良好的性能。因此,它有望减轻与电力变换器系统相关问题的非线性超越方程解相关的计算负担。本文首先概述了PSO的一般概念及其变体。接着对粒子群算法在变换器系统中的应用进行了综述。然后,给出了一个实例应用,重点介绍了谐波消除脉宽调制HEPWM技术在单相逆变电路上的实现。对逆变器运行的仿真和实验结果表明,所采用的粒子群算法能够准确地计算出相应的开关角并为逆变器功率器件产生门信号,提高了逆变器的整体系统性能。
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Particle swarm optimisation and its applications in power converter systems
Particle swarm optimisation PSO algorithm is known for its easy implementation and has been empirically shown to perform well in many optimisation problems. Thus, it is expected to mitigate the computational burden associated with the solutions of non-linear transcendental equations relevant to problems related to power converter systems. This paper starts with an overview of the general concept of PSO and its variants. It then continues with a review on the application of the PSO algorithm in power converter systems. Then, a sample application is described, focusing on the implementation of the harmonic elimination pulse width modulation HEPWM technique on a single-phase inverter circuit. The results of a simulation and experimental work on the inverter operation have revealed that the PSO method employed is capable of accurately calculating the relevant switching angles and generating the gate signals for the inverter power devices and improving its overall system performance.
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