A review of soft computing methods for harmonics elimination PWM for inverters in renewable energy conversion systems
A review of soft computing methods for harmonics elimination PWM for inverters in renewable energy conversion systems
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DOI：
10.1016/j.rser.2014.01.080
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发表时间：
2014-05
影响因子：
15.9
通讯作者：
A. Amjad;Z. Salam
中科院分区：
文献类型：
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作者：
A. Amjad;Z. Salam
对于可再生能源（RE）系统，通常需要逆变器将直流电源调节为交流电源，以便连接到电网。逆变器的核心是调制策略，通过使用电力电子开关斩波直流电压来合成交流波形。在众多的调制技术中，谐波消除PWM（HEPWM）由于其上级谐波曲线而被优选;低次谐波的消除导致降低的开关损耗，从而提高逆变器效率。然而，HEPWM方程的非线性和超越性质对传统的计算方法（主要是基于微积分的）提出了挑战。随着低成本和功能强大的计算机的出现，软计算（SC）的方法似乎是一个更好的方法，非常适合处理HEPWM问题的复杂性。本文试图总结九种SC方法的操作，并强调其优点和局限性。此外，这项工作还提出了一个关键的评估性能的三个突出的SC技术，即遗传算法（GA），粒子群优化（PSO）和差分进化（DE）。据设想，在这个单一的参考收集的信息将是有用的研究人员，设计师和从业人员，利用HEPWM设计能量转换系统。
For a renewable energy (RE) system, an inverter is normally required to condition the dc power to ac, so that it could be connected to the electrical grid. At the heart of the inverter is the modulation strategy that synthesized the ac waveform by chopping the dc voltage using power electronics switches. Among the numerous modulation techniques, the harmonics elimination PWM (HEPWM) is preferable due to its superior harmonics profile; the elimination of low order harmonics results in reduced switching losses, hence improved inverter efficiency. However, the non-linear and transcendental nature of the HEPWM equations poses a challenge for the conventional computational methods (mostly calculus-based). With the advent of low cost and powerful computers, the soft computing (SC) approach seems to be a better approach and well suited to handle the complexity of the HEPWM problem. This review paper attempts to summarize the operation of the nine SC methods, as well as highlighting their advantages and limitations. Furthermore, the work also presents a critical evaluation on the performance of the three prominent SC techniques, namely, the Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Differential Evolution (DE). It is envisaged that the information gathered in this single reference will be useful for researchers, designers and practitioners that utilize HEPWM to design energy conversion system.