A Dipolar PWM Algorithm for Direct Power Control of Dual-Input Three-Level Inverters

IF 7.2 1区 工程技术 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Industrial Electronics Pub Date : 2024-11-05 DOI:10.1109/TIE.2024.3485625
Monchai Ariyapuek;Surapong Suwankawin;Somboon Sangwongwanich;Ariya Sangwongwanich
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Abstract

This article proposes a new dipolar pulse width modulation (PWM) algorithm for direct power control of each dc source of a dual-input three-level inverter. This capability, which is required for dual maximum power point tracking (MPPT) in photovoltaic (PV) applications and power distribution control of mixed or hybrid dc-sources, cannot be achieved easily with the conventional control methods. In the proposed algorithm, the upper and lower dc-bus powers are controlled directly by simply decomposing the output voltage command into upper and lower reference voltages of the dipolar PWM using two coefficients that are proportional to the commanded dc-bus powers. Implementation of the proposed dipolar PWM algorithm is simple because it uses a carrier-based PWM method and the complexity of the algorithm is much lower than that of the conventional methods. The limitation of dc-bus power distribution under the dipolar PWM is also analyzed. The effectiveness of the proposed algorithm is verified by simulation and experiment.
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用于双输入三电平逆变器直接功率控制的双极性 PWM 算法
本文提出了一种新的双输入三电平逆变器直流电源直接功率控制的双极脉宽调制(PWM)算法。这种能力是光伏应用中的双最大功率点跟踪(MPPT)和混合或混合直流电源的配电控制所需要的,用传统的控制方法很难实现。在该算法中,通过使用与命令的直流母线功率成比例的两个系数,简单地将输出电压命令分解为偶极PWM的上下参考电压,直接控制直流母线的上下功率。所提出的偶极PWM算法采用基于载波的PWM方法,实现简单,算法的复杂度远低于传统方法。分析了双极PWM下直流母线功率分配的局限性。仿真和实验验证了该算法的有效性。
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来源期刊
IEEE Transactions on Industrial Electronics
IEEE Transactions on Industrial Electronics 工程技术-工程:电子与电气
CiteScore
16.80
自引率
9.10%
发文量
1396
审稿时长
6.3 months
期刊介绍: Journal Name: IEEE Transactions on Industrial Electronics Publication Frequency: Monthly Scope: The scope of IEEE Transactions on Industrial Electronics encompasses the following areas: Applications of electronics, controls, and communications in industrial and manufacturing systems and processes. Power electronics and drive control techniques. System control and signal processing. Fault detection and diagnosis. Power systems. Instrumentation, measurement, and testing. Modeling and simulation. Motion control. Robotics. Sensors and actuators. Implementation of neural networks, fuzzy logic, and artificial intelligence in industrial systems. Factory automation. Communication and computer networks.
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