Dual Phase-Shifted PWM Method With Enhanced Harmonic Performance for Parallel NPC Converters in Grid-Connected Applications

IF 7.2 1区 工程技术 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Industrial Electronics Pub Date : 2024-10-22 DOI:10.1109/TIE.2024.3463010
Jon Xabier Balenciaga;Abraham M. Alcaide;Jose I. Leon;Danel Madariaga;Leopoldo G. Franquelo
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Abstract

The interleaved operation of parallel power converters by applying carrier-based pulse-width modulation (CB-PWM) techniques is a popular method to achieve very high quality output waveforms. However, considering high-power converters that require low switching frequency operation in order keep the power loss below acceptable limits, some of the harmonics may exceed the individual limits defined by grid connection standards. To face this problem, this work proposes to modify the conventional CB-PWM pulse patterns using basic preprogrammed method principles. The proposed method deals not only shaping the required harmonic profile at the grid point-of-common-coupling (PCC), but also reduces the currents total harmonic distortion factors at the load and inverter sides. To consider all these objectives, one high-order polynomial cost function has been defined. The proposed preprogrammed PWM method has been successfully validated in a dual converter system based on neutral point clamped (NPC) converters using separate dc sources.
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并网应用中谐波性能更强的并联 NPC 转换器双移相 PWM 方法
利用基于载波的脉宽调制(CB-PWM)技术实现并联功率变换器的交错操作是实现高质量输出波形的常用方法。然而,考虑到需要低开关频率操作以保持功率损耗低于可接受限度的大功率变流器,一些谐波可能超过电网连接标准定义的个别限制。针对这一问题,本工作提出了使用基本的预编程方法原理来修改传统的CB-PWM脉冲模式。该方法不仅能在电网共耦点(PCC)处形成所需的谐波轮廓,还能降低负载侧和逆变器侧电流的总谐波畸变因子。为了考虑所有这些目标,我们定义了一个高阶多项式代价函数。所提出的预编程PWM方法已成功地在基于中性点箝位(NPC)转换器的双变换器系统中进行了验证。
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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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