Relationship and Comparative Analysis of Three Complex Power Vectors-Based Model Predictive Control Under Unbalanced Networks | IEEE Journals & Magazine | IEEE Xplore

Relationship and Comparative Analysis of Three Complex Power Vectors-Based Model Predictive Control Under Unbalanced Networks


Abstract:

The previous studies examined the relationship between traditional complex power (TCP) and extended complex power (ECP)-based direct power controls (DPCs). A novel comple...Show More

Abstract:

The previous studies examined the relationship between traditional complex power (TCP) and extended complex power (ECP)-based direct power controls (DPCs). A novel complex power (NCP) is modeled, and we then study the relationship between the NCP and existing complex powers. The frameworks of TCP-, ECP-, and NCP-based model predictive DPC (MPDPC) are established and studied using mathematical models and tools. Under slightly unbalanced grid voltages, we perform a comparative analysis of the above three methods. The inherent equivalence or relationship between the three methods is described in terms of power variations. Under extremely unbalanced grids, the existing TCP- and ECP-based MPDPCs cannot work well, resulting in nonsinusoidal grid currents and larger power ripples. However, the NCP-MPDPC achieves the better steady-state performance. To reveal their inherent relationships, we conduct a comparative study from their output reference voltages. Finally, we are stimulated to design an NCP-based MPDPC. The MPDPC method is realized by selecting one extended active vector and a zero vector. The duty cycles of all voltage vectors are redesigned to achieve sinusoidal grid current and minimize total harmonic distortion (THD). Both the simulations and experiments validate the effectiveness of their inherent relationships of three methods.
Page(s): 338 - 349
Date of Publication: 11 July 2024

ISSN Information:


I. Introduction

Three-phase pulsewidth modulation (PWM) rectifiers have been widely investigated to improve control performance under different operating scenarios. PWM rectifiers offer multiple benefits, including bidirectional power flow, sinusoidal grid currents, and robust dc voltage regulation. Consequently, the use of PWM rectifiers is rising in applications, such as smart microgrids [1], renewable energy sources [2], energy storage systems [3], and unified power flow controllers [4]. However, in practice, power grids may experience nonideal conditions due to weak grids, faults, or unbalanced loads. To ensure high-performance PWM rectifier operation, control methods must be designed to handle both balanced and unbalanced grid voltages.

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