MARATTO

article

Model Predictive Control-Based Dual Input Split Source Inverter for PV Applications

Abstract

Robust and efficient integration of photovoltaic (PV) sources is essential for enhancing the domination of renewable sources and promoting energy transition. Recently, impedance source inverters have attracted wide interest. However, they need a high number of passive components. Thence, lower efficiency, higher cost, and bulky volume are the main drawbacks of conventional impedance source inverters. The split source-based PV inverters (SSI) have presented lower components and smaller volume candidates in these applications. Therefore, this paper presents a modified dual-input-based SSI for PV inverters. Moreover, an improved finite control set (FCS) model predictive control (MPC) method is proposed for controlling the multi-inputted PV power with their expected shading conditions. The proposed FCS-MPC also injects high quality AC current/power to the utility grid side. The proposed dual input topology and FCS-MPC are verified experimentally. The superiority of input in addition to output sides waveform qualities has been proven.

Research topics

  • Photovoltaic System Optimization Techniques
  • Multilevel Inverters and Converters
  • Advanced DC-DC Converters

Sustainable Development Goals

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.1109/iecon55916.2024.10905950

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.