Multiport Power Management Method with Partial Power Processing in a MV Solid-State Transformer for PV, Storage, and Fast-Charging EV Integration

Also Available Domains Microgrids|Electrical Vehicles

Project Code :TEPGPS752


The main objective of this project is to develop a multiport power management method that optimizes the power flow between the PV system, energy storage system, fast-charging EV station, and the MV SST.


This paper proposes, a control method to enable partial power processing (PPP) for increased efficiency of a multiport solid-state transformer (SST). Multiport SSTs are promising in integrating multiple LV DC/AC sources/loads such as photovoltaic (PV), storage, and electric vehicles (EV) into the grid without bulky line-frequency transformers. However, considering ~98.5% efficient line-frequency transformers, efficiency is one major challenge of the SST. For multiport MV LV SSTs, it is revealed in this paper that enabling direct energy exchange between two LV ports is more efficient than circulating power from one LV port into the transformer and back to another LV port. With the PPP, most power exchange between LV ports is processed by only part of the converter. This paper describes a modulation and control scheme for PPP of a current-source SST. The fundamental idea is to select appropriate space vectors that enable direct LV ports power exchange. With the proposed PPP control, the converter efficiency can increase by ~0.37%-1.28% in a wide-range of operating points in this paper. Simulation and experimental results verify the proposed PPP control scheme. The simulation results can be evaluated by using Matlab/Simulink 2018a Software.

Keywords: Three-port power electronic transformer (PET), current-source converter (CSC), isolated bidirectional converter, differential power processing (DPP), battery energy storage system (BESS), ultrafast charging, extreme fast charging, modular soft switching solid-state transformer (M-S4T). 

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram


Software Configuration:

Operating System       : Windows 7/8/10

Application Software: Matlab / Simulink

Hardware Configuration:

RAM                           : 8 GB

Processor                     : I3 / I5 (Mostly prefer)

Learning Outcomes

·         Introduction to Matlab/Simulink

·         What is EISPACK & LINPACK

·         How to start with MATLAB

·         About Matlab language

·         About tools & libraries

·         Application of Matlab/Simulink

·         About Matlab desktop

·         Features of Matlab/Simulink

·         Basics on Matlab/Simulink

·         We can learn about Solid State Transformers

·         We can learn about solar PV systems

·         We can learn about Electric Vehicles

·         Project Development Skills:

o   Problem analyzing skills

o   Problem solving skills

o   Creativity and imaginary skills

o   Programming skills

o   Deployment

o   Testing skills

o   Debugging skills

o   Project presentation skills

o   Thesis writing skills

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