PROJECT TITLE :

A Novel DC-Power Control Method for Cascaded H-Bridge Multilevel Inverter (Mar 2017) - 2017

ABSTRACT:

The cascaded H-bridge converter has been widely used in business. The flexibility of coping with unequal power generation among dc links is essentially needed in several applications, like large-scale photovoltaic power plants and electric vehicles. In this paper, a novel dc-power management technique (PCM) is proposed to stay the ac-current balance and maintain power generation ratios of every dc supply at their expected values. A simplified modulation strategy is introduced to implement the proposed method, in which the period times are modified directly by the correction price derived from the PCM method. To calculate and adjust the facility generation ratios, a method based mostly on first-in initial-out (FIFO) knowledge queue is utilised. The limitation and ranges of power generation ratio are analyzed intimately. DC power per section can be controlled accurately by the proposed technique in variable-frequency condition, even below larger power generation ratios. Results obtained from simulations and experiments are presented to verify the feasibilities and superiorities of the proposed technique.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : Novel Secure Outsourcing of Modular Inversion for Arbitrary and Variable Modulus ABSTRACT: In the fields of cryptography and algorithmic number theory, modular inversion is regarded as one of the operations that
PROJECT TITLE : A Novel Blockchain Based Secured and QoS Aware IoT Vehicular Network in Edge Cloud Computing ABSTRACT: An IoT (Internet of Things)-based vehicular ad-hoc network and a software-defined network are the two components
PROJECT TITLE : Progressive Self-Supervised Clustering With Novel Category Discovery ABSTRACT: Clustering is one of the most classical methods used to analyze data structures in machine learning and pattern recognition at the
PROJECT TITLE : Large-Scale Affine Matrix Rank Minimization With a Novel Nonconvex Regularizer ABSTRACT: The goal of low-rank minimization is to recover a matrix with the lowest possible rank while still satisfying the constraints
PROJECT TITLE : A Novel Discriminative Dictionary Pair Learning Constrained by Ordinal Locality for Mixed Frequency Data Classification ABSTRACT: One of the challenges that classification must overcome is the fact that the data

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry