PROJECT TITLE :

A Novel Unsymmetrical Multi-Segment Concentric Winding Scheme for Electromagnetic Force and Leakage Flux Mitigation in HTS Power Transformers

ABSTRACT:

The high axial and radial forces caused by short circuits can be very detrimental to high-temperature superconductor (HTS) windings of HTS transformers. Axial forces on top of the HTS winding essential value cause irreversible effects on the critical current reduction of an HTS tape. Such forces can disrupt the traditional performance of HTS transformers and lead to quench phenomenon and insulation breakdown. Accordingly, any optimization in the design of HTS transformers that decreases the leakage flux and electromagnetic forces is terribly important. This paper presents a unique method for reduction of leakage flux and thereby electromagnetic force within the windings of an HTS power transformer. First, concentric primary and secondary windings are subdivided into certain range of segments. In the following step, the proposed method, which is predicated on selecting the optimum distributive ratios for the created subwindings, is applied to the windings. So as to verify the effectiveness of the proposed technique, a sophisticated finite-part method has been used. The tactic uses correct and nonlinear E-J power law for outlining the superconductivity characteristic. The results showed the efficiency of the applied method to mitigate the radial and axial leakage flux and thereby electromagnetic forces within the windings of the HTS transformer.


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