Power quality improvement using 5 level flying capacitor multi level converter baed dynamic voltage restorer for various faults project is a MATLAB project which explains about DVR applications on Power distribution systems for mitigation of voltage sags, and differences caused in sensitive loads. DVR is also part of VSC called as five level flying capacitor, which is already proved solution for handling tasks related to voltage disturbances.
Performance of DVR is based on control techniques used in application. In this project control system used is based on repetitive control. Related to all control schemes which can work for comparable range, there is need of only one controller for cancelling all other disturbances simultaneously by giving best performance .
For applications in which low voltages are used, DVRs with two level converters are normally used. Application which use high power, electronic devices which work on medium voltage grid , In this case using tow level voltage converters is not possible where high voltages switches must block.
In this project to design closed loop DVR control system we used five level flying capacitor converter which is related to repetitive control. In this project we use only one controller for cancelling all three disturbances simultaneously by giving best dynamic performance. This project will give results which shows regular cancellation of out voltage sags , voltage imbalances and voltage harmonics.
Coordinated control and energy management of distributed generation inverters in a microgrid project explains about connecting different DG units ( distributed generation ) to a single distributed grid in a microgird. This micro grid consists of PV called as photovoltaic array which acts as the primary generation unit of microgrid and proton exchange membrane fuel cell. These will help in providing supplement variability power which is generated by PV array. By design DG inverters we can have a new model predictive control algorithm which will help is saving computenationl time for large scale power systems . This can be done by optimizing both these transient control problem and steady state problem separately.
By using renewable energy sources which can supplement power generation from distribution grid. There are issues related to renewable engery sources like stability , reliability these issues may cause same problem to distributed network. To manage this issues batteries and ultra capacitors can be used to give stability. At the time of peak demand these solutions may not solve problem.
In proposed system microgrid is used which consist of PV array, PEMFC type of fuel cell and battery ( lithium ion storage battery ) is used. Controller used in this DG inverters is designed based on MPC Algorithm which will decompose control problem in to a steady state and reduce problem and reduce overall computation time.
This project is developed using MATLAB / SIMULINK Software and results shows effective calculations for proposed system.
An Interpolated Phase Adjustment by Contrast Enhancement Algorithm for SAR Matlab project explains about detailed layered image module, input image module, pace module, HR image module, compression by PSNR module.
This Project was developed in Matlab 7.10.0 editor tool. We should select an image from the interpolated phase folder and it automatically enhances the image and gives results. Coming to the compression by PSNR method pace & interpolated pace can be calculated.
The main aim of this An Improved Image Compression Algorithm Using Binary Space Partition Scheme and Geometric Wavelets matlab project report is to compress the images.
This application mainly works with the Binary Space Partitioning method used by Sparse Geometric Representation Extraction, encoding the image and decoding image method. The main advantage of this project is to decrease the block size of the image as well as decrease the time limit.
The main aim of this A New Supervised Method for Blood Vessel Segmentation in Retinal Images by Using Gray-Level and Moment Invariants-Based Features Matlab final year project is to provide a neural network (NN) method to detect images. This project was mainly uses in Diabetic retinopathy systems. This matlab application works with the Retinal images where it can be preprocessed by feature selection and extraction, data structuring can be applied by data sets.
Download A New Supervised Method for Blood Vessel Segmentation in Retinal Images and Moment Invariants-Based Features mat lab Project Abstract, Base paper, documents, seminar topics, source code.