First Measurements with NeXtRAD, a Polarimetric X/L Band Radar Network

NeXtRAD is a fully polarimetric, X/L Band radar network. It is a development of the older NetRAD system and builds on the experience gained with extensive deployments of NetRAD for sea clutter and target measurements. In this paper we will report on the first measurements with NeXtRAD, looking primarily at sea clutter and some targets, as well as early attempts at calibration using corner reflectors, and an assessment of the polarimetric response of the system. We also highlight innovations allowing for efficient data manipulation post measurement campaigns, as well as the plans for the coming years with this system

Comparing Different Fault Identification Algorithms in Distributed Power System

A power system is a huge complex system that delivers the electrical power from the generation units to the consumers. As the demand for electrical power increases, distributed power generation was introduced to the power system. Faults may occur in the power system at any time in different locations. These faults cause a huge damage to the system as they might lead to full failure of the power system. Using distributed generation in the power system made it even harder to identify the location of the faults in the system.;The main objective of this work is to test the different fault location identification algorithms while tested on a power system with the different amount of power injected using distributed generators. As faults may lead the system to full failure, this is an important area for research.;In this thesis different fault location identification algorithms have been tested and compared while the different amount of power is injected from distributed generators. The algorithms were tested on IEEE 34 node test feeder using MATLAB and the results were compared to find when these algorithms might fail and the reliability of these methods

Design Simulation and Performance Analysis of Soft Computing Based Islanding Detection System

In recent years, worldwide energy demand has been exaggerated. In addition the lack of adequate transmission capacity, exaggerated transmission and distribution misfortunes and the release of power advertising have been turned into an inspirational power driving the concept, Distributed Generators (DGs). Dispersed age unit (DG) slash hack expansion and mainly regional units linked to distribution to power the system yet to be hundreds of locals[1]. Distributed generation (DG) provides numerous endowments; energy loss decrease throughout force transmission and reduction in the size and scope of electrical cables. Use of the DGs with the present force distribution arrangements may improve the intensity standard by reducing power quality and other issues. The electricity standard is a partner degree that increases concerns for electrical services and their customers during the recent deca. Quality of helpless force is recognised for the variety of aggravations such as diminution of voltage, swelling, imprudent and intermittent homelessness, numerous results, short interference, sounds and voltage shimmers, etc. Methods for locating the system include either moving the boundaries of the system to accept changes in voltage, recurrence that significantly spread throughout the grid removal, or detecting system boundary changes within the islanded DGs through the presentation of small aggravations within the grid activities (dynamic procedures). Current study involves the detection of soft computing classification based on fumbling logic design. In addition, a detection system is presented based on the method of recognition of neural network patterns. The proposed algorithm is superior to contemporary active and passive islanding conditions The proposed algorithm is also created with the help of the proposed algorithm