Dynamic Simulation and Sensitivity Analysis of Steam Generation Solar Power Plant
Unified Power Quality Conditioner (UPQC) Research Study on Steady - State Power Flow
Photovoltaic Module Failure Detection using Machine Vision and Lazy Learning Technique
Design and Implementation of Wallace Tree Multiplier and Its Applications in FIR Filter
Review on Obstacle Detection in Solar Panel Cleaning Applications
Loss Distribution Methodology with a Sense Of Emission Dispatch
Low Power Optimization Technique Based Linear Feedback Shift Register
Leakage Power Reduction Using Multi Modal Driven Hierarchical Power Mode Switches
Validation of IOV chain using OVM Technique
Performance of Continuous and Discontinuous Space Vector Pwm Technique for Open End Winding Induction Motor Drive
Electronic Circuit Design for Electromagnetic Compliance through Problem-Based Learning
Trioinformatics: The Innovative and Novel Logic Notation That Defines, Explains, and Expresses the Rational Application of The Law of Trichotomy for Digital Instrumentation and Circuit Design
Design Of a Novel Gated 5T SRAM Cell with Low Power Dissipation in Active and Sleep Mode
A Two Stage Power Optimized Implantable Neural Amplifier Based on Cascoded Structures
An Efficient Hybrid PFSCL based Implementation of Asynchronous Pipeline
This paper suggests a new control strategy that consists of a grid interfaced four leg inverter control system using adaptive fuzzy controller for a 3-phase 4-wire distribution system that is capable of simultaneously compensating problems like power factor, current imbalance and current harmonics, and also of injecting the energy generated by Renewable Energy Sources (RES). The grid interfacing can thus be utilized as:1)power converter to inject power generated from rest the grid, and 2)shunt APF to current unbalance, load current harmonics and load reactive power demand. All of these functions may be accomplished either individually or simultaneously. This new control concept is demonstrated with extensive MATLAB/simulink simulation studies.
This paper presents a wavelet based protection scheme for a single line transmission system is connected to load. A wavelet based multi resolution analysis is used to find the detailed coefficients of the signals which are utilized to calculate fault index. These fault indexes are compared with the threshold value to detect and classify faults on transmission system and for the location of fault using artificial neural networks. The proposed algorithm is proved for the detection, classification and location of faults on Transmission lines which is almost independent of fault impedance, fault inception angle and fault distance of transmission line.
This paper proposes a Distributed Static Series Compensator (DSSC) for improving the active power flow in the distribution systems. The DSSC can be operated to control the impedance of the line so as to improve the active power flow by clamped round the existing distribution line. In this paper it is proposed that a distributed approach to power flow control can simultaneously solve some of the most daunting issues that have held back widespread commercialization of flexible AC transmission technology (FACTS). The effect of DSSC is investigated by simulating the model using the PSCAD and also in MATLAB/ Simulink environment.
MEMS offer various fabrication process to fabricate diaphragms for various applications such as microphones, capacitive sensors, pressure sensor, micro-pumps etc. The working principle of all the devices is based on the force uniformly applied on the diaphragm and cause the diaphragm to deflect. The parameter optimization of the diaphragm is a challenge in order to achieve the best performance of the device.
Any reliable transmission line protection scheme is expected to quickly detect faults and isolate the faulted section immediately. Ability to locate the fault, further helps fast restoration of service in case of permanent faults or identifying the weak spots in the system. This paper explores different fault detection and location algorithms and their performance is analyzed using different types of faults, fault resistance and inception angles. Influence of series compensation on fault location is also studied. Two fault detection techniques i.e. moving-sum approach and cumulative-sum approach are evaluated. Fault location is done by using travelling wave theory, which is utilized in capturing the travel time of the transients along the monitored lines between the fault point and relay. Wavelet transform is used for analyzing power system fault transients in order to capture the travel time. Performance of location algorithms for both single ended and two ended measurements is analyzed. Results of the performance studies on the algorithms for detection and the location with compensated and uncompensated lines are presented. The performance of the algorithm is tested in MATLAB simulation environment.