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
Most modern digital circuits use synchronous design techniques. With the increase in operation frequency, the requirement for the delay stability is very strict. But even when design is completed, circuit parameters such as capacitance, resistance, as well as transistor's behaviour can only be modelled with limited accuracy, and these characteristics can vary with PVT (Process, Voltage, Temperature). The complexity and interactions among these factors make exact timing design of digital circuit an increasingly difficult task, and even with proper design, some percentage of manufactured circuits will fail to meet timing specification. We propose a method for fine-tuning circuit timing and duty cycle adjustment after fabrication. It allows correcting post-fabrication timing errors.
In this paper, the hybrid storage system for renewable energy based hybrid power plant has been implemented to fulfill fluctuating load demands. System contains renewable energy sources (photovoltaic panels and wind turbine), super capacitor with a power convertor and a three-phase variation load. In storage systems, batteries encounter problems related to life cycle, temperature coefficient, pack size for desired demand, critical charging current, charging and discharging cycles and these all can be solved by the proposed hybrid storage system which is combination of battery storage unit with super capacitor. Its technical features based on the system energy storage unit plays essential role in elimination of these problems. The control strategy is performed by MATLAB /Simulink R2018a.
Power transmission lines are the vital links that connects the generating station and load centers to achieve the essential continuity of service of electric power to the consumers. Transmission line protection is usually a subject of major concern in the field of Electrical Engineering, as it is a vital power grid and is constantly exposed to the environmental conditions. Indeed, the faults due to overhead transmission lines are about 50% as compared to the different types of faults that occur in a power system. Since these faults can destabilize the facility system, they need to be isolated immediately. With an ever-increasing demand for better performance and minimal interruptions, accurate fault analysis is required so as to detect, classify and clear the transmission line fault and to revive a system to its normal operation. Wavelet Transform is one among the foremost important techniques employed in fault analysis over the last decade. The detection and classification of fault is done by computing the approximation and detail coefficients of phase currents using Discrete Wavelet Transform (DWT) in the MATLAB/Simulink.
This paper presents an optimization method for selective harmonic elimination in a cascaded multilevel inverter (MLI) using teaching-learning based optimization (TLBO). The main objective in selective harmonic elimination (SHE) strategy is to eliminate low-order harmonics by solving nonlinear equations and reaching optimal solution, while the fundamental component is satisfied. In this paper, different optimization methods are compared. In this paper, the TLBO as a recently emerged nature-inspired algorithm is presented to provide better results for the SHE in comparison with Genetic algorithm (GA), Particle swarm optimization (PSO), Newton Raphson Method (NR) and Satin Bowerbird algorithm (SBO). For better comparison of those methods and influence of optimal DC source a 7-level inverter is chosen and MATLAB/Simulink software is used for optimization. Simulation results show the superiority of TLBO, higher precision and probability of convergence than other mentioned algorithms.
Improved power quality is the driving capability for today's modern manufacturers. Consumer awareness regarding reliable power supply has risen enormously in the last decade. This has led to an additional impact in the development of small distributed generation (DG). Small isolated DG sets can feed local loads, leading to enhancement in the authenticity of power with low capital investment. These systems also increase importance in remote areas where transmission using overhead conductors or cables is unrealistic or prohibitive due to high cost and other circumstances. Small generation systems in rural areas, islands, hilly terrains, marine plants, aircraft, etc., can be efficiently used in developing countries too. However, these DG sets have to be de-rated if the induction motor loads are instantaneously started. One practical choice is to use DSTATCOM in a shunt structure with the central system to efficiently utilize the full capacity of producing sets. DSTATCOM consists of a voltage source converter (VSC), and it internally has the required capacitive and inductive reactive power. Its control is high-speed and can provide acceptable reactive power compensation to the system to which it is connected. The method of DSTATCOM for solving power quality problems due to voltage fall/dip, flickers, swell, etc., has been suggested. The purpose of DSTATCOM is to provide efficient voltage regulation at the point of standard coupling (PCC) and thus prevent significant voltage dips.
