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
In this paper, a simultaneous approach to choose optimal number of wind based Distributed Generation (DG) units and their locations is proposed with an objective of minimizing annual energy loss in a distribution network. Most of the methods developed so far for optimal allocation of DG units assumed constant DG output and network load profile which is unreal. Optimal DG sizes and locations found with above assumptions would not lead to minimum annual energy loss when employed in realistic scenario where there is uncertainty in the DG output power generation and network loads have a time-varying load profile. In this work, wind based generation units are considered as the DG sources for allocation. In order to gauge the effect of uncertainty in wind power generation and time-varying load profile on optimal DG allocation problem, a meta-heuristic method which employs Harmony Search algorithm is used to solve multiple wind based DG units. Performance and effectiveness of the proposed method is demonstrated by carrying out simulations on 33-bus and 69-bus radial distribution systems. Simulation results indicate that consideration of uncertainty in wind power generation and time varying load profile significantly affects location and size of DG resources in distribution systems.
Advances Differential prot ecti on system is us e d t o protect most of the power transformers in power systems. The protection system is based on the differential currents/voltages of the primary an d secondary of the transformers under fault conditions and under normal operating conditions. The inrus currents or the magnetizing currents are generated in the transformer when it is switched on to the transmission system or the external fault in the system is cleared. The inrush currents other than the fault currents may activate the differential protection system if suitable blocking scheme is not incorporated in the protection system of the power transformer. Therefore, identification of inrush current and the fault currents is the key to improve the security of the differential protection scheme. This paper proposes the development of a new algorithm to improve the differential protection performance by using fuzzy logic and Clarke's transform. The result obtained concludes an effective method to differentiate the different internal faults with accuracy as well as shows an improvement in the time taken to detect faults
In this paper, a low-power pulse-triggered flip-flop (FF) designed and a simple two-transistor AND gate is designed to reduce the circuit complexity. Second, a conditional pulse-enhancement technique is devised to speed up the discharge along the critical path only when needed. As a result, transistor sizes in delay inverter and pulse-generation circuit can be reduced for power saving. Various post layout simulation results based on UMC CMOS 50-nm technology reveal that the proposed design features the best power-delay-product performance in several FF designs under comparison. Its maximum power saving against rival designs is up to 18.2% and the average leakage power consumption is also reduced by a factor of 1.52
Injection of the wind power into an electric grid affects the power quality. The performance of the wind turbine and thereby power quality are determined on the basis of measurements and the norms followed according to the guideline speci?ed in International Electro-technical Commission standard, IEC-61400.This paper demonstrates the power quality problem due to installation of wind turbine with the grid. In this proposed scheme Static Compensator (STATCOM) is connected at a point of common coupling with a battery energy storage system (BESS) to mitigate the power quality issues. The battery energy storage is integrated to sustain the real power source under ?uctuating wind power. The STATCOM control scheme for the grid connected wind energy generation system for power quality improvement is simulated using MATLAB/SIMULINK in power system block set. The effectiveness of the proposed scheme relives the main supply source from the reactive power demand of the load and the induction generator. The development of the grid co-ordination rule and the scheme for improvement in power quality norms as the grid has been presented
In power system studies, Load frequency control is an important issue to supply sufficient and reliable electric power with good quality. The main objective of LFC is to maintain load frequency and tie-line power flow within permissible limits by adjusting megawatt output of LFC generators, so as to accommodate fluctuating load demands. This paper presents a brief review of different control techniques to researchers on design of LFC controllers in deregulated environment. The overview of different control strategies are explained in brief, such as Classical and Modern feedback controllers, Adaptive, Intelligent and Robust control strategies along with their relative advantages and disadvantages. Finally, incorporating Facts devices and Energy storage devices in the investigation of LFC problem have also been discussed.
