Thermodynamic and Exergoeconomic Operation Optimization and Simulation of Steam Generation Solar Power Plant
Topology Transformation Approach for Optimal PMU Placement for Monitoring and Control of Power System
Performance Evaluation of Power System with HVDC Integration: Impact of SSSC and STATCOM on Power System Efficiency and Stability
Photovoltaic Systems: A Pollination-Based Optimization Approach for Critical Industrial Applications
Design of a Robust Controller for the Load Frequency Control of Interconnected Power System
Multi Area Load Frequency Control of a Hybrid Power System with Advanced Machine Learning Controller: Case Study of Andhra Pradesh
A New Hybrid Cuckoo Search-Artificial Bee Colony Approach for Optimal Placing of UPFC Considering Contingencies
Efficiency and Investment Comparison of Monocrystalline, Polycrystalline, and Thin Film Solar Panel Types at Karabuk Conditions
Design of a Grid Connected PV System and Effect of Various Parameters on Energy Generation
Comparative Analysis of Harmonics by Shunt Active Filter using Resonant Current Control in Distribution System
Optimal Distributed Generation Placement for Maximum Loss Reduction using Teaching Learning Based Optimization through Matlab GUI
Development of Power Flow Controller for Grid Connected Renewable Energy Sources Using Lyapunov function
Detection and Location of Faults in Three Phase 11kv Underground Power Cables By Discrete Wavelet Transform (DWT)
Design of PV-Wind Hybrid Micro-Grid System for Domestic Loading
Applications of Artificial Neural Networks in various areas of Power System; A Review
Reliability assessment of a radial distribution system with a distributed generation is presented in this paper. Assessment of customer power supply reliability is an important part of distribution system operation and planning. DG distribution is likely to improve the reliability of a power distribution system by at least partially minimizing the chance of power interruptions to customers due to loss of utility generators or due to faults in transmission and distribution lines or equipment. DG is expected to improve the system reliability as its back up generation. Since, DG units are subject to failures like all other generation units, the random behavior of these units must be taken into account in the analysis. Existence of DG units in a distribution system will affect restoration time of load points. In this paper, an algorithm for assessing restoration time of load points for a radial distribution system with back up DG units is presented. A simple distributed load flow technique has been used for solving radial distribution network by placing DG and compared with base case. The location of DGs is attained based on the corresponding lowest voltage values at the particular load point. A sensitivity analysis is performed on a test system to examine the impact of DG units, their location and their number on reliability indices. The proposed approach is tested on an IEEE – 15 bus radial distribution system, the results are presented and analyzed.
With the fast growing information technologies, high efficiency AC-DC front-end power supplies are becoming more and more desirable in all kinds of distributed power system applications due to the energy conservation. However, the supply power factor in converters is low when output voltage is less than the maximum, as the firing angle is large. New recommendations and future standards have increased the interest in power factor correction (PFC) circuits. For improving power quality in terms of PFC, reduced total harmonic distortion at input AC mains and precisely regulated dc output in buck, boost, buck–boost and multilevel modes are cascaded to convert. This paper introduces a closed loop isolated bridgeless AC to DC converter with high power factor and compares different closed loop controls. The Closed loop control strategies using PI, PID and Fuzzy Logic Controllers are compared with simulated results.
Distribution system plays an important role in supplying the electricity from generation to the consumers via transmission system. The power system is one of the most complex systems in the world. Because of the high R/X value the losses in the distribution system is more. The one of the roles of capacitor is reducing the losses in the distribution system. This paper presents an improved method for capacitor placement with optimum size in radial distribution feeders to reduce the real power loss and to improve the voltage profile. In this paper, the total work is mainly divided in to three sections. In the first section load flow of the system. In the section –II location and size of the capacitors is determined by using Differential Evolution and In the section-III the results are compared with existing method which is proposed by the author.
This paper presents a Three-phase Non isolated Inter leaved boost converter (IBC) for high step up operation. Three-phase IBC has a number of boost converters connected in parallel with same switching frequency. Three-phase IBC are highly preferred to reduce the ripple current. A boost converter is used to clamp the voltage stresses of all the switches in the Inter leaved converter which is caused by the leakage inductance. This paper focuses on the leakage energies of the interleaved converter and are collected in a clamp capacitor and then recycled to the separate load by the clamp boost converter. Simulation and experiment results have been performed to understand the efficiency of three-phase IBC and the results have been validated.
Power quality (PQ) is an important issue to electricity consumers at all levels of usage. Specifically, industries requiring ultra-high availability of service and precision manufacturing systems are very sensitive to power quality problems. The very essential step before analyzing any power quality disturbances is detection. Recently, many power quality algorithms have been developed to detect and analyze different kind of power quality events or disturbances. In this paper investigations are carried out for different power quality issues using continuous and discrete time wavelet analysis.Results are simulated in MATLAB/SIMULINK.