Y. Raju Babu ¹, P. Linga Reddy ¹

Affiliations
1 Department of EEE, KL University, Vaddeswaram, Guntur - 522502, Andhra Pradesh, IN

Abstract

The power generation from the fuel cell system is an electrochemical reaction between hydrogen and oxygen with the bi-product of water vapour molecule. But the output power from the solar system is very low for this numbers of cell are connected in series. This paper proposes a concept of boost inverter topology for converting fuel dc supply to a three phase supply. The main advantage of the proposed boost inverter method include ability to deliver the operations of both boosting and inversion of the power in only one stage, compactness, and economical. The output voltage from the fuel cell is a voltage controlled method and output from the battery is a current controlled method. Analysis and Simulation are taken from a 1kW prototype.

Keywords

Battery Storage System, Boost-Inverter, Fuel Cell Energy System

Full Text

   

A. Sai Subhadra ¹, P. Linga Reddy ², Shailesh B. Modi ³

Affiliations
1 KL University, Vaddeswaram - 522 502, Guntur, Andhra Pradesh, IN
2 Department of EEE, KL University, Vaddeswaram - 522 502, Guntur, Andhra Pradesh, IN
3 Department of EEE, ERDA, Vadodara - 390010, Gujarat, IN

Abstract

Objectives: One of the most crucial problems of distributed generation is islanding detection in power system. In this paper, the variation of frequency and THD value of voltage waveform at PCC will be studied for islanding detection diagnosis. Statistical Analysis: Islanding detection methods are classified as local and remote islanding detection. In that local methods are categorized as passive and active methods. These two methods are based on changing in parameters such as frequency, voltage and current harmonics. But these methods have some challenges such as reduction in power quality and large Non Detection Zone (NDZ) whereas remote methods doesn’t contains NDZ but not economically suitable for small networks. The studied system was considered by following the standard IEEE-1547 and UL-1741.This work is performed to determine islanding detection in power system. Findings: Whenever the grid disconnects from the power system there will be variations in frequency and THD value of voltage waveform at PCC. These variations will be taken as reference for islanding detection and generates trip signal for DG. Application/Improvements: This work is used in various power system applications. Simulation results using SIMULINK software on the power shows the effectiveness of proposed method.

Keywords

Distributed Generation (DG), Grid-Connected, Islanding Detection, Non Detection Zone (NDZ), Point of Common Coupling (PCC), Reactive Power Output, Total Harmonic Distortion (THD)

Full Text

   

B. Leelambika ¹, P. Linga Reddy ¹

Affiliations
1 Electrical and Electronics Engineering, KL University Greenfields, Vaddeswaram, Guntur District - 522502, Andhra Pradesh, IN

Abstract

Objectives: An Electric Vehicle (EV) charging station supplies electrical energy for the charging of Electric Vehicles. As the plug-in hybrid electric vehicle is expanding, there is a growing need for widely distributed publicly accessible charging stations. This paper defines Optimization method for equalize/match charging schedule of Electric vehicle with dynamic wind power availability. Methods/Statistical Analysis: Optimal charging cost and average running time are the major considerable constraints at equalization of dynamic wind power with EV load. Depending upon the remaining parking time, the EVs are aggregated to reduce the size of the problem. The proposed model innovatively incorporates the degree of equalization between EV charging load and Wind power into the objective function. Estimation of EV parking time affects the charging schedule, so it is a considerable factor for optimization. Findings: Particle Swarm Optimization (PSO) technique can optimize/reduce the scheduling problems and it can equalize dynamic behavior of wind power generation with respect to EV loads. Applications/Improvements: Computational efficiency and the average running time show the validation of the proposed technique.

Keywords

Electric vehicle, Wind power generation (WPG), Particle Swarm Optimization (PSO), smart grid.

Full Text

   

Burthi Loveswara Rao ¹, P. Linga Reddy ¹

Affiliations
1 Department of EEE, K L University, Guntur - 522502, Andhra Pradesh, IN

Abstract

Due to fuel crisis and increasing power demand, present days the power grid is interconnected with various renewable energy sources, among them wind energy is a vital and gifted source. DFIG is highly developed wind turbine generator due to their simplicity and low cost but the Power electronic convertors of DFIG are very sensitive to grid side faults. This article presents a new control approach with “Sen” Transformer (ST) for DFIG attached to grid at the time of faults. This ST is used to increase the voltage level of the stator to create the necessary magnetic field to maintain the rotor current under its transient rating. The Microcontroller Based Controlled Unit (MBCU) is monitors the voltage at grid and compensates the required voltage by changing proper taping of ST for continuous operation of DFIG. Simulation results disclose the rotor currents of DFIG stayed within acceptable range for Low Voltage Ride Through.

Keywords

DFIG Wind Turbine, LVRT, MBCU, ST, Series Voltage Compensation, Symmetrical Grid Fault.

Full Text

   

V. Vaishnavi ¹, P. Linga Reddy ¹

Affiliations
1 Electrical and Electronics Engineering, K L University, Vaddeswaram, Guntur District - 520002, Andhra Pradesh, IN

Abstract

Standalone hybrid systems are need of the hour in electrical power sector. The reactive power support is most vital issue in the voltage point of view.Wind energy has received the special attention of researchers in recent times. Attempts to generate electricity from wind energy have been made since the end of nineteenth century. A single renewable energy source may not be able to meet the load demands apart from the fact that continuous supply of energy may not be ensured. Here comes the importance of Hybrid energy systems such as Wind-diesel, Wind-PV.Advanced FACTS technologies have utilized for reactive power support to the system. The fuzzy logic has implemented in the control circuit of STATCOM which is relatively advantageous compared to conventional PI controller. The control strategy is verified through model simulation study whose results conform the significance of the control methodology incorporated in the paper.

Keywords

Permanent Magnet Induction Generator (PMIG), Static Synchronous Compensator (STATCOM), Synchronous Generator (SG), Wind–diesel Hybrid System.

Full Text