scholarly journals Design and Construction of Model Battery Charging Control for Stand-alone self-Excited Induction Generator

In this paper, design and construction of model battery charging control for stand-alone wind driven self-excited induction generator SEIG) is present. Apart from an energy transfer function from wind turbine (WT) with stand-alone SEIG, the proposed model battery charging control can also be an active power in linear loads with stand-alone for a three-phase four wire system. Initially, mathematical modeling of the wind turbine with stand-alone SEIG is given. The simulation based on mathematical equations obtained from the model provides electrical characteristics of the wind turbine source that which will be use as the battery charging control input of the inverter. Secondly, the main system has been virtually create in order to actualize the conversion from DC to AC and the main power circuit employs insulated gate bipolar transistors (IGBTs) formed in a three-phase full bridge. Thirdly, the control circuit is discuss and has been design and the control method used is voltage control with microcontroller for stand-alone linear loads that is simple. Finally, the obtained results are discusses in order to verify the correct operation as the system is designed.

2015 ◽  
Vol 21 ◽  
pp. 619-624 ◽  
Author(s):  
Anjana Jain ◽  
S.N. Balaji ◽  
Mayank Singh Chandel ◽  
Sreedhar S. ◽  
G. Srilekha

Author(s):  
B.Murali Mohan ◽  
M.Pala Prasad Reddy ◽  
M. Lakshminarayana

<p class="Default"><span lang="EN-US">In this paper, a straightforward strategy for tracking the maximum power (MP) accessible in the wind energy conversion system for dc microgrid is proposed. A three-phase diode bridge rectifier alongside a dc-dc converter has been utilized between the terminals of wind-driven induction generator and dc microgrid. Induction generator is being worked in self-energized mode with excitation capacitor at stator. The output current i.e., dc grid current act as a control variable to track the MP in the proposed WECS. In this manner, the proposed calculation for maximum power point tracking (MPPT) is autonomous of the machine and wind-turbine parameters. Further, a technique has been created for deciding the obligation proportion of the dc-dc converter for working the proposed system in MPPT condition utilizing wind turbine qualities, relentless state proportionate circuit of prompting generator and power balance in power converters. Circuit straightforwardness and basic control calculation are the significant points of interest of the proposed setup for supplying energy to the dc microgrid from WECS. The fruitful working of the proposed calculation for Fuzzy logic based  MPPT has been shown with broad exploratory results alongside the simulated values.</span></p>


Author(s):  
Ajay Kumar Shukla ◽  
◽  
Anil Kumar Kurchania ◽  

The generation of electricity through a wind turbine system is rapidly increasing. Generation of an electricity form a wind turbine is one of the preeminent renewables sources of energy as it is easily available. In many wind farms, the speed of wind is variable due to which achieving stable power output and fault detection is one of the challenges. This objective can be achieved by a doubly fed induction generator (DFIG) along with the use of a fuzzy -PID controller and two fault detection technique in WTs. This Paper shows an investigation of the fault’s detection and improvement in the DFIG model for the constant/stable power output. This model design to show DFIG 9MW (6 x 1.5) along with a 30 km transmission line and the Frequency used for RLC specification is 60 Hz. Asynchronous machine in plant of 1.68 MW, 0.93 power factor, and 2300V line voltage with mechanical power 3 x 103 W. The initial constant wind speed of 15 ms-1 is maintained. Two fault detectors, one phase fault at B25 (25 kV) before the transmission to three-phase two winding transformer. Other phase faults at B120 (120 kV) before the transmission to three phase mutual inductance. The fault actuator in the doubly fed induction generators are reliable and also maintains the safety of wind turbine connected with a grid. PID-Fuzzy Controller is introduced to regulate the speed of the rotor by adjusting pitch which controls speed changes. The result shows due to controlling of pitch angle output level is improved and a good quality factor is achieved. We have introduced a fuzzy controller so the maximum output power can be established to the grid at the trip. In this research work, mathematical modeling of DFIG is presented.


2018 ◽  
Vol 6 (6) ◽  
Author(s):  
Mahmoud Essam M. Harby ◽  
Aboubakr Salem ◽  
S. E. Elmasry ◽  
Adel El Samahy ◽  
Helmy Elzoghby

The renewable energy systems are going to take over most of the non-renewable energy systems, so many scientific efforts are being made to ensure the stability and reliability of the renewable energy systems. This paper is concerned about the wind energy systems and ensuring their behavior and performance during and after the abnormalities like fault ride-through. Two complete models of a grid connected wind systems are going to be simulated in the MATLAB software program, the first one will be a grid connected wind turbine driving a three-phase squirrel-cage induction generator (SCIG) and the other model will be a grid connected wind turbine driving a three-phase doubly-fed induction generator (DFIG). The frequency of each system will be displayed and compared to the frequency of the other system upon fault ride-through (three-phase short-circuit fault) and under the effect of the PID controller which is tuned by genetic algorithm technique. The different responses of both generators are going to be analyzed graphically and compared to each other upon the ride-through fault and under the effect of the designed controller (genetic algorithm PID controller). 


2019 ◽  
Vol 3 (1) ◽  
pp. 118-126 ◽  
Author(s):  
Prihangkasa Yudhiyantoro

This paper presents the implementation fuzzy logic control on the battery charging system. To control the charging process is a complex system due to the exponential relationship between the charging voltage, charging current and the charging time. The effective of charging process controller is needed to maintain the charging process. Because if the charging process cannot under control, it can reduce the cycle life of the battery and it can damage the battery as well. In order to get charging control effectively, the Fuzzy Logic Control (FLC) for a Valve Regulated Lead-Acid Battery (VRLA) Charger is being embedded in the charging system unit. One of the advantages of using FLC beside the PID controller is the fact that, we don’t need a mathematical model and several parameters of coefficient charge and discharge to software implementation in this complex system. The research is started by the hardware development where the charging method and the combination of the battery charging system itself to prepare, then the study of the fuzzy logic controller in the relation of the charging control, and the determination of the parameter for the charging unit will be carefully investigated. Through the experimental result and from the expert knowledge, that is very helpful for tuning of the  embership function and the rule base of the fuzzy controller.


2017 ◽  
Vol 10 (1) ◽  
pp. 56 ◽  
Author(s):  
Zakaria Sabiri ◽  
Nadia Machkour ◽  
Nabila Rabbah ◽  
Mohammed Nahid ◽  
Elm'kaddem Kheddioui

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