scholarly journals Fuzzy Algorithm for Supervisory Voltage/Frequency Control of a Self Excited Induction Generator

10.14311/898 ◽  
2006 ◽  
Vol 46 (6) ◽  
Author(s):  
Hussein F. Soliman ◽  
Abdel-Fattah Attia ◽  
S. M. Mokhymar ◽  
M. A. L. Badr
Keyword(s):  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Frequency Control ◽  
Dynamic Performance ◽  
Pi Controller ◽  
Induction Generator ◽  
Wind Energy Conversion ◽  
Voltage Frequency ◽  
Terminal Voltage ◽  
Rising Time

This paper presents the application of a Fuzzy Logic Controller (FLC) to regulate the voltage of a Self Excited Induction Generator (SEIG) driven by Wind Energy Conversion Schemes (WECS). The proposed FLC is used to tune the integral gain (KI) of a Proportional plus Integral (PI) controller. Two types of controls, for the generator and for the wind turbine, using a FLC algorithm, are introduced in this paper. The voltage control is performed to adapt the terminal voltage via self excitation. The frequency control is conducted to adjust the stator frequency through tuning the pitch angle of the WECS blades. Both controllers utilize the Fuzzy technique to enhance the overall dynamic performance.  The simulation result depicts a better dynamic response for the system under study during the starting period, and the load variation. The percentage overshoot, rising time and oscillation are better with the fuzzy controller than with the PI controller type. 

scholarly journals Genetic Algorithm Based Control System Design of a Self-Excited Induction Generator

10.14311/812 ◽  
2006 ◽  
Vol 46 (2) ◽  
Author(s):  
A.-F. Attia ◽  
H. Soliman ◽  
M. Sabry
Keyword(s):  
Genetic Algorithm ◽  
Power Control ◽  
Reactive Power ◽  
Dynamic Performance ◽  
Input Power ◽  
The Self ◽  
Induction Generator ◽  
Reactive Control ◽  
Wind Energy Conversion ◽  
Terminal Voltage

This paper presents an application of the genetic algorithm (GA) for optimizing controller gains of the Self-Excited Induction Generator (SEIG) driven by the Wind Energy Conversion Scheme (WECS). The proposed genetic algorithm is introduced to adapt the integral gains of the conventional controllers of the active and reactive control loop of the system under study, where GA calculates the optimum value for the gains of the variables based on the best dynamic performance and a domain search of the integral gains. The proposed genetic algorithm is used to regulate the terminal voltage or reactive power control, by adjusting the self excitation, and to control the mechanical input power or active power control by adapting the blade angle of WECS, in order to adjust the stator frequency. The GA is used for optimizing these gains, for an active and reactive power loop, by solving the related optimization problem. The simulation results show a better dynamic performance using the GA than using the conventional PI controller for active and reactive control.

A Novel Approach for Load Frequency Control of Interconnected Thermal Power Stations

2012 ◽  
Vol 1 (2) ◽  
pp. 85-95 ◽  
Author(s):  
Yogendra Arya ◽  
H.D. Mathur ◽  
S.K. Gupta
Keyword(s):  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Frequency Control ◽  
Thermal Power ◽  
Load Frequency Control ◽  
System Response ◽  
Load Frequency ◽  
Power Stations ◽  
Novel Approach ◽  
Thermal Power Stations

This paper presents a fuzzy logic controller for load frequency control (LFC) of multi-area interconnected power system. The study has been designed for a three area interconnected thermal power stations with generation rate constraint (GRC). Simulation results of the proposed fuzzy controller are presented and it has been shown that proposed controller can generate the good dynamic response following a step load change. Robustness of proposed controller is achieved by analyzing the system response with varying system parameters.

Voltage and Frequency Control of Variable Speed Induction Generator using One Cycle Control Technique

2015 ◽  
Vol 6 (4) ◽  
pp. 723
Author(s):  
T. Elango ◽  
A.Senthil Kumar
Keyword(s):  
Frequency Control ◽  
Pi Controller ◽  
Control Technique ◽  
Induction Generator ◽  
Variable Speed ◽  
Zero Crossing ◽  
Power Generator ◽  
Induction Generators ◽  
Wind Power Generator ◽  
Electronic Load

Induction generators are widely used to extract the energy from renewable sources, particularly as a wind power generator either grid connected or isolated operation. The problem associated with stand-alone mode operation is voltage and frequency control. An electronic load controller is used for frequency / voltage control. It uses PI controller to generate the gating signal for the DC chopper. This method has the fault of bad dynamic response and thedistortion of output voltage at zero-crossing. To overcome the defect of PI controller when steady state error is equal to zero, a one cycle control technique suggested and implemented. Simulation of wind driven self-excited induction generator (SEIG) performance is studied and results are discussed.

scholarly journals STUDI ANALISIS GOVERNOR SEBAGAI LOAD FREQUENCY CONTROL PADA PLTG MENGGUNAKAN FUZZY LOGIC CONTROLLER

2018 ◽  
Vol 17 (1) ◽  
pp. 107
Author(s):  
Gusti Made Ngurah Christy Aryanata ◽  
I Nengah Suweden ◽  
I Made Mataram
Keyword(s):  
Fuzzy Logic ◽  
Power System ◽  
Fuzzy Logic Controller ◽  
Frequency Control ◽  
Pi Controller ◽  
Active Power ◽  
Load Frequency Control ◽  
Electrical Power System ◽  
Load Frequency ◽  
Frequency Changes

A good electrical power system is a system that can serve the load in a sustainable and stable voltage and frequency. Changes in frequency occur due to the demand of loads that change from time to time. The frequency setting of the PLTG power system depends on the active power charge in the system. This active power setting is done by adjusting the magnitude of the generator drive coupling. The frequency setting is done by increasing and decreasing the amount of primary energy (fuel) and carried on the governor. Simulation in governor analysis study as load frequency control at PLTG using fuzzy logic controller is done by giving four types of cultivation that is 0,1 pu, 0,2pu, 0,3 pu and 0,4 pu. The simulation is done to compare the dynamic frequency response output and the resulting stability time using fuzzy logic controller with PI controller. Based on the results of comparative analysis conducted to prove that governor as load frequency control using fuzzy logic control is better than using PI controller. This can be seen from the output response frequency and time stability.

Model DFIG Pembangkit Listrik Tenaga Angin Sebagai Suatu Unit Pembangkit Tersebar

2017 ◽  
Vol 8 (2) ◽  
pp. 55-60
Author(s):  
Ramadoni Syahputra ◽  
Imam Robandi ◽  
Mochamad Ashari
Keyword(s):  
Wind Turbine ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Control Unit ◽  
Voltage Regulation ◽  
Induction Generator ◽  
Machine Model ◽  
Worst Case ◽  
Matlab Simulink ◽  
Doubly Fed

In this paper, we present the doubly-fed induction generator (DFIG) model in a wind turbine system as a unit of the distributed generator. The wind turbine driven by doubly-fed induction machine is a part of the distributed generation which feeds ac power to the distribution network.  The system is modeled and simulated in the Matlab Simulink environment in such a way that it can be suited for modeling of all types of induction generator configurations. The model makes use of rotor reference frame using a dynamic vector approach for machine model. The fuzzy logic controller is applied to the rotor side converter for active power control and voltage regulation of wind turbine. Wind turbine and its control unit are described in details. All power system components and the fuzzy controller are simulated in Matlab Simulink software. For studying the performance of the controller, different abnormal conditions are applied even the worst case. Simulation results prove the excellent performance of the fuzzy controller unit as improving power quality and stability of the wind turbine.

Steady State Analysis Operation of Self-Excited Wound Rotor Induction Generator Under Constant Frequency and Tolerated Output Voltage

2016 ◽  
Vol 25 (06) ◽  
pp. 1650060 ◽  
Author(s):  
Selmi Mourad ◽  
Rehaoulia Habib
Keyword(s):  
Output Voltage ◽  
Frequency Control ◽  
Induction Generator ◽  
Prime Mover ◽  
Constant Frequency ◽  
Suitable Candidate ◽  
Wind Energy Conversion ◽  
Induction Generators ◽  
Rotor Resistance ◽  
The Poor

Self-excited induction generators (SEIG) are found to be most suitable candidate for wind energy conversion application required at remote windy locations. The major drawbacks of these generators are the poor voltage and frequency control under load and prime mover speed perturbations. In this paper, an attempt has been made to optimize the control strategy under various load and prime mover conditions, of the self-excited wound rotor induction generator (SEWRIG). By tolerating a slight deviation of the output voltage and ensuring a constant frequency with an adequate external rotor resistance, only four values of excitation capacitor are required for the whole range of operation. The effectiveness of the adopted strategy has been confirmed by comparing on a 0.8-[Formula: see text]kW wound rotor induction generator the simulated results to the corresponding obtained with an experimental test. A close agreement between the computed and experimental results confirms the efficiency of the adopted method.

Bioreactor Control Using Fuzzy Logic Controllers

2014 ◽  
Vol 573 ◽  
pp. 291-296 ◽  
Author(s):  
N. Arulmozhi
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Pi Controller ◽  
Superior Performance ◽  
Control Problems ◽  
Parameter Uncertainties ◽  
Control Techniques ◽  
Optimal Productivity ◽  
Input Multiplicities

Bioreactors are characterized by high nonlinearities and are often subjected to parameter uncertainties and disturbances. The control of such processes is often difficult to achieve with traditional linear control techniques. In the present work, a Fuzzy logic controller is designed in two versions to a Bioreactor which exhibits input multiplicities in dilution rate on productivity. Fuzzy controller and Fuzzy tuned PI controller is designed to translate the information obtained from the operator’s experiences for designing an automatic control system The Performance of proposed Fuzzy logic controller versions and conventional PI controller have been analyzed and evaluated. The two Fuzzy controller versions provide stable and faster responses than conventional PI controller. Thus, Fuzzy control is found to overcome the control problems of PI controller due to the input multiplicities near optimal productivity. It is interesting to note that the present fuzzy logic controller is giving superior performance. The process is tested with the MATLAB/SIMULINK and Fuzzy Logic Toolbox. The simulation results were presented which illustrate the validity of the method.

scholarly journals Intelligent Hybrid-Fuzzy Controller using VLLMS Based Shunt Active Filter

2020 ◽  
Vol 06 (09) ◽  
pp. 215-229
Author(s):  
Shaik Nagul Sharif and Sri Latha Veerla
Keyword(s):  
Power System ◽  
Fuzzy Logic Controller ◽  
Reactive Power ◽  
Fuzzy Controller ◽  
Pi Controller ◽  
Active Filter ◽  
Active Filters ◽  
Nonlinear Load ◽  
Shunt Active Filter ◽  
Non Linear

The power quality problem in the power system is increased with the use of non-linear devices. Due to the use of non-linear devices like power electronic converters, there is an increase in harmonic content in the source current. Due to this there is an increase in the losses, instability and poor voltage waveform. To mitigate the harmonics and provide the reactive power compensation, we use filters. There are different filters used in the power system. Passive filters provide limited compensation, so active filters can be used for variable compensation. In this work, a shunt active filter has been made adaptive using a Variable Leaky Least Mean Square (VLLMS) based controller. Proposed adaptive controller can be able to compensate for harmonic currents, power factor and nonlinear load unbalance. DC capacitor voltage has been regulated at a desired level using a PI controller and a self-charging circuit technique. But, this scheme as two disadvantages such as, tuning issues of current controller pre-requisites the traditional PI controller, which is controlled by intelligent based Hybrid-Fuzzy-Logic controller for achieving good performance features. The design concept of proposed intelligent Hybrid-Fuzzy controller for shunt active filter has been verified through simulation analysis and results are presented with proper comparisons.

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