Analysis and Impact of D-STATCOM, Static Var Compensator, Fuzzy Based SVC Controller on the Stability of a Wind Farm

2017 ◽  
Vol 8 (2) ◽  
pp. 935
Author(s):  
Kaoutar Rabyi ◽  
Hassane Mahmoudi
Keyword(s):  
Fuzzy Logic ◽  
Simulation Study ◽  
Wind Farm ◽  
Fuzzy Logic Controller ◽  
Reactive Power ◽  
Static Var Compensator ◽  
Electrical Grid ◽  
Active And Reactive Power ◽  
The Stability

In recent years, applications of facts systems have been developed for the compensation of active and reactive power. Facts systems are electronics devices that are connected to the wind farm. This paper presents the impacts of some of these devices on the stability of a wind farm, especially D-STATCOM, Static Var Compensator and Fuzzy SVC controller. First, a presentation of D-STATCOM, SVC, then fuzzy logic controller. In simulation study, the D-STATCOM ensures the stability of the voltage and current at the point of connection with the electrical grid. Finally, Comparing the SVC to the F-SVC simulations, we notice that the F-SVC is more performed than SVC for the compensation of the active and reactive power.

scholarly journals Simulation and Analysis of DFIG System with Wind Turbine Implementing Fuzzy Logic Control

2019 ◽  
Vol 8 (6) ◽  
pp. 2764-2771
Keyword(s):  
Fuzzy Logic ◽  
Wind Turbine ◽  
Fuzzy Logic Controller ◽  
Reactive Power ◽  
Current Control ◽  
Control Voltage ◽  
Active And Reactive Power ◽  
Grid Side ◽  
Rotor Side Converter ◽  
Grid Side Converter

A doubly-fed induction generator (DFIG) applied to wind power generation driven by wind turbine is under study for low voltage ride-through application during system unbalance. Use of DFIG in wind turbine is widely spreading due to its control over DC voltage and active and reactive power. Conventional dq axis current control using voltage source converters for both the grid side and the rotor side of the DFIG are analyzed and simulated. An improved control and operation of DFIG system under unbalanced grid voltage conditions by coordinating the control of both the rotor side converter (RSC) and the grid side converter (GSC) is done in this thesis. Simulation and analysis of DFIG system with wind turbine using Fuzzy logic controller for RSC and GSC under unbalanced condition is presented in the positive synchronous reference frame. The common DC-link voltage is controlled by grid side converter and control of DFIG’s stator output active and reactive power is controlled by rotor side converter. The steady-state operation of the DFIG and its dynamic response to voltage sag resulting from a remote fault on the 120-kV system is shown in this thesis using controllers. Modeling of DFIG system under Fuzzy logic controller to control voltage and active-reactive powers is done using MATLAB/SIMULINK.

scholarly journals Power quality improvement using fuzzy logic controller based unified power flow controller

2021 ◽  
Vol 21 (1) ◽  
pp. 1
Author(s):  
Ahmed Nasser Alsammak ◽  
Hasan Adnan Mohammed
Keyword(s):  
Fuzzy Logic ◽  
Power Quality ◽  
Power Flow ◽  
Fuzzy Logic Controller ◽  
Reactive Power ◽  
Unified Power Flow Controller ◽  
Active And Reactive Power ◽  
Reactive Power Flow ◽  
Flow Controller ◽  
Power Flow Controller

<p>The Power quality of the electrical system is an important issue for industrial, commercial, and housing uses. An increasing request for high quality electrical power and an increasing number of distorting loads had led to increase the consideration of power quality by customers and utilities. The development and use of flexible alternating current transmission system (FACTs) controllers in power transmission systems had led to many applications of these controllers. A unified power flow controller (UPFC) is one of the FACTs elements which is used to control both active and reactive power flow of the transmission line. This paper tried to improve power quality using a fuzzy logic controller (FLC) based UPFC, where it used to control both active and reactive power flow, decreas the total harmonic distortion (THD), correct power factor, regulate line voltage and enhance transient stability. A comparison study of the performance between the system with a conventional PID controller and FLC has been done. The theoretical analysis has been proved by implementing the system using MATLAB/SIMULINK package.The Power quality of the electrical system is an important issue for industrial, commercial, and housing uses. An increasing request for high quality electrical power and an increasing number of distorting loads had led to increase the consideration of power quality by customers and utilities. The development and use of flexible alternating current transmission system (FACTs) controllers in power transmission systems had led to many applications of these controllers. A unified power flow controller (UPFC) is one of the FACTs elements which is used to control both active and reactive power flow of the transmission line. This paper tried to improve power quality using a fuzzy logic controller (FLC) based UPFC, where it used to control both active and reactive power flow, decreas the total harmonic distortion (THD), correct power factor, regulate line voltage and enhance transient stability. A comparison study of the performance between the system with a conventional PID controller and FLC has been done. The theoretical analysis has been proved by implementing the system using MATLAB/SIMULINK package.</p>

scholarly journals Center of Pressure Feedback for Controlling the Walking Stability Bipedal Robots using Fuzzy Logic Controller

2018 ◽  
Vol 8 (5) ◽  
pp. 3678
Author(s):  
Afrizal Mayub ◽  
Fahmizal Fahmizal
Keyword(s):  
Fuzzy Logic ◽  
Degrees Of Freedom ◽  
Fuzzy Logic Controller ◽  
Center Of Pressure ◽  
Bipedal Robots ◽  
Bipedal Robot ◽  
Position Information ◽  
Pressure Feedback ◽  
The Stability ◽  
Foot Pad

This paper presents a sensor-based stability walk for bipedal robots by using force sensitive resistor (FSR) sensor. To perform walk stability on uneven terrain conditions, FSR sensor is used as feedbacks to evaluate the stability of bipedal robot instead of the center of pressure (CoP). In this work, CoP that was generated from four FSR sensors placed on each foot-pad is used to evaluate the walking stability. The robot CoP position provided an indication of walk stability. The CoP position information was further evaluated with a fuzzy logic controller (FLC) to generate appropriate offset angles to be applied to meet a stable situation. Moreover, in this paper designed a FLC through CoP region's stability and stable compliance control are introduced. Finally, the performances of the proposed methods were verified with 18-degrees of freedom (DOF) kid-size bipedal robot.<br /><br />

scholarly journals Fuzzy Logic Based Controller For Buck Converter

2019 ◽  
Vol 1 (3) ◽  
pp. 1-12
Author(s):  
Habibullah Salim ◽  
Irma Husnaini ◽  
Asnil Asnil
Keyword(s):  
Fuzzy Logic ◽  
Solar Cell ◽  
Output Voltage ◽  
Fuzzy Logic Controller ◽  
Pulse Generation ◽  
Buck Converter ◽  
Dc Voltage ◽  
Generation Technique ◽  
Fuzzy Logic Method ◽  
The Stability

This research aims to make buck converter prototype for PLTS system by using fuzzy logic controller. Buck converter is required in the PLTS system if the required unidirectional voltage is smaller than the output voltage of the solar cell. Buck converter used to convert 24 Volt dc voltage to 12 Volt dc with 60 watt capability. While fuzzy logic controller is used to improve buck converter performance based on pulse generation technique for switching. The application of fuzzy logic method is expected to improve the performance of the system by maintaining the stability of buck converter output voltage of 12 volts and reduce the output ripple value. Atmega8535 microcontroller is used to generate PWM pulses for switching on power circuits. The results obtained from the test using a 100 Ohm 5 Watt load obtained the buck converter output voltage of 12.4 Volt.

scholarly journals Fuzzy Logic Control for Low-Voltage Ride-Through Single-Phase Grid-Connected PV Inverter

Energies ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4796 ◽  
Author(s):  
Eyad Radwan ◽  
Mutasim Nour ◽  
Emad Awada ◽  
Ali Baniyounes
Keyword(s):  
Fuzzy Logic ◽  
Output Power ◽  
Single Phase ◽  
Reactive Power ◽  
Low Voltage ◽  
Operating Conditions ◽  
Pv System ◽  
Utilization Factor ◽  
Low Voltage Ride Through ◽  
Active And Reactive Power

This paper presents a control scheme for a photovoltaic (PV) system that uses a single-phase grid-connected inverter with low-voltage ride-through (LVRT) capability. In this scheme, two PI regulators are used to adjust the power angle and voltage modulation index of the inverter; therefore, controlling the inverter’s active and reactive output power, respectively. A fuzzy logic controller (FLC) is also implemented to manage the inverter’s operation during the LVRT operation. The FLC adjusts (or de-rates) the inverter’s reference active and reactive power commands based on the grid voltage sag and the power available from the PV system. Therefore, the inverter operation has been divided into two modes: (i) Maximum power point tracking (MPPT) during the normal operating conditions of the grid, and (ii) LVRT support when the grid is operating under faulty conditions. In the LVRT mode, the de-rating of the inverter active output power allows for injection of some reactive power, hence providing voltage support to the grid and enhancing the utilization factor of the inverter’s capacity. The proposed system was modelled and simulated using MATLAB Simulink. The simulation results showed good system performance in response to changes in reference power command, and in adjusting the amount of active and reactive power injected into the grid.

scholarly journals Stability Improvement of DFIG-Based Wind Farm Integrated Power System Using ANFIS Controlled STATCOM

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4707
Author(s):  
Varun Kumar ◽  
Ajay Shekhar Pandey ◽  
Sunil Kumar Sinha
Keyword(s):  
Power Systems ◽  
Power System ◽  
Wind Farm ◽  
Fuzzy Logic Controller ◽  
Stability Control ◽  
Frequency Domain Method ◽  
Damping Properties ◽  
Inference System ◽  
The Stability ◽  
Damping Controller

The stability of the control grid is a critical prerequisite for a safe and efficient power system service. A thorough knowledge of the effects of the power system volatility is essential for the effective study and control of power systems. This paper presents the simulation outcome of a multimachine power network implemented by a wind farm (WF) utilizing a static synchronous compensator (STATCOM) for better stability control objectives. A similarly aggregated double-fed induction generator (DFIG) powered by a gearbox analogy with an equally aggregated wind turbine (WT) determines the operating output of the wind farm. A proportional–integral–derivative controller (PID)-based damping controller, PID including Fuzzy Logic Controller (FLC), and an adaptive network-based fuzzy inference system (ANFIS) controller of the proposed SATCOM are intended to add sufficient damping properties to the dominating modes of the examined system during diverse working circumstances. To assess the feasibility of the suggested control schemes, a frequency-domain method concentrated on a linearized mathematical structure layout utilizing a time-domain strategy centered on a nonlinear configuration of the device that is subjected to severe fault on the attached bus was carried out consistently. A STATCOM damping controller is configured using the ANFIS method to apply appropriate damping properties to the device’s decisive modes being evaluated under various test conditions. From the findings of the comparative simulation, it can be inferred that the suggested STATCOM along with the planned ANFIS is seen as comparable to STATCOM with PID and STATCOM with PID plus FLC to increase the stability of the studied device.

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