Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Load-frequency control01:28

Load-frequency control

93
Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
93
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

128
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
128
Wind Turbine Machine Models01:24

Wind Turbine Machine Models

86
In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
86
Power Factor Correction01:20

Power Factor Correction

142
The power transmission to a factory involves the transfer of apparent power, a combination of active and reactive power. The power factor measures how effectively electrical power is converted into useful work output. The ratio of the real power (KW) that does the work to the apparent power (KVA) supplied to the circuit.
142
Turbine-Governor Control01:17

Turbine-Governor Control

114
Turbine-governor control is crucial for maintaining power system stability by balancing turbine mechanical power output with electrical load demand. This mechanism ensures that generator frequency and rotor speed are within acceptable limits during load variations. Turbine-generator units store kinetic energy due to their rotating masses; this energy is released to meet the load requirement when the load increases. The electrical torque of turbines rises to meet the demand, whereas the...
114
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

87
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
87

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Fuzzy logic sliding mode controller based solar PV fed UPQC for improvement of dynamic performance and power quality enhancement in distribution power system.

Scientific reports·2026
Same author

A new MPPT mechanism based on multi-verse optimization algorithm tuned FLC for photovoltaic systems.

Scientific reports·2024
Same author

Analysis of transmission line modeling routines by using offsets measured least squares regression ant lion optimizer in ORPD and ELD problems.

Heliyon·2023
See all related articles

Related Experiment Video

Updated: May 10, 2025

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
06:04

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

144

Optimizing weak grid integrated wind energy systems using ANFIS-SRF controlled DSTATCOM.

Peram Venkata Ramana1, K Mercy Rosalina2

  • 1Department of EEE, Vignan's Foundation for Science, Technology and Research, Guntur, India. Peramvenkataramana23@gmail.com.

Scientific Reports
|April 21, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces an adaptive neuro-fuzzy inference system (ANFIS) controller for improved power quality in wind energy systems connected to weak grids. The ANFIS-SRF controller enhances stability and reduces harmonics, ensuring reliable renewable energy integration.

Keywords:
Adaptive neuro fuzzy interference system (ANFIS)Distribution static compensator (DSTATCOM)Synchronous reference frame (SRF)Weak gridWind energy source

More Related Videos

A Guide to Concentration Alternating Frequency Response Analysis of Fuel Cells
11:18

A Guide to Concentration Alternating Frequency Response Analysis of Fuel Cells

Published on: December 11, 2019

6.6K
Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

1.5K

Related Experiment Videos

Last Updated: May 10, 2025

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
06:04

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

144
A Guide to Concentration Alternating Frequency Response Analysis of Fuel Cells
11:18

A Guide to Concentration Alternating Frequency Response Analysis of Fuel Cells

Published on: December 11, 2019

6.6K
Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

1.5K

Area of Science:

  • Electrical Engineering
  • Renewable Energy Systems
  • Intelligent Control Systems

Background:

  • Weak grids face challenges integrating wind energy, including voltage fluctuations and harmonic distortions.
  • Conventional controllers lack real-time adaptability for dynamic grid conditions.
  • Distribution static compensators (DSTATCOMs) are crucial for grid stability but require advanced control.

Purpose of the Study:

  • To propose an intelligent control strategy for enhancing power quality in wind energy systems connected to weak grids.
  • To develop an adaptive neuro-fuzzy inference system (ANFIS) based synchronous reference frame (SRF) controller for DSTATCOM.
  • To demonstrate the superiority of the ANFIS-SRF controller over traditional methods in weak grid scenarios.

Main Methods:

  • Implementation of an ANFIS-based SRF control strategy for DSTATCOM.
  • Utilizing ANFIS for dynamic adjustment of reactive power compensation, harmonic mitigation, and voltage stabilization.
  • Employing simulation to validate the controller's performance under various load and wind conditions.

Main Results:

  • Reduced grid voltage total harmonic distortion from 11.26% to 9.83% (non-linear loads) and 4.97% to 2.64% (mixed loads).
  • Improved power factor to above 0.98.
  • Maintained grid voltage and current stability under varying wind conditions, complying with IEEE 1547 and IEEE 519-2014 standards.

Conclusions:

  • The ANFIS-SRF controlled DSTATCOM effectively enhances power quality and stability in weak grids.
  • The proposed intelligent control strategy offers superior performance compared to traditional methods for wind energy integration.
  • This research contributes a self-learning, real-time adaptive solution for increased grid stability and renewable energy penetration.