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

Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

300
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:
300
Control of Power Flow01:30

Control of Power Flow

317
There are several methods to control power flow in power systems:
317
Load-frequency control01:28

Load-frequency control

267
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...
267
Generator Voltage Control01:21

Generator Voltage Control

248
Generator voltage control is crucial for maintaining the stable operation of synchronous generators and wind turbines. In older models, a DC generator driven by the rotor delivers DC power to the rotor's field winding, and the power is transferred through slip rings and brushes. In the latest models, static or brushless exciters are used. Static exciters rectify AC power from the generator terminals and then transfer the DC power directly to the rotor. Brushless exciters, on the other hand,...
248
Multimachine Stability01:25

Multimachine Stability

234
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
234
Turbine-Governor Control01:17

Turbine-Governor Control

401
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...
401

You might also read

Related Articles

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

Sort by
Same author

Phenotypic expansion and structural analysis of the IQSEC2 p.Asp894Asn variant in a consanguineous Pashtun family.

Neurogenetics·2026
Same author

Corrigendum to in vivo effects of a selected thiourea derivative 1-(2-chlorobenzoyl)-3-(2,3-dichlorophenyl) against nociception, inflammation and gastric ulcerogenicity: Biochemical, histopathological and in silico approaches [Biomed. Pharmacother. 174 (2024) 116544].

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie·2026
Same author

Adaptive quantum inspired deep reinforcement learning for multi objective low carbon CCHP optimization.

Scientific reports·2026
Same author

Warming-acidification synergy amplifies plastisphere-mediated nitrous oxide emissions.

Journal of environmental management·2026
Same author

A passive mechanically tunable conformal aperture coupled phase shifter integrated with micron-sized magnetic particles for radar systems.

Scientific reports·2026
Same author

Gabapentsal ameliorate cisplatin-induced vomiting in pigeons: neurochemical evidences and the involvement of serotonin and dopamine modulation.

Scientific reports·2026
Same journal

Application of ephrin-B2 loaded glycol chitosan-silk fibroin hydrogel in the treatment of diabetic refractory wounds.

Scientific reports·2026
Same journal

International expert Delphi consensus on thromboprophylaxis in metabolic and bariatric surgery.

Scientific reports·2026
Same journal

Assessing the cross-region knowledge transfer capability of selected deep learning building vectorization methods in the context of available training datasets.

Scientific reports·2026
Same journal

Feasibility and preliminary effects of outdoor versus indoor cognitive-motor therapy in women with Alzheimer's disease: A randomized single-blind pilot study.

Scientific reports·2026
Same journal

Hallmarks of social action in the vocal turn-taking of wild common marmosets (Callithrix jacchus).

Scientific reports·2026
Same journal

Role and mechanism of AOPPs-induced NOX4-mediated ferroptosis in intervertebral disc degeneration.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Sep 17, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.8K

Automatic generation control optimization for power system resilience under real world load variations using genetic

Muhammad Ayaz1, Dur-E-Zehra Baig2, Syed Muhammad Hur Rizvi3

  • 1Pak-Austria Fachhochschule Institute of Applied Sciences and Technology, Haripur, 21090, Pakistan.

Scientific Reports
|July 2, 2025
PubMed
Summary
This summary is machine-generated.

Genetic Algorithm-Optimized PID (GA-PID) significantly enhances Automatic Generation Control (AGC) stability for power systems facing wide load variations. GA-PID outperforms conventional methods, ensuring faster stabilization and improved accuracy during load changes.

More Related Videos

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

621
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.1K

Related Experiment Videos

Last Updated: Sep 17, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.8K
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

621
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.1K

Area of Science:

  • Electrical Engineering
  • Control Systems
  • Power Systems

Background:

  • Modern power systems require robust Automatic Generation Control (AGC) to maintain stability against sudden load fluctuations.
  • Assessing AGC performance under diverse and significant load variations is crucial for reliable grid operation.

Purpose of the Study:

  • To comprehensively evaluate the performance of three AGC control strategies under a wide range of load variations (100-300 MW increments/decrements).
  • To compare Conventional AGC (CAGC), Tie-Line Bias (TLB) Control, and Genetic Algorithm-Optimized PID (GA-PID) in a two-area interconnected power system.

Main Methods:

  • Simulated a two-area interconnected power system subjected to 12 distinct load change scenarios (100-300 MW).
  • Assessed CAGC, TLB, and GA-PID control strategies across all scenarios, conducting a total of 360 tests.
  • Performance metrics included overshoot, undershoot, settling time, and steady-state accuracy for both system areas.

Main Results:

  • GA-PID demonstrated superior performance in minimizing transient deviations and ensuring faster stabilization compared to CAGC and TLB.
  • GA-PID reduced overshoot by up to 90% for load increases and eliminated undershoot in several cases.
  • CAGC and TLB exhibited weaknesses with larger disturbances, leading to prolonged oscillations and significant deviations.

Conclusions:

  • GA-PID is a highly effective and flexible control strategy for modern power systems requiring resilience to unpredictable load changes.
  • The findings underscore the importance of advanced control methods like GA-PID for maintaining power system stability and reliability.