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

Control of Power Flow01:30

Control of Power Flow

301
There are several methods to control power flow in power systems:
301
The Power Flow Problem and Solution01:26

The Power Flow Problem and Solution

295
Power flow problem analysis is fundamental for determining real and reactive power flows in network components, such as transmission lines, transformers, and loads. The power system's single-line diagram provides data on the bus, transmission line, and transformer. Each bus k in the system is characterized by four key variables: voltage magnitude Vk​, phase angle δk​, real power Pk​, and reactive power Qk​. Two of these four variables are inputs, while the...
295
Load-frequency control01:28

Load-frequency control

226
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...
226
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

256
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:
256
Controller Configurations01:22

Controller Configurations

137
Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
137
PI Controller: Design01:24

PI Controller: Design

419
Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
419

You might also read

Related Articles

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

Sort by
Same author

Quality, reliability, and engagement of COPD-related videos on Chinese short-form video platforms: a cross-sectional content analysis.

Scientific reports·2026
Same author

Learning to Super-Resolve Face Images via Dual-Domain Multi-scale Feature Interaction.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

Evaluating the accuracy of sex estimation from human tooth volume: leveraging automated AI segmentation and comparative analysis of machine learning algorithms.

Head & face medicine·2026
Same author

Fatigue Failure Mechanism and Crack Growth Behavior of Ti-6Al-4V ELI Titanium Alloy Welded Joints.

Materials (Basel, Switzerland)·2026
Same author

A Fully Bio-Based Elastomer with Ultrahigh Lignin Content and Performance Rivaling Nitrile Rubber.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Nerve Growth Factor: A Multifaceted Regulator of Pain, Inflammation, and Tissue Remodeling in Bone and Joint Disorders.

Cell biochemistry and function·2026
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Aug 15, 2025

Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

2.5K

Research on Parameter Optimization Method of Sliding Mode Controller for the Grid-Connected Composite Device Based on

Ji Sun1, Jiajun Liu1, Miao Miao1

  • 1School of Electrical Engineering, Xi'an University of Technology, Xi'an 710048, China.

Sensors (Basel, Switzerland)
|January 8, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces sliding mode control (SMC) for grid-connected composite device (GCCD) controllers. An improved optimization algorithm enhances controller performance and dynamic response in power grids.

Keywords:
Python–PSCAD joint simulationback-to-back MMC-HVDCgrid-connected composite devicemoth-flame optimization algorithmsliding mode control

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

577
Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
09:01

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Published on: April 4, 2017

8.7K

Related Experiment Videos

Last Updated: Aug 15, 2025

Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

2.5K
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

577
Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
09:01

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Published on: April 4, 2017

8.7K

Area of Science:

  • Electrical Engineering
  • Control Systems Engineering
  • Power Electronics

Background:

  • Grid-connected composite devices (GCCDs) require robust controllers for diverse operating modes and grid conditions.
  • Existing GCCD controllers face challenges with complex structures and parameter tuning across multiple operational states.

Purpose of the Study:

  • To enhance the control performance of GCCDs by integrating sliding mode control (SMC).
  • To develop an advanced optimization algorithm for tuning SMC parameters in GCCD controllers.
  • To validate the effectiveness of the proposed control and optimization strategy through joint simulation.

Main Methods:

  • Mathematical modeling of the MMC converter within the GCCD framework.
  • Design of a sliding mode controller (SMC) based on established principles.
  • Development of an improved MFO (IMFO) algorithm incorporating GPS initialization and Levy flight for parameter optimization.
  • Python-PSCAD joint simulation for automatic tuning of control parameters using CITAE as the objective function.

Main Results:

  • The proposed IMFO algorithm demonstrates superior convergence speed and avoidance of local optima compared to traditional algorithms on standard test functions.
  • Optimized SMC parameters using IMFO significantly improve the dynamic performance of the GCCD.
  • The Python-PSCAD joint simulation successfully implements automatic tuning of control parameters.

Conclusions:

  • Sliding mode control, optimized by the IMFO algorithm, offers a robust solution for GCCD controllers.
  • The proposed IMFO algorithm effectively addresses parameter tuning challenges, enhancing controller efficiency.
  • The integrated approach provides a pathway for achieving superior dynamic performance in grid-connected power systems.