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

Power System Three-Phase Short Circuits01:21

Power System Three-Phase Short Circuits

142
Determining the subtransient fault current in a power system involves representing transformers by their leakage reactances, transmission lines by their equivalent series reactances, and synchronous machines as constant voltage sources behind their subtransient reactances. In this analysis, certain elements are excluded, such as winding resistances, series resistances, shunt admittances, delta-Y phase shifts, armature resistance, saturation, saliency, non-rotating impedance loads, and small...
142
Control of Power Flow01:30

Control of Power Flow

310
There are several methods to control power flow in power systems:
310
Three-Phase Short Circuit—Unloaded Synchronous Machine01:21

Three-Phase Short Circuit—Unloaded Synchronous Machine

221
Conducting a three-phase short circuit test on an unloaded synchronous machine helps understand its impact on the system. The AC fault current's oscillogram, with the DC offset removed, reveals that the waveform amplitude decreases from an initially high value to a steady-state level for one phase of the machine.
This behavior occurs due to the magnetic flux produced by the short-circuit armature currents. Initially, these currents follow high-reluctance paths but eventually shift to...
221
Power System Distribution01:25

Power System Distribution

307
Power system distribution involves delivering electrical energy from power plants to consumers through a network of transmission and distribution systems. The process begins at power plants, where energy from coal, gas, nuclear, water, and wind is converted into electrical energy. These plants use three-phase generators, typically rated between 50 to 1300 MVA, with terminal voltages ranging from a few kV to 20 kV, depending on the size and age of the units.
The transmission system is designed...
307
Power in a Three-Phase Circuit01:15

Power in a Three-Phase Circuit

413
Three-phase systems have two configurations: the wye and delta. A star configuration can be three or four wires; in a delta configuration, the components are connected in a closed loop. Instantaneous power refers to the power value at a precise moment, and in a balanced three-phase system, it is constant. This is because the sum of the instantaneous powers in the three phases remains steady over time, despite individual fluctuations, due to the symmetry and phase relationship. The total...
413
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

169
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.
169

You might also read

Related Articles

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

Sort by
Same author

Super-twisting sliding mode control for neutral point voltage of three-phase four-wire inverter based on SiC/Si hybrid switch.

ISA transactions·2023
Same author

Bi-directional impulse chaos control in crystal growth.

Chaos (Woodbury, N.Y.)·2021
Same author

Rössler-network with time delay: Univariate impulse pinning synchronization.

Chaos (Woodbury, N.Y.)·2020
Same author

An angiosarcoma in the breast associated with Kasabach-Merritt syndrome: Breast Images.

The breast journal·2020
Same author

Hyperchaos synchronization using univariate impulse control.

Physical review. E·2019
Same author

Spike-burst chimera states in an adaptive exponential integrate-and-fire neuronal network.

Chaos (Woodbury, N.Y.)·2019
Same journal

Neural network parameter identification-based prescribed-time adaptive control for morphing glide aircraft.

ISA transactions·2026
Same journal

Nonlinear system-guided continuous-time generalization for cross-aircraft engine state monitoring.

ISA transactions·2026
Same journal

Predefined-time distributed optimal formation control for constrained UAV-UGV systems.

ISA transactions·2026
Same journal

Fixed-time distributed secondary control for voltage/frequency restoration and power sharing in microgrids under switching topologies.

ISA transactions·2026
Same journal

A robust ATUB-Net for bearing fault diagnosis under unbalanced sample scenarios.

ISA transactions·2026
Same journal

Data-driven trajectory tracking control of UAV systems under a novel probability-selection event-triggered mechanism.

ISA transactions·2026
See all related articles

Related Experiment Video

Updated: Sep 3, 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

599

Robust model predictive power control for three-phase VSRs under unbalanced grid.

Xin Guo1, Hai-Peng Ren1

  • 1Xi'an University of Technology, 5 Jinhua Road, Xi'an City, Shaanxi Province, 710048, China.

ISA Transactions
|July 30, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a robust model predictive power control (RMPPC) for three-phase voltage source rectifiers (VSRs). The RMPPC method enhances performance under unbalanced grid voltage and parameter uncertainty, improving power quality.

Keywords:
Model predictive power controlParameters uncertaintyThree-phase VSRsUnbalanced gridWeights optimization

More Related Videos

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
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

1.8K

Related Experiment Videos

Last Updated: Sep 3, 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

599
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
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

1.8K

Area of Science:

  • Electrical Engineering
  • Power Electronics
  • Control Systems

Background:

  • Three-phase voltage source rectifiers (VSRs) face performance limitations due to unbalanced grid voltage and parameter uncertainty.
  • Controlling six power components with only four current variables presents an underactuated problem, challenging traditional methods like model predictive control (MPC).

Purpose of the Study:

  • To propose a robust model predictive power control (RMPPC) method for three-phase VSRs.
  • To address the challenges of unbalanced grid voltage and circuit parameter uncertainty.
  • To improve the power quality and control performance of VSRs.

Main Methods:

  • Developed a robust model predictive power control (RMPPC) strategy.
  • Utilized off-line optimized weights to balance control efforts for six power components under unbalanced grid conditions.
  • Incorporated a soft robust item with a time-variant boundary to create a robust predictive model for parameter uncertainty.

Main Results:

  • The proposed RMPPC method effectively balances the six power components of three-phase VSRs even with unbalanced grid voltage.
  • The RMPPC method demonstrates robustness against parameter uncertainty through a soft robust item.
  • Experimental comparisons show the RMPPC method achieves superior power quality, including a higher power factor and lower power oscillation, compared to VOC, DPC, and standard MPC.

Conclusions:

  • The proposed RMPPC method successfully overcomes the limitations of unbalanced grid voltage and parameter uncertainty in three-phase VSRs.
  • RMPPC offers improved power quality and control performance over existing methods.
  • The RMPPC method is a superior control strategy for practical VSR applications.