Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Zones of Protection

Zones of Protection

In power systems, the entire setup is divided into protective zones to isolate faults and protect the rest of the network. These zones include generators, transformers, buses, transmission lines, distribution lines, and motors. Each zone can be visualized as a separate room in a house, with each room protected by its own circuit breaker.
Protective zones are defined by closed dashed lines, containing one or more components. A key characteristic of these zones is the strategic placement of...

Masking and Demasking Agents

Masking and Demasking Agents

EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on...

Line Protection with Impedance Relays

Line Protection with Impedance Relays

Coordinating time-delay overcurrent relays in complex radial systems and directional overcurrent relays in multi-source transmission loops can be challenging. Impedance relays address these issues by responding to the voltage-to-current ratio, specifically measuring the apparent impedance of a line. These relays become more sensitive during faults as current increases and voltage decreases, thereby reducing the apparent impedance.
Under normal conditions, low load currents keep the measured...

Multi-input and Multi-variable systems

Multi-input and Multi-variable systems

Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...

Transformers in Distribution System

Transformers in Distribution System

Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...

Multimachine Stability

Multimachine Stability

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:

You might also read

Related Articles

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

Sort by

Same author

A fault classification scheme based on protective agents for microgrid with parameters impact analysis.

Scientific reports·2025

Same author

Development and construction of a portable wind tunnel for investigating wind erosion through the application of photogrammetry techniques.

Scientific reports·2025

See all related articles

Search research articles

Related Experiment Video

Updated: Jan 16, 2026

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

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

Published on: October 14, 2017

An intelligent protection scheme for DC networks using a machine learning-based multi-agent platform.

Saman Esmaeilbeigi¹, Hossein Kazemi Karegar², Amirhossein Akbarisharif³

¹Faculty of Electrical Engineering, Shahid Beheshti University, Tehran, Iran. s_esmaeilbeigi@sbu.ac.ir.

Scientific Reports

|September 26, 2025

Summary

This summary is machine-generated.

This study introduces a novel multi-agent artificial intelligence system for protecting DC microgrids (DCMGs). The advanced scheme precisely classifies and locates faults, enhancing grid stability and safety.

Keywords:

DC microgrids Decision tree Deep neural networks Fault detection Fault location Multi-agent-based protection Support vector machine

More Related Videos

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Related Experiment Videos

Last Updated: Jan 16, 2026

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

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

Published on: October 14, 2017

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Area of Science:

Electrical Engineering
Power Systems
Artificial Intelligence

Background:

DC microgrids (DCMGs) integration is increasing, posing unique protection challenges due to inverter-based generation.
Conventional protection methods are insufficient for DCMGs' distinct fault current characteristics.

Purpose of the Study:

To propose a novel multi-agent-based protection scheme for DC microgrids (DCMGs).
To develop and evaluate three distinct artificial intelligence-driven fault classification and location approaches.

Main Methods:

A multi-agent system with equipment, substation, and system layers was designed.
Machine learning algorithms (SVM, DT) and Deep Neural Networks (DNNs) were employed for fault classification and location.
Simulations were performed using DIgSILENT, MATLAB, and Python (TensorFlow/Keras).

Main Results:

The proposed scheme demonstrated high efficacy in fault detection and location.
The three fault classification approaches achieved precise fault identification and pinpointed fault locations.
Deep Neural Networks showed enhanced training proficiency for fault classification.

Conclusions:

The developed multi-agent protection scheme is effective for DCMGs.
The AI-based fault detection, classification, and location approaches are reliable and accurate.
The study confirms the potential of AI in safeguarding modern power systems.