Related Experiment Video
Updated: Nov 3, 2025
08:05
Design and Analysis for Fall Detection System Simplification
Published on: April 6, 2020
10.9K
Topology identification in distribution system via machine learning algorithms
Peyman Razmi1, Mahdi Ghaemi Asl2, Giorgio Canarella3
1Faculty of Engineering, Ferdowsi University of Mashhad, Khorasan Razavi, Mashhad, Iran.
Plos One
|June 1, 2021
Summary
This study introduces a machine learning approach for topology identification in distribution networks. It analyzes voltage profiles to detect changes in switching devices without needing extra sensors.
Area of Science:
- Electrical Engineering
- Power Systems Analysis
- Machine Learning Applications
Background:
- Topology identification (TI) in distribution networks is crucial for grid management.
- Limited measurements in distribution networks pose a significant challenge for traditional TI methods.
- Accurate detection of switching device status is vital for real-time grid monitoring.
Purpose of the Study:
- To propose a novel approach for topology identification (TI) in distribution systems.
- To leverage supervised machine learning (SML) algorithms for analyzing voltage profiles.
- To enable TI without relying on additional sensors or measurement devices.
Main Methods:
- Utilized supervised machine learning (SML) algorithms for data analysis.
- Analyzed the voltage profile of distribution system feeders.
- Implemented the methodology on the ANSI standard case study for validation.
Main Results:
- Demonstrated the capability of machine learning to track feeder voltage profile behavior.
- Successfully detected the status of switching devices within the distribution system.
- Identified distribution system typologies and estimated connected/disconnected load values.
Conclusions:
- The proposed SML-based method effectively performs topology identification using only voltage profiles.
- This approach overcomes the challenge of limited measurements in distribution networks.
- Machine learning offers a powerful tool for enhancing distribution system monitoring and control.
Related Concept Videos
01:25Distribution Reliability and Automation
214
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
214
01:25Secondary Distribution
212
Secondary distribution systems provide electrical energy at the utilization voltage levels from distribution transformers to customer meters. Typical secondary voltages in the United States include 120/240 V for residential use, 208Y/120 V for residential and commercial use, and 480Y/277 V for industrial and high-rise commercial use.
In residential areas, 120/240 V single-phase, three-wire service is commonly used for lighting, outlets, and large appliances. Urban areas with high-density loads...
In residential areas, 120/240 V single-phase, three-wire service is commonly used for lighting, outlets, and large appliances. Urban areas with high-density loads...
212
01:28Primary Distribution
215
Primary distribution systems deliver electrical power from substations to consumers through various voltage classes, with 15-kV class voltages being predominant among U.S. utilities. Older 2.5- and 5-kV classes are being replaced by 15-kV primaries, while higher 25- to 34.5-kV classes are used in high-density urban areas and rural regions with long feeders. Three-phase, four-wire multigrounded systems are widely employed for balanced power delivery, using the neutral wire as a grounding point.
215
01:26Classification of Systems-I
380
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
380
01:27Transformers in Distribution System
225
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...
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...
225
01:21Distributed Loads: Problem Solving
863
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
863