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Related Concept Videos

Secondary Distribution01:25

Secondary Distribution

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...
Primary Distribution01:28

Primary Distribution

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.
Power System Distribution01:25

Power System Distribution

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...
SFG Algebra01:16

SFG Algebra

In Signal Flow Graph (SFG) algebra, the value a node represents is determined by the sum of all signals entering that node. This summed value is then transmitted through every branch leaving the node, making the SFG a powerful tool for visualizing and analyzing control systems.
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Nodal Analysis with Voltage Sources01:11

Nodal Analysis with Voltage Sources

Nodal analysis is a remarkably effective method used in electrical engineering to simplify the analysis of complex circuits, including those with dependent or independent voltage sources. Its strength lies in its systematic approach to breaking down circuits into manageable components, making it easier for engineers to understand and solve.
Consider a circuit that contains four resistors and two voltage sources, as shown in Figure 1. One of these voltage sources is connected between a...
Transformers in Distribution System01:27

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...

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Related Experiment Videos

A Method for Multimodal Information Extraction and Knowledge Graph Construction in Substation Secondary System.

Wenting Zha1, Yue Liu1, Dengrui Peng1

  • 1School of Mechanical and Electrical Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China.

Entropy (Basel, Switzerland)
|June 26, 2026
PubMed
Summary

This study introduces a novel method for extracting and integrating multimodal information from substation secondary systems. The approach constructs a structured knowledge graph, enhancing data management and decision-making in complex industrial environments.

Keywords:
information extractionknowledge graphmulti-source information alignmentsubstation secondary system

Related Experiment Videos

Area of Science:

  • Electrical Engineering
  • Computer Science
  • Data Science

Background:

  • Substation secondary systems generate high-entropy, disordered multi-source heterogeneous data.
  • Challenges exist in cross-modal information integration and efficient retrieval.
  • Structured processing is needed for effective data management.

Purpose of the Study:

  • To propose a method for multimodal information extraction and knowledge graph construction.
  • To enable structured processing of heterogeneous data from multiple sources.
  • To support information management and decision-making in complex industrial systems.

Main Methods:

  • Image data processed using YOLOv8n and Optical Character Recognition (OCR) for positional and semantic extraction.
  • Heuristic Circular Stepping Search Algorithm (HCSA) for deterministic path tracing of information flows.
  • RoFormer-BiLSTM-CRF model with Rotary Position Embedding (RoPE) for accurate text entity and relationship extraction.
  • Domain ontology mapping and string similarity for aligning device entities across modalities.
  • Construction of a structured knowledge graph from scattered data.

Main Results:

  • Effective extraction of multimodal information from substation secondary systems.
  • Successful construction of a structured knowledge graph.
  • Demonstrated value in supporting information management and decision-making.
  • High-accuracy extraction of entities and relationships from text data.
  • Mitigation of effects from uncertain topology and noise interference.

Conclusions:

  • The proposed method effectively addresses challenges in processing heterogeneous substation data.
  • The knowledge graph construction facilitates structured data utilization.
  • The approach provides valuable support for complex industrial system management.