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Related Concept Videos

Zones of Protection01:16

Zones of Protection

423
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...
423
Multimachine Stability01:25

Multimachine Stability

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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:
254
Power System Three-Phase Short Circuits01:21

Power System Three-Phase Short Circuits

177
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...
177
Power System Distribution01:25

Power System Distribution

352
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...
352
Bus Impedance Matrix01:24

Bus Impedance Matrix

207
Calculating subtransient fault currents for three-phase faults in an N-bus power system involves using the positive-sequence network. When a three-phase short circuit occurs at a specific bus, the analysis uses the superposition method to evaluate two separate circuits.
In the first circuit, all machine voltage sources are short-circuited, leaving only the prefault voltage source at the fault location. The positive-sequence bus impedance matrix can be determined by solving the nodal equations,...
207
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

225
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.
225

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Smart Sensors for Smart Grid Reliability.

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Cyber-Physical Vulnerability Assessment in Smart Grids Based on Multilayer Complex Networks.

Monica Alonso1, Jaime Turanzas1, Hortensia Amaris1

  • 1Department of Electrical Engineering, University Carlos III of Madrid, 28911 Leganés, Madrid, Spain.

Sensors (Basel, Switzerland)
|September 10, 2021
PubMed
Summary

Smart grid cyber-physical security is enhanced by a new vulnerability assessment model. This approach identifies critical interdependencies between power grids and information and communication technology networks, improving resilience against attacks.

Keywords:
complex networkscyber-physical systemsmultilayer networksrobustnessscale-free graphsmart gridsvulnerability

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Area of Science:

  • Cyber-physical systems security
  • Complex network theory applications
  • Smart grid vulnerability assessment

Background:

  • Smart grid attacks increasingly target communication networks, disrupting power supply.
  • Existing vulnerability assessments often overlook cyber-physical interdependencies.
  • A holistic approach is needed to model smart grids as interconnected systems.

Purpose of the Study:

  • To develop a novel vulnerability assessment model for smart grids.
  • To represent the smart grid as a cyber-physical heterogeneous interconnected system.
  • To identify critical interdependencies between power (OT) and information and communication technology (ICT) networks.

Main Methods:

  • Utilizing multilayer complex network theory and scale-free graph models.
  • Modeling the cyber-physical system with interconnected physical power and ICT network models.
  • Applying centrality indexes from multilayer complex network theory to determine node criticality.
  • Incorporating measurement, communication, and control equipment into the model.

Main Results:

  • The proposed model effectively highlights hidden interdependencies between power and ICT networks.
  • Centrality indexes successfully identified critical nodes within the interconnected system.
  • The methodology demonstrated superior vulnerability detection compared to traditional assessments on power grids (OT).

Conclusions:

  • The developed cyber-physical model provides a more accurate representation of smart grid vulnerabilities.
  • This approach enhances the understanding of system interdependencies crucial for security.
  • The findings offer a robust framework for improving smart grid resilience against cyber-attacks.