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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...
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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.
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FDIPP: False Data Injection Prevention Protocol for Smart Grid Distribution Systems.

Hosam Hittini1, Atef Abdrabou1, Liren Zhang2

  • 1Department of Electrical Engineering, UAE University, Al-Ain, Abu Dhabi 15551, UAE.

Sensors (Basel, Switzerland)
|January 30, 2020
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Summary
This summary is machine-generated.

A new protocol prevents false data injection in smart grids. This enhances system integrity and prevents damage by ensuring accurate power grid status information.

Keywords:
communication architecturedistribution systemintegritysecuritysmart grid

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Area of Science:

  • Electrical Engineering
  • Computer Science
  • Cybersecurity

Background:

  • Smart grid distribution systems face threats from false data injection.
  • Ensuring data and system integrity is crucial for reliable power grid operation.
  • Existing communication architectures may not adequately support security protocols.

Purpose of the Study:

  • To propose a false data injection prevention protocol (FDIPP) for smart grid distribution systems.
  • To introduce a novel hierarchical communication network architecture for smart grids.
  • To evaluate the impact of FDIPP on communication network performance.

Main Methods:

  • Development of the false data injection prevention protocol (FDIPP).
  • Design of a hierarchical communication network architecture tailored for smart grids.
  • Intensive computer simulations to assess protocol performance and network impact.

Main Results:

  • The proposed FDIPP effectively prevents packet injection, duplication, alteration, and rogue node access.
  • The hierarchical communication architecture is scalable and meets IEC 61850-90-1 packet delay requirements.
  • Minimal packet loss was observed with FDIPP security overhead considered.

Conclusions:

  • The proposed FDIPP and hierarchical architecture enhance smart grid security and reliability.
  • The system ensures data integrity, preventing disruptions and asset damage.
  • The solution is scalable and meets stringent communication standards for smart grids.