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Related Concept Videos

Power System Distribution01:25

Power System Distribution

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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.
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There are several methods to control power flow in power systems:
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Fast Decoupled and DC Powerflow01:24

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The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
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Electric power is the product of current and voltage, represented in units of joules per second, or watts. For example, cars often have one or more auxiliary power outlets with which you can charge a cell phone or other electronic devices. These outlets may be rated at 20 amps and 12 volts, so that the circuit can deliver a maximum power of 240 watts. Consider a 25 Watt bulb and a 60 Watt bulb. The conversion of electrical energy produces heat and light, while the kinetic energy lost by the...
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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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Maximum Power Flow and Line Loadability01:23

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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.
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Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
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Blockchain-based multi-authority revocable data sharing scheme in smart grid.

Xiao-Dong Yang1, Ze-Fan Liao1, Bin Shu2

  • 1College of Computer Science and Engineering, Northwest Normal University, Lanzhou 730070, China.

Mathematical Biosciences and Engineering : MBE
|July 28, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a secure blockchain-based data sharing scheme for smart grids, improving encryption efficiency and enabling malicious user revocation. It enhances data integrity and resists collusion attacks for better smart grid security.

Keywords:
attribute-based encryptionblock-chaindata sharinghybrid encryptionsmart grid

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Smart Grid Technology

Background:

  • Current smart grid data sharing schemes suffer from inefficient encryption, lack of malicious user revocation, and inadequate data integrity checks.
  • Traditional schemes are vulnerable to collusive attacks and issues with semi-honest third-party servers.

Purpose of the Study:

  • To propose a novel blockchain-based multi-authority revocable data sharing scheme for smart grids.
  • To address the limitations of existing schemes by enhancing security, efficiency, and data integrity.

Main Methods:

  • Implemented online/offline and hybrid encryption for improved data owner encryption performance.
  • Utilized user binary tree technology for malicious user traceability and revocation.
  • Introduced multiple attribute authorization authorities to prevent collusive attacks.
  • Leveraged blockchain for uploading data verification credentials to mitigate semi-honest server issues.

Main Results:

  • The proposed scheme demonstrates enhanced encryption performance and efficient malicious user revocation.
  • Security analysis confirms resistance to selective plaintext and collusion attacks.
  • Performance analysis indicates lower computational overhead and superior functionality compared to existing schemes.

Conclusions:

  • The developed scheme offers a robust and efficient solution for secure data sharing in smart grids.
  • It effectively addresses key security and performance challenges in current smart grid data sharing practices.