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Related Concept Videos

Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

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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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Power Factor Correction01:20

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The power transmission to a factory involves the transfer of apparent power, a combination of active and reactive power. The power factor measures how effectively electrical power is converted into useful work output. The ratio of the real power (KW) that does the work to the apparent power (KVA) supplied to the circuit.
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Energy Losses in Transformers01:21

Energy Losses in Transformers

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In an ideal transformer, it is assumed that there are no energy losses, and, hence, all the power at the primary winding is transferred to the secondary winding. However, in reality,  the transformers always have some energy losses, and, hence, the output power obtained at the secondary winding is less than the input power at the primary winding due to energy losses.
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The Power Flow Problem and Solution01:26

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Power flow problem analysis is fundamental for determining real and reactive power flows in network components, such as transmission lines, transformers, and loads. The power system's single-line diagram provides data on the bus, transmission line, and transformer. Each bus k in the system is characterized by four key variables: voltage magnitude Vk​, phase angle δk​, real power Pk​, and reactive power Qk​. Two of these four variables are inputs, while the...
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There are several methods to control power flow in power systems:
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Conservation of AC Power01:15

Conservation of AC Power

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The principle of power preservation is applicable to both ac and dc circuits. This principle, when applied to AC power, asserts that the complex, real, and reactive powers produced by the source are equal to the total complex, real, and reactive powers absorbed by the loads. When two load impedances are connected in parallel to an ac source V, the complex power provided by the source can be calculated using the relation
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AI-aided power electronic converters automatic online real-time efficiency optimization method.

Yuanhong Tang1,2, Di Cao1, Jian Xiao3,4

  • 1Power System Wide-area Measurement and Control Sichuan Provincial Key Laboratory, School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.

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Summary
This summary is machine-generated.

Artificial intelligence (AI) optimizes power electronics converters in real-time for improved energy efficiency. This automated approach, using a dual active bridge converter, significantly reduces energy losses and moves towards zero carbon emissions.

Keywords:
Artificial intelligenceAutomatic online real-time explorationDC-DC converterDual active bridge converterEnergy conversion systemPower electronics

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Area of Science:

  • Electrical Engineering
  • Artificial Intelligence
  • Power Electronics

Background:

  • Energy losses in electric power conversion and supply are significant but difficult to quantify.
  • Nonlinearity and complexity of energy conversion systems limit efficiency improvements.

Purpose of the Study:

  • To introduce an artificial intelligence (AI)-aided automatic online real-time optimization concept for power electronics converters.
  • To demonstrate this concept using a dual active bridge (DAB) converter.

Main Methods:

  • An optimal modulation strategy was developed through autonomous, around-the-clock experiments on a practical DAB converter platform.
  • A deep deterministic policy gradient (DDPG) algorithm drove 120,000 experiments over 71 hours within a six-variable space.

Main Results:

  • The AI-aided method achieved significantly improved power conversion and supply efficiency.
  • Autonomous, real-time optimization demonstrated the effectiveness of the DDPG algorithm in a complex experimental setup.

Conclusions:

  • AI-driven automatic online real-time optimization is a pioneering approach for enhancing power electronics efficiency.
  • This method holds potential for achieving zero carbon emissions in future power supply systems.