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Related Concept Videos

Power Factor Correction01:20

Power Factor Correction

305
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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Load-frequency control01:28

Load-frequency control

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Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
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Control of Power Flow01:30

Control of Power Flow

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There are several methods to control power flow in power systems:
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Generator Voltage Control01:21

Generator Voltage Control

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Generator voltage control is crucial for maintaining the stable operation of synchronous generators and wind turbines. In older models, a DC generator driven by the rotor delivers DC power to the rotor's field winding, and the power is transferred through slip rings and brushes. In the latest models, static or brushless exciters are used. Static exciters rectify AC power from the generator terminals and then transfer the DC power directly to the rotor. Brushless exciters, on the other hand,...
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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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Multimachine Stability01:25

Multimachine Stability

263
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:
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A Multifunctional Smart Meter Using ANN-PSO Flux Estimation and Harmonic Active Compensation with Fuzzy Voltage

Edson A Batista1, Moacyr A G de Brito1, João C Siqueira1

  • 1Graduation Program in Electrical Engineering, Federal University of Mato Grosso do Sul-UFMS, PPGEE, Campo Grande 79070-900, MS, Brazil.

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This study developed a versatile smart meter with power filtering and motor control capabilities. It integrates advanced algorithms and hardware for efficient, reliable performance in electrical systems.

Keywords:
APFFPGAartificial neural networkbidirectional measurementfuzzysmart meter

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Area of Science:

  • Electrical Engineering
  • Power Electronics
  • Embedded Systems

Background:

  • Smart meters are crucial for modern energy management.
  • The need for integrated functionalities like power filtering and motor control in a single device is increasing.
  • Existing solutions often lack the comprehensive integration and advanced control strategies presented in this work.

Purpose of the Study:

  • To develop and analyze a comprehensive electronic smart meter.
  • To integrate four-quadrant measurement, active power filtering, and motor control functionalities.
  • To implement secure remote data access and advanced control algorithms.

Main Methods:

  • Utilized a three-phase shunt active power filter (APF) design.
  • Employed artificial neural networks trained with particle swarm optimization for stator flux estimation.
  • Implemented a fuzzy logic controller for DC bus voltage regulation.
  • Embedded control functions into a field-programmable gate array (FPGA) using VHDL.
  • Applied FPGA-in-the-loop cosimulation and experimental evaluations.

Main Results:

  • Successfully developed a smart meter with integrated four-quadrant measurement, APF, and motor control.
  • Achieved efficient and high-speed control through FPGA implementation.
  • Demonstrated the reliability and functionality of the integrated system via cosimulation and experiments.
  • Enabled secure remote data access using Transmission Control Protocol/Internet Protocol (TCP/IP).

Conclusions:

  • The developed smart meter offers a novel, multidisciplinary solution for advanced electrical system management.
  • The integration of multiple functions and advanced control techniques enhances efficiency and reliability.
  • The FPGA implementation ensures high performance and paves the way for practical applications.