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Related Concept Videos

Power Factor Correction01:20

Power Factor Correction

465
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.
465
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 Factor01:11

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The power factor is defined as the ratio of average (or active) power to apparent power, as illustrated by the relation
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Time-Domain Interpretation of PD Control01:07

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Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
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The Power Flow Problem and Solution01:26

The Power Flow Problem and Solution

781
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 power flow program computes...
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Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

574
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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Power quality enhancement using fractional order type-2 fuzzy SHAF optimized with hPSOFA algorithm.

Alok Kumar Mishra1, Jeevan Jyoti Mahakud2, Sushanta Kumar Kamilla3

  • 1Department of EEE, ITER, SOADU, Bhubaneswar, Odisha, India. alokmishra@soa.ac.in.

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|December 13, 2025
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Summary

This study introduces a novel Shunt Hybrid Active Filter (SHAF) for effective Reactive Power & Harmonic compensation (RPHC). The proposed controller significantly outperforms traditional methods, validated experimentally for enhanced power quality.

Keywords:
PFSRPHCSHAFT2FFOPIDCTHDhPSOFA

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Area of Science:

  • Power Engineering
  • Electrical Engineering
  • Control Systems

Background:

  • Traditional passive filters are impractical for multi-harmonic mitigation.
  • Active power filters offer better performance but are costly.
  • Need for advanced solutions for Reactive Power & Harmonic compensation (RPHC).

Purpose of the Study:

  • Introduce a Shunt Hybrid Active Filter (SHAF) for RPHC.
  • Develop an optimized Type-2 Fuzzy Fractional Order PID Controller (T2FFOPIDC) for enhanced performance.
  • Compare the proposed SHAF with a Type-1 Fuzzy system.

Main Methods:

  • Utilized Kalman Filter (KF) for reference current estimation.
  • Employed a hybrid Particle Swarm Optimization (PSO) Firefly Algorithm (hPSOFA) for controller parameter tuning.
  • Implemented a novel compensation strategy requiring source-side current.

Main Results:

  • The hPSOFA-T2FFOPIDC-based SHAF demonstrated superior RPHC compared to the hPSOFA-T1FFOPIDC-based SHAF.
  • Validated performance across balanced and unbalanced nonlinear loads.
  • Experimental validation using dSPACE confirmed effectiveness.

Conclusions:

  • The proposed hPSOFA-T2FFOPIDC-SHAF offers superior RPHC performance.
  • The novel controller design and optimization strategy are effective.
  • The system shows promise for improving power quality in electrical systems.