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Related Concept Videos

Wind Turbine Machine Models01:24

Wind Turbine Machine Models

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In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
175
Design Example: Calculating Safe Diameter for Wind-Exposed Disc01:17

Design Example: Calculating Safe Diameter for Wind-Exposed Disc

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Assessing safety in wind-exposed installations is crucial to preventing potential failures. This example explores the calculation and design adjustments needed to mount a circular disc on a building facade, where wind forces are a primary concern. A 4-meter diameter disc was initially designed as an aesthetic feature facing winds at a velocity of 25 meters per second, with an air density of 1.25 kilograms per cubic meter. Given these conditions, the drag force on the disc was determined using...
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Turbine-Governor Control01:17

Turbine-Governor Control

297
Turbine-governor control is crucial for maintaining power system stability by balancing turbine mechanical power output with electrical load demand. This mechanism ensures that generator frequency and rotor speed are within acceptable limits during load variations. Turbine-generator units store kinetic energy due to their rotating masses; this energy is released to meet the load requirement when the load increases. The electrical torque of turbines rises to meet the demand, whereas the...
297
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

245
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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Generation of Three-Phase Voltage01:21

Generation of Three-Phase Voltage

423
A three-phase AC generator has a rotor with a rotating magnet placed within the stator mounted with the stationary three-phase winding to generate three-phase voltages via mutual induction. These windings are evenly distributed around the inner circumference of the stator and are arranged 120 electrical degrees apart. Three-phase stator windings consist of three separate coils or groups of coils, known as phases, each connected in Y (star) configuration or Delta configuration.
As the rotor...
423
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

142
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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Related Experiment Video

Updated: Jul 28, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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Wind farm layout optimization through optimal wind turbine placement using a hybrid particle swarm optimization and

Tarique Anwar Qureshi1, Vilas Warudkar2

  • 1Department of Mechanical Engineering, M.A.N.I.T, Bhopal, India. taqmanit@gmail.com.

Environmental Science and Pollution Research International
|May 31, 2023
PubMed
Summary

A new hybrid algorithm (HPSOGA) optimizes wind farm layouts for maximum energy output. This method effectively balances particle swarm optimization and genetic algorithm to overcome complex challenges in wind farm layout optimization.

Keywords:
Genetic algorithmParticle swarm optimizationWind farmWind farm layout optimizationWind turbine

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Area of Science:

  • Renewable Energy Engineering
  • Computational Intelligence
  • Optimization Algorithms

Background:

  • Wind turbine (WT) placement and configuration significantly impact wind farm (WF) performance and energy output.
  • Key design considerations include wind speed, direction, and inter-turbine spacing.
  • Effective wind farm layout optimization (WFLO) is crucial for maximizing power generation.

Purpose of the Study:

  • To propose a novel hybrid algorithm, hybrid particle swarm optimization and genetic algorithm (HPSOGA), for optimized wind farm layout.
  • To enhance energy output and consistency in wind farm performance through advanced optimization.
  • To address challenges posed by multiple local optima in WFLO problems.

Main Methods:

  • Development of HPSOGA, combining Particle Swarm Optimization (PSO) for broad exploration and Genetic Algorithm (GA) for refined solutions.
  • A two-phase framework where PSO optimizes initial parameters, followed by GA-driven parameter adjustment for improved fitness.
  • Utilizing the Jenson-Wake model for wake effect analysis and incorporating total WT cost and WF power output into the objective function.

Main Results:

  • HPSOGA demonstrated superior performance compared to other methods (GA, BPSO-TVAC, L-SHADE, BRCGA, EO-PS) in terms of total output power generation.
  • The algorithm effectively handles problems with multiple local optima, leading to more consistent and optimized layouts.
  • Simulation results validated the reliability and effectiveness of HPSOGA for wind farm layout optimization.

Conclusions:

  • HPSOGA is a highly effective hybrid algorithm for wind farm layout optimization.
  • The proposed method significantly improves total output power generation compared to existing algorithms.
  • The framework offers a reliable approach to maximizing wind farm efficiency and energy yield.