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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...
249
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:
344
Transformers with Off-Nominal Turns Ratios01:25

Transformers with Off-Nominal Turns Ratios

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In scenarios involving parallel transformers with disparate ratings, developing per-unit models requires accommodating off-nominal turns ratios. This situation arises when the selected base voltages are not proportional to the transformer’s voltage ratings. Consider a transformer where the rated voltages are related by the term a. If the chosen voltage bases satisfy a relationship involving term b, term c is defined as the ratio of these bases. This ratio is then substituted into the...
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Multimachine Stability01:25

Multimachine Stability

251
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:
251
Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

367
The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
367
Routh-Hurwitz Criterion I01:15

Routh-Hurwitz Criterion I

363
Consider an electrical power grid, where stability is essential to prevent blackouts. The Routh-Hurwitz criterion is a valuable tool for assessing system stability under varying load conditions or faults. By analyzing the closed-loop transfer function, the Routh-Hurwitz criterion helps determine whether the system remains stable.
To apply the Routh-Hurwitz criterion, a Routh table is constructed. The table's rows are labeled with powers of the complex frequency variable s, starting from the...
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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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Harris hawks optimization algorithm for model order reduction of interconnected wind turbines.

Ranadip Roy1, V Mukherjee2, Rudra Pratap Singh3

  • 1Department of Electrical Engineering, Sanaka Educational Trust's Group of Institutions, Durgapur, West Bengal, India.

ISA Transactions
|October 22, 2021
PubMed
Summary

This study demonstrates the Harris Hawks Optimization (HHO) method for simplifying complex wind turbine models. HHO achieves better stability and computational efficiency for reduced-order models in power systems.

Keywords:
Butterfly optimizationHarris hawks optimizationModel order reductionTransfer functionWind turbine

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Area of Science:

  • Electrical Engineering
  • Control Systems
  • Renewable Energy Systems

Background:

  • Accurate modeling of high-scale interconnected wind turbines is crucial for performance analysis and grid integration.
  • Model order reduction techniques are essential for managing the complexity of large-scale power systems.
  • Existing optimization techniques may face challenges in achieving robustness and efficiency for high-dimensional systems.

Purpose of the Study:

  • To investigate the analytical design and simulation performance of high-scale interconnected wind turbines using reduced-order models.
  • To evaluate the efficacy of the Harris Hawks Optimization (HHO) approach for model order reduction.
  • To compare the HHO method against state-of-the-art optimization techniques for higher-dimensional power systems.

Main Methods:

  • Development of a reduced-order model for high-scale interconnected wind turbines.
  • Application of the Harris Hawks Optimization (HHO) algorithm to optimize reduced-order transfer functions.
  • Comparative analysis of HHO performance against existing optimization methods in terms of stability and computational effort.

Main Results:

  • The HHO approach demonstrated improved stability and reduced computational effort compared to the higher-scale model.
  • HHO proved effective in achieving better results for reduced-order transfer functions in model order reduction studies.
  • The methodology showed enhanced effectiveness and robustness for higher-dimensional power systems.

Conclusions:

  • The Harris Hawks Optimization (HHO) is a promising technique for simplifying complex wind turbine models.
  • HHO offers significant advantages in stability and computational efficiency for reduced-order modeling of power systems.
  • The proposed method provides a robust and effective solution for analyzing high-dimensional interconnected wind turbine systems.