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A hybrid equilibrium algorithm and pattern search technique for wind farm layout optimization problem.

Rizk M Rizk-Allah1, Aboul Ella Hassanien2

  • 1Department of Basic Engineering Science, Faculty of Engineering, Menoufia University, Shebin El-Kom 32511, Egypt.

ISA Transactions
|June 27, 2022
PubMed
Summary
This summary is machine-generated.

A new hybrid algorithm, equilibrium optimizer and pattern search (EO-PS), optimizes wind farm layouts for better energy utilization and lower costs. This method enhances wind farm design reliability and performance.

Keywords:
Equilibrium optimizerLayout optimizationMulti-objective optimizationPositioning problemWind turbine

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Area of Science:

  • Renewable Energy Engineering
  • Optimization Algorithms
  • Computational Science

Background:

  • Wind farm layout optimization is crucial for maximizing energy output and minimizing costs.
  • Existing methods face challenges in achieving accurate and reliable designs.

Purpose of the Study:

  • To introduce a novel hybrid algorithm, EO-PS, for wind farm layout optimization.
  • To enhance the efficiency and reliability of wind farm design processes.

Main Methods:

  • Hybridization of Equilibrium Optimizer (EO) and Pattern Search (PS) into the EO-PS algorithm.
  • Two-phase approach: EO for exploration and PS for exploitation.
  • Application to single and multi-objective optimization under various wind conditions.

Main Results:

  • The EO-PS algorithm demonstrated competitive performance against state-of-the-art methods.
  • Achieved high-quality and reliable solutions for wind farm layout optimization.
  • Successfully applied to irregular terrain in the Gulf of Suez-Red Sea, Egypt.

Conclusions:

  • The proposed EO-PS algorithm is effective for wind farm layout optimization.
  • It offers improved solution quality and reliability for practical wind farm planning.
  • The hybrid approach balances exploration and exploitation for superior results.