Optimal placement of fixed hub height wind turbines in a wind farm using twin archive guided decomposition based multi-objective evolutionary algorithm

Author:

Raju M Sri Srinivasa,Mohapatra PrabhujitORCID,Dutta Saykat,Mallipeddi RammohanORCID,Das Kedar Nath

Funder

Ministry of Education

National Research Foundation of Korea

CHEO Research Institute

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference64 articles.

1. Investigating the Power-COE trade-off for wind farm layout optimization considering commercial turbine selection and hub height variation;Abdulrahman;Renew. Energy,2017

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3. An enhanced decomposition-based evolutionary algorithm with adaptive reference vectors;Asafuddoula;IEEE Trans. Cybern.,2018

4. SMS-EMOA: multiobjective selection based on dominated hypervolume;Beume;Eur. J. Oper. Res.,2007

5. Optimization of wind turbine rotor diameters and hub heights in a windfarm using differential evolution algorithm;Biswas,2017

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