BMOTSM: design of a hybrid bioinspired model to determine optimal turbine sizing for capacity maximisation in environment-and-economy aware deployments-Reference-Cited by-同舟云学术

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BMOTSM: design of a hybrid bioinspired model to determine optimal turbine sizing for capacity maximisation in environment-and-economy aware deployments

Published:2023-02-04 Issue:1 Volume:42 Page:25-40
ISSN:1478-6451
Container-title:International Journal of Sustainable Energy
language:en
Short-container-title:International Journal of Sustainable Energy

Author:

Shaha Radharaman¹²,Gidwani Lata³,Rao Komaragiri Venkata Subba²

Affiliation:

1. Department of Electrical Engineering, Tulsiramji Gaikwad-Patil College of Engineering and Technology, Nagpur, India

2. Department of Renewable Energy, Rajasthan Technical University, Kota, India

3. Department of Electrical Engineering, Rajasthan Technical University, Kota, India

Publisher

Informa UK Limited

Subject

Fluid Flow and Transfer Processes,Process Chemistry and Technology,General Energy,Fuel Technology,Renewable Energy, Sustainability and the Environment

Link

https://www.tandfonline.com/doi/pdf/10.1080/14786451.2023.2168001

Reference28 articles.

1. Optimal Placement of Wind Turbines in Wind Farm Layout Using Particle Swarm Optimization

2. A Hierarchical Inertial Control Scheme for Multiple Wind Farms With BESSs Based on ADMM

3. Electrical Layout Optimization of Onshore Wind Farms Based on a Two-Stage Approach

4. Mesoscale Wind Farm Placement via Linear Optimization Constrained by Power System and Techno-economics

5. Offshore Wind Power Generation Technologies

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