Multi-objective grey wolf optimization of solar chimneys based on an improved model incorporating a wind turbine power curve

2021 ◽  
Vol 239 ◽  
pp. 114231
Author(s):  
Ali Habibollahzade ◽  
Iman Fakhari ◽  
Saeed Mohsenian ◽  
Hossein Aberoumand ◽  
Robert A. Taylor
Keyword(s):  
Wind Turbine ◽  
Power Curve ◽  
Grey Wolf ◽  
Grey Wolf Optimization ◽  
Multi Objective ◽  
Improved Model

Wind Power Curve Modeling with Hybrid Copula and Grey Wolf Optimization

2021 ◽  
pp. 1-1
Author(s):  
Danxiang Wei ◽  
Jianzhou Wang ◽  
Zhiwu Li ◽  
Rui Wang
Keyword(s):  
Wind Power ◽  
Power Curve ◽  
Grey Wolf ◽  
Grey Wolf Optimization ◽  
Curve Modeling

scholarly journals Multi-Objective Grey Wolf Optimization for Optimal Allocation of Distributed Generators in Distribution Networks

2020 ◽  
Vol 9 (3) ◽  
pp. 664-670
Keyword(s):  
Radial Distribution ◽  
Power Loss ◽  
Distribution Network ◽  
Distribution Networks ◽  
Optimal Placement ◽  
Grey Wolf ◽  
Grey Wolf Optimization ◽  
Real Power ◽  
Multi Objective ◽  
Distributed Generators

The power loss in the radial distribution network is appreciable as compared to transmission network. To reduce the power loss in distribution network which is radial in nature, the solution methodology adopted in this paper is optimal placement of distributed generators (DG). The optimization incorporated is Multi-objective Grey Wolf Optimization (MOGWO). The optimization is accomplished for three different cases. In each case two objective functions are simultaneously optimized to obtain non-dominated solutions using Multi-objective Grey Wolf Optimization. Case (1): To minimize the real power loss and maximize the savings obtained due to DG installation. Case (2): To minimize real power loss and maximum voltage deviation in the network. Case (3): To minimize real power loss and rating of DG installed. MOGWO method maintains an archive which contains pareto-optimal solutions. The archive mimics the behaviour of grey wolves. MOGWO method is verified on radial distribution networks. The effectiveness of the optimization method is proven by comparing the results with other optimization methods available in the literature.

scholarly journals Multi-Objective Grey Wolf Optimization Algorithm for Solving Real-World BLDC Motor Design Problem

2022 ◽  
Vol 70 (2) ◽  
pp. 2435-2452
Author(s):  
M. Premkumar ◽  
Pradeep Jangir ◽  
B. Santhosh Kumar ◽  
Mohammad A. Alqudah ◽  
Kottakkaran Sooppy Nisar
Keyword(s):  
Optimization Algorithm ◽  
Real World ◽  
Design Problem ◽  
Bldc Motor ◽  
Grey Wolf ◽  
Grey Wolf Optimization ◽  
Multi Objective ◽  
Motor Design
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