An Effective MPPT Controller for Power Optimization of PMSG Based Wind Turbine

2021 ◽  
Author(s):  
Ali Shan Sayed ◽  
Mazhar Hussain Baloch ◽  
Ali Asghar Memon ◽  
Munsif Ali Jatoi ◽  
Baqir Ali Mirjat ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Power Optimization ◽  
Mppt Controller

Power Optimization for Adaptive Wind Turbine: Case Study on Islanded and Grid Connected

2014 ◽  
Vol 9 (4) ◽  
pp. 835 ◽  
Author(s):  
Soedibyo Soedibyo ◽  
Ribka Stephani ◽  
Aprilely Ajeng Fitriana ◽  
Ratih Mar’atus Sholihah ◽  
Primaditya Sulistijono
Keyword(s):  
Wind Turbine ◽  
Power Optimization

The lazy greedy algorithm for power optimization of wind turbine positioning on complex terrain

Energy ◽  
2015 ◽  
Vol 80 ◽  
pp. 567-574 ◽  
Author(s):  
M.X. Song ◽  
K. Chen ◽  
X. Zhang ◽  
J. Wang
Keyword(s):  
Wind Turbine ◽  
Greedy Algorithm ◽  
Complex Terrain ◽  
Power Optimization

scholarly journals Editorial on Special Issue “Wind Turbine Power Optimization Technology”

Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1796
Author(s):  
Francesco Castellani ◽  
Davide Astolfi
Keyword(s):  
Wind Turbine ◽  
Wind Turbines ◽  
Wind Farm ◽  
Power Optimization ◽  
Turbine Blades ◽  
Energy Yield ◽  
Optimization Approach ◽  
Special Issue ◽  
Wind Turbine Blades ◽  
Industry Practice

This Special Issue collects innovative contributions in the field of wind turbine optimization technology. The general motivation of the present Special Issue is given by the fact that there has recently been a considerable boost of the quest for wind turbine efficiency optimization in the academia and in the wind energy practitioners communities. The optimization can be focused on technology and operation of single turbine or a group of machines within a wind farm. This perspective is evidently multi-faced and the seven papers composing this Special Issue provide a representative picture of the most ground-breaking state of the art about the subject. Wind turbine power optimization means scientific research about the design of innovative aerodynamic solutions for wind turbine blades and of wind turbine single or collective control, especially for increasing rotor size and exploitation in offshore environment. It should be noticed that some recently developed aerodynamic and control solutions have become available in the industry practice and therefore an interesting line of development is the assessment of the actual impact of optimization technology for wind turbines operating in field: this calls for non-trivial data analysis and statistical methods. The optimization approach must be 360 degrees; for this reason also offshore resource should be addressed with the most up to date technologies such as floating wind turbines, in particular as regards support structures and platforms to be employed in ocean environment. Finally, wind turbine power optimization means as well improving wind farm efficiency through innovative uses of pre-existent control techniques: this is employed, for example, for active control of wake interactions in order to maximize the energy yield and minimize the fatigue loads.

scholarly journals Multi objective reactive power and voltage optimization of distribution network based on adaptive genetic annealing algorithm

2020 ◽  
Vol 185 ◽  
pp. 01042
Author(s):  
Yong Yang ◽  
Lei Chen ◽  
Weiyan Zheng ◽  
Xinquan Wei ◽  
Guangxian Lv ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Optimization Model ◽  
Reactive Power ◽  
Power Optimization ◽  
Distribution Network ◽  
Reactive Power Optimization ◽  
Capacitor Switching ◽  
Annealing Algorithm ◽  
Line Loss ◽  
Node Voltage

In this paper, a multi-objective reactive power optimization model of distribution network is established, which takes the minimum of line loss, reactive compensation capacitor switching loss and node voltage deviation as objective, considering the constraints of node voltage, reactive power of wind turbine, capacitor switching times. The improved adaptive genetic annealing algorithm is used to solve the model. IEEE33 system is taken as an example to verify the effectiveness of the reactive power optimization model. When the shunt capacitor and wind turbine are in the optimal reactive power compensation, the line loss of the distribution network can be minimized.

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