scholarly journals Controller design for DFIG‐based WT using gravitational search algorithm for wind power generation

2021 ◽  
Author(s):  
Om Prakash Bharti ◽  
Kumari Sarita ◽  
Aanchal Singh S. Vardhan ◽  
Akanksha Singh S. Vardhan ◽  
R. K. Saket
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Controller Design ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Wind Power Generation ◽  
Gravitational Search

scholarly journals Influence of Wind Power on Modeling of Bidding Strategy in a Promising Power Market with a Modified Gravitational Search Algorithm

2021 ◽  
Vol 11 (10) ◽  
pp. 4438
Author(s):  
Satyendra Singh ◽  
Manoj Fozdar ◽  
Hasmat Malik ◽  
Maria del Valle Fernández Moreno ◽  
Fausto Pedro García Márquez
Keyword(s):  
Wind Power ◽  
Electricity Market ◽  
Large Scale ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Optimization Methods ◽  
Bidding Strategy ◽  
Wind Speed Profile ◽  
Gravitational Search ◽  
Modified Gravitational Search Algorithm

It is expected that large-scale producers of wind energy will become dominant players in the future electricity market. However, wind power output is irregular in nature and it is subjected to numerous fluctuations. Due to the effect on the production of wind power, producing a detailed bidding strategy is becoming more complicated in the industry. Therefore, in view of these uncertainties, a competitive bidding approach in a pool-based day-ahead energy marketplace is formulated in this paper for traditional generation with wind power utilities. The profit of the generating utility is optimized by the modified gravitational search algorithm, and the Weibull distribution function is employed to represent the stochastic properties of wind speed profile. The method proposed is being investigated and simplified for the IEEE-30 and IEEE-57 frameworks. The results were compared with the results obtained with other optimization methods to validate the approach.

Research on Optimal Gradient - Climbing Algorithm in Wind Power Generation

2013 ◽  
Vol 385-386 ◽  
pp. 1100-1103 ◽  
Author(s):  
Qiang Zhao ◽  
Chang Cui
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Search Algorithm ◽  
Buck Converter ◽  
Wind Power Generation ◽  
Generation System ◽  
Load Impedance ◽  
Point Tracking ◽  
Power Generation System ◽  
Step Climbing

Maximum power point tracking for wind power generation system fixed step climbing algorithm prone to miscalculation and oscillation shortcomings. Adaptive improved optimal gradient method is put forward to overcome the shortcomings and optimize the existing fixed step climbing algorithm. By Controlling Buck Converter duty radio rapidly match between wind power generation system and load impedance. The simulation result shows that the anti-interference and convergence of the improved hill-climb search algorithm is better than that of the traditional one.

The Application of Improved Hill-Climb Search Algorithm in Wind Power Generation

2013 ◽  
Vol 46 (20) ◽  
pp. 263-267 ◽  
Author(s):  
Hua Li ◽  
Qun Li ◽  
Xu Jiang ◽  
Ying Ruan ◽  
Wenhui Huang
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Search Algorithm ◽  
Wind Power Generation
Sign in / Sign up

Export Citation Format

Share Document