Research on Optimal Operation of Wind Power-Pumped Storage Joint System Based on Improved Bat Algorithm

Author(s):  
Wen-xia You ◽  
Di Zhao ◽  
Mao-mao Wang
2011 ◽  
Vol 81 (9) ◽  
pp. 1767-1777 ◽  
Author(s):  
Álvaro Jaramillo Duque ◽  
Edgardo D. Castronuovo ◽  
Ismael Sánchez ◽  
Julio Usaola

2015 ◽  
Vol 785 ◽  
pp. 627-631 ◽  
Author(s):  
Hei Wei ◽  
Rasyidah Mohamed Idris

Datong area has abundant wind energy. Due to problem in large scale of wind power grid connection, this paper introduces virtual power plant concept. As for beginning, power source characteristics of the wind farm, pumped storage power station and the thermal power plant are taken for analysis. Three types of different power plants are chosen to represent the virtual power plant modeling as well as adopting the NSGA2 optimization. As a conclusion, this case study proved that virtual power plant can increase the benefits of each power plant and the wind power plant output power curve become smoother.


2014 ◽  
Vol 602-605 ◽  
pp. 2897-2900
Author(s):  
Si Qing Sheng ◽  
Xiao Xia Sun

This paper presents a multi-objective optimization model to solve the volatility and anti load characteristic of wind power. The pumped storage power station is introduced in this paper. Though pumping and watering, the pumped storage power station can cut peak down to smooth the wind power. Given to the economical efficiency of wind farm, operation efficiency of the wind storage joint system is investigated. In order to improve the wind rate, minimize abandon wind is employed in objective function. To demonstrate the effectiveness of the proposed model, a practical example is tested. The result shows that this model is feasible and effective.


2016 ◽  
Vol 41 (46) ◽  
pp. 21057-21066 ◽  
Author(s):  
Stephen Carr ◽  
Fan Zhang ◽  
Feng Liu ◽  
Zhaolong Du ◽  
Jon Maddy

2013 ◽  
Vol 14 (3) ◽  
pp. 207-218 ◽  
Author(s):  
Kazuki Ogimi ◽  
Shota Kamiyama ◽  
Michael Palmer ◽  
Atsushi Yona ◽  
Tomonobu Senju ◽  
...  

Abstract In order to solve the problems of global warming and depletion of energy resource, renewable energy systems such as wind generation are getting attention. However, wind power fluctuates due to variation of wind speed, and it is difficult to perfectly forecast wind power. This paper describes a method to use power forecast data of wind turbine generators considering wind power forecast error for optimal operation. The purpose in this paper is to smooth the output power fluctuation of a wind farm and to obtain more beneficial electrical power for selling.


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