Optimal sizing and operation of battery storage for economic operation of hybrid power system using artificial bee colony algorithm

2018 ◽  
Vol 29 (1) ◽  
pp. e2685 ◽  
Author(s):  
Navin K. Paliwal ◽  
Asheesh K. Singh ◽  
Navneet K. Singh ◽  
Pradeep Kumar
2013 ◽  
Vol 483 ◽  
pp. 630-634
Author(s):  
Shu Chuan Gan ◽  
Ling Tang ◽  
Li Cao ◽  
Ying Gao Yue

An algorithm of artificial colony algorithm to optimize the BP neural network algorithm was presented and used to analyze the harmonics of power system. The artificial bee colony algorithm global searching ability, convergence speed for the BP neural network algorithm for harmonic analysis is easy to fall into local optimal solution of the disadvantages, and the initial weights of the artificial bee colony algorithm also greatly enhance whole algorithm model generalization capability. This algorithm using MATLAB for Artificial bee colony algorithm and BP neural network algorithm simulation training toolbox found using artificial bee colony algorithm to optimize BP neural network algorithm converges faster results with greater accuracy, with better harmonic analysis results.


2013 ◽  
Vol 4 (3) ◽  
pp. 774-785 ◽  
Author(s):  
Lin Xu ◽  
Xinbo Ruan ◽  
Chengxiong Mao ◽  
Buhan Zhang ◽  
Yi Luo

2013 ◽  
Vol 5 (5) ◽  
pp. 053141 ◽  
Author(s):  
Seyed Mahdi Moosavian ◽  
Mostafa Modiri-Delshad ◽  
Nasrudin Abd Rahim ◽  
Jeyraj Selvaraj

2019 ◽  
Vol 13 (15) ◽  
pp. 3354-3361 ◽  
Author(s):  
Matthew Combe ◽  
Amin Mahmoudi ◽  
Mohammed H. Haque ◽  
Rahmat Khezri

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