Ant colony system algorithm for automatic generation control of hydrothermal system under open market scenario

Author(s):  
C.S. Rao ◽  
S.S.N. Raju ◽  
P.S. Raju
2013 ◽  
Vol 860-863 ◽  
pp. 2101-2106 ◽  
Author(s):  
Yi Fan Li ◽  
Ke Guan Wang ◽  
Chuan Li Gong

This paper proposed an improved ant colony optimization(ACO), to solve the economical operating dispatch of automatic generation control(AGC) units in hydropower station. The improved ant colony algorithm PSO-ACO imported particle swarm optimization is put forward. Both of the global convergence performance and the effectiveness of this algorithm is improved by using self-adaptive parameters and importing PSO to optimize the current ant paths. The mathematical description and procedure of the PSO-ACO are given with the maximum plant generating efficiency model as an example. Finally the superiority of the PSO-ACO is demonstrated by the application of AGC units on right bank of Three Gorges hydropower station. The optimal solution is more accurate and the calculation speed is higher than other methods.


Sign in / Sign up

Export Citation Format

Share Document