An evolution strategy for short-term operation planning of hydrothermal power systems

1999 ◽  
Vol 14 (4) ◽  
pp. 1362-1368 ◽  
Author(s):  
T.G. Werner ◽  
J.F. Verstege
2008 ◽  
Vol 78 (5) ◽  
pp. 835-848 ◽  
Author(s):  
Fabricio Salgado ◽  
Pedro Pedrero

2014 ◽  
Vol 953-954 ◽  
pp. 537-542
Author(s):  
Hai Feng Zhang ◽  
Zhao Jun Zhang ◽  
Jun Zhou ◽  
Yuan Chao Yang

In view of the uncertainty and intermittency of wind power, this paper presents a bi-objective short-term operation model to manage wind-thermal power systems. This model takes into account both the offer cost and emission. Wind power is regarded as a random variable and is assumed to follow the beta distribution. The bi-objective particle swarm optimization (BOPSO) approach is applied to solve the bi-objective model and Pareto front is obtained. The model and the solution method are tested on a generic system. The validity of the model and the method has been approved.


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