Title :
An Evolutionary Particle Swarm Optimization, EPSO, approach to optimize the operation of hydro stations in market environment
Author :
Pacheco, Andre S. ; Saraiva, J.T.
Author_Institution :
Dept. de Eng. Eletrotecnica e Comput., FEUP, Porto, Portugal
Abstract :
This paper describes the application of Evolutionary Particle Swarm Optimization, EPSO, to the optimization of the short term operation of hydro stations in market environment. The maximization of the revenues of hydro stations, namely pumping stations, is gaining increasing attention by generation companies. However, this is typically a complex problem given the non linear relation between the power, the flow and the head, the temporal coupling between stations in cascade and the increasing number of pumping stations. The EPSO based algorithm displayed a very good performance in terms of the quality of the final operation plan as well as regarding the speed of convergence and the robustness of the algorithm.
Keywords :
hydroelectric power stations; particle swarm optimisation; power generation economics; power markets; pumping plants; EPSO based algorithm; evolutionary particle swarm optimization; generation company; hydro stations operation optimization; market environment; nonlinear relation; pumping station; revenues maximization; temporal coupling; Discharges (electric); Optimization; Particle swarm optimization; Planning; Reservoirs; Sociology; Statistics; EPSO; hydro stations; markets; optimization;
Conference_Titel :
European Energy Market (EEM), 2014 11th International Conference on the
Conference_Location :
Krakow
DOI :
10.1109/EEM.2014.6861211