Abstract (EN):
The restructuring of power systems induced new
challenges to generation companies in terms of
adequately planning the operation of power stations in
order to maximize their profits. In this scope, hydro
resources are becoming extremely valuable given the
revenues that their operation can generate. In this paper
we describe the application of the Matlab® Linprog
optimization function to solve the Short Term Hydro
Scheduling Problem, HSP, admitting that some stations
are installed in the same cascade and that some of them
have pumping capabilities. The optimization module to
solve the HSP problem is then integrated in an iterative
process to take into account the impact that the
operation decisions regarding the hydro stations under
analysis have on the market prices. The updated market
prices are then used to run again the HSP problem thus
enabling considering the hydro stations as price makers.
The developed approach is illustrated using a system
based on the Portuguese Douro River cascade that
includes 9 hydro stations (4 of them are pumping
stations) and a total installed capacity of 1485 MW.
Idioma:
Inglês
Tipo (Avaliação Docente):
Científica
Nº de páginas:
6