Hydropower operating rules of ``El Infiernillo'' dam by means of stochastic dynamic programming
Por:
Arganis Juarez, M. L., Mendoza Ramirez, R., Dominguez Mora, R., Carrizosa Elizondo, E.
Publicada:
1 jul 2015
Resumen:
This work deals with getting operating rules for a dam which take into
account the Comision Federal de Electricidad operator's requests,
besides to find a balance between the restrictions imposed by Comision
Nacional del Agua, in order to guarantee on the one hand, the biggest
benefits for hydropower generation and on the other hand the lowest
spill and deficit scenarios to avoid damages in downstream sites. This
problem can be solved by applying a mathematical optimization model
using several methodologies for this purpose.
In this analysis operating rules were obtained and simulated, for the
hydropower system ``El Infiernillo'' using a stochastic dynamic
programming algorithm, this method has been applied since almost two
decades in several important hydropower dam systems in Mexico. The
objective function used was to maximize the generation benefits,
imposing penalties in case of spill or deficit in the system and also
adding penalties when an upper or lower guide curve could be overtopped
on their limits, these guide curves help to reconcile the operator
organizations by setting with an upper level the safe dam storage volume
for management purposes in case of extremes hydrometeorogical events and
with the lower limits a minimum hydropower generation can be guaranteed
in the system. With the application of the algorithm in several
occasions proposing different penalty values, optimum operating rules
expressed as a data table were obtained. Such rules where simulated with
the fortnight inflow historical volume to the Dam from years 1965 to
2013.
The extraction volume in the time interval chosen for the simulation can
be decided in a simply way by the operator helped with an extraction
values table according to the storage in the dam; besides is
incorporated, during the simulation, the effect of the inflow volume
autocorrelation by adding or subtracting a specified volume taking into
account the inflow magnitude from the previous time interval, with
respect to the mean historical inflow volume in the same previous time
interval. (C) 2015 IAHR y WCCE. Published by Elsevier Espana, S.L.U.
Filiaciones:
Arganis Juarez, M. L.:
Inst Ingn, Mexico City, DF, Mexico
Univ Nacl Autonoma Mexico, Fac Ingn, Mexico City, DF, Mexico
Mendoza Ramirez, R.:
Inst Ingn, Mexico City, DF, Mexico
Dominguez Mora, R.:
Inst Ingn, Mexico City, DF, Mexico
Carrizosa Elizondo, E.:
Inst Ingn, Mexico City, DF, Mexico
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