Optimization of the operation of hydro stations in market environment using Genetic Algorithms

dc.contributor.author Gil Silva Sampaio en
dc.contributor.author João Tomé Saraiva en
dc.contributor.author Sousa,JC en
dc.contributor.author Mendes,VT en
dc.date.accessioned 2017-12-14T11:01:34Z
dc.date.available 2017-12-14T11:01:34Z
dc.date.issued 2013 en
dc.description.abstract This paper describes an approach to the short term operation planning of hydro stations in market environment. The developed approach is based on the solution of an optimization problem to maximize the profit of a generation agent along a planning period discretized in hourly steps using a Genetic Algorithm. This problem includes the possibility of pumping since this is an important resource in the scope of electricity markets. The scheduling problem was developed starting with an initial simplified version in which the head loss is neglected and the head is assumed constant. Then, it was implemented a second model in which the nonlinear relation between the head, the hydro power and the water discharge is retained and finally an approach in which the hydro schedule obtained in a given step is used to update the hourly electricity prices used to compute the profit of the generation agent. The short term hydro scheduling problem is illustrated using two Case Studies - the first one was designed to run a set of initial tests to the developed algorithm and the second one refers to a set of hydro stations that mirrors a cascade of 8 stations in Portugal. © 2013 IEEE. en
dc.identifier.uri http://repositorio.inesctec.pt/handle/123456789/4022
dc.identifier.uri http://dx.doi.org/10.1109/eem.2013.6607278 en
dc.language eng en
dc.relation 6128 en
dc.relation 268 en
dc.rights info:eu-repo/semantics/openAccess en
dc.title Optimization of the operation of hydro stations in market environment using Genetic Algorithms en
dc.type conferenceObject en
dc.type Publication en
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
P-00A-4FR.pdf
Size:
196.53 KB
Format:
Adobe Portable Document Format
Description: