DocumentCode :
771555
Title :
Stochastic optimization of a hydro-thermal system including network constraints
Author :
Gorenstin, B.G. ; Campodonico, N.M. ; Costa, J.P. ; Pereira, M.V.F.
Author_Institution :
Centro de Pesquisas de Energia Eletrica, Rio de Janeiro, Brazil
Volume :
7
Issue :
2
fYear :
1992
fDate :
5/1/1992 12:00:00 AM
Firstpage :
791
Lastpage :
797
Abstract :
The authors describe a methodology for the optimal scheduling of hydrothermal power systems taking into account multiple hydro reservoir characteristics, inflow stochasticity and a transmission network represented by a linearized power flow model. The solution algorithm is based on stochastic dual dynamic programming, which decomposes the multistage problem into several one-stage subproblems. Each subproblem corresponds to a linearized optimal power flow with additional constraints representing the hydro reservoir equations and a piecewise linear approximation of the expected future cost function. Each subproblem is solved by a customized network flow/dual Simplex algorithm which takes advantage of the network characteristics of the hydro reservoirs and of the transmission system. The application of the methodology is illustrated in a case study with a Brazilian system comprising 44 hydroplants, 11 thermal plants, 463 buses, and 834 circuits
Keywords :
approximation theory; dynamic programming; hydroelectric power stations; load flow; optimal control; piecewise-linear techniques; power system control; scheduling; stochastic processes; thermal power stations; transmission networks; Brazil; Simplex algorithm; buses; cost function; hydro reservoir; hydroelectric power station; hydrothermal power systems; inflow stochasticity; load flow; optimal scheduling; optimisation; piecewise linear approximation; power flow; stochastic dual dynamic programming; thermal power stations; transmission network; Dynamic programming; Equations; Load flow; Optimal scheduling; Piecewise linear approximation; Power system dynamics; Power system modeling; Reservoirs; Stochastic processes; Stochastic systems;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.141787
Filename :
141787
Link To Document :
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