Referenced Items are not available for this document.
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
Published in:
Power Systems, IEEE Transactions on
(Volume:7
,
Issue:
2
)
Date of Publication: May 1992
- Page(s):
- 791 - 797
- ISSN :
- 0885-8950
- INSPEC Accession Number:
- 4181218
- Digital Object Identifier :
- 10.1109/59.141787
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- May 1992
- Sponsored by :
- IEEE Power & Energy Society
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