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Optimal short-term operation of a cascaded hydro-solar hybrid system: a case study in Kenya

Abstract:
In this paper, we propose an optimal dispatch scheme for a cascaded hybrid hydro-solar power system, i.e., a hydroelectric system coupled with solar generation, which maximizes the head levels of each dam, and minimizes the spillage effects. As a result, more water is stored in the dams to meet a given amount of energy providing more flexibility to the system in dry months. This dispatch scheme is based on the development of a simplified hydroelectric power system model, which has low computational burden and may be implemented for the short-term operation of a cascaded hydro-solar hybrid power system. To this end, the non-convex relationships that describe the system physical constraints, e.g., hydroelectric power output, are transformed into affine relationships; thus, reducing the computational complexity. The transformations are based on the construction of convex envelopes around bilinear functions, piecewise affine functions, and exploitation of optimization properties. We validate the proposed framework and quantify the benefits of coupling hydroelectric and solar resources in terms of live water volume in dams and amount of solar a system may withstand with the Tana river cascade located in Kenya through an analysis of incorporating actual system data.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/tste.2018.2874810

Authors

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Role:
Author
ORCID:
0000-0002-9012-9910
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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
Christ Church
Role:
Author
ORCID:
0000-0001-5378-1128


Publisher:
Institute of Electrical and Electronics Engineers
Journal:
IEEE Transactions on Sustainable Energy More from this journal
Volume:
10
Issue:
4
Pages:
1878 - 1889
Publication date:
2018-10-08
Acceptance date:
2018-09-25
DOI:
ISSN:
1949-3029


Keywords:
Pubs id:
pubs:930437
UUID:
uuid:8b36c74b-2744-4695-b1c0-117c668a41cc
Local pid:
pubs:930437
Source identifiers:
930437
Deposit date:
2020-01-03
ARK identifier:

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