Hybrid DE–SQP algorithm for non-convex short term hydrothermal scheduling problem

This paper proposes a hybrid method combining differential evolution (DE) and sequential quadratic programming (SQP) for solving short term hydrothermal scheduling problem with non-convex fuel cost function. In this paper, differential evolution (DE) is used as a global optimizer and sequential quad...

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Bibliographic Details
Published inEnergy conversion and management Vol. 52; no. 1; pp. 757 - 761
Main Authors Sivasubramani, S., Shanti Swarup, K.
Format Journal Article
LanguageEnglish
Published Kidlington Elsevier Ltd 2011
Elsevier
Subjects
Algorithms
Applied sciences
Computer simulation
Differential evolution
Direct power generation
Economic data
Electric energy
Energy
Energy economics
Equivalence
Evolution
Exact sciences and technology
General, economic and professional studies
Hydrothermal system
Methodology. Modelling
Natural energy
Quadratic programming
Reservoirs
Scheduling
Sequential quadratic programming
Sequential quadratic programming
Differential evolution
Hydrothermal system
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Summary:This paper proposes a hybrid method combining differential evolution (DE) and sequential quadratic programming (SQP) for solving short term hydrothermal scheduling problem with non-convex fuel cost function. In this paper, differential evolution (DE) is used as a global optimizer and sequential quadratic programming (SQP) method as a local optimizer to fine tune the solution. The proposed method has been tested on a multichain cascaded reservoir with an equivalent thermal test system and the simulation results are compared with existing methods reported in literatures. From the results, it clearly shows that the proposed method is giving better quality solutions than existing methods.
Bibliography:ObjectType-Article-1
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ISSN:0196-8904
1879-2227
DOI:10.1016/j.enconman.2010.07.056