http://www.cnr.it/ontology/cnr/individuo/prodotto/ID277950
A Hybrid With Cross-Entropy Method and Sequential Quadratic Programming to Solve Economic Load Dispatch Problem (Articolo in rivista)
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- Label
- A Hybrid With Cross-Entropy Method and Sequential Quadratic Programming to Solve Economic Load Dispatch Problem (Articolo in rivista) (literal)
- Anno
- 2014-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1109/JSYST.2013.2297471 (literal)
- Alternative label
Subathra, M. S P; Selvan, Suviseshamuthu Easter; Aruldoss Albert Victoire, T.; Hepzibah Christinal, A.; Amato, Umberto (2014)
A Hybrid With Cross-Entropy Method and Sequential Quadratic Programming to Solve Economic Load Dispatch Problem
in IEEE systems journal
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Subathra, M. S P; Selvan, Suviseshamuthu Easter; Aruldoss Albert Victoire, T.; Hepzibah Christinal, A.; Amato, Umberto (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://www.scopus.com/record/display.url?eid=2-s2.0-84892778891&origin=inward (literal)
- Rivista
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- M. S. P. Subathra and A. H. Christinal are with Karunya University, Coimbatore 641-114, India (e-mail: sumiolivia@gmail.com; christyhep@gmail.com). S. E. Selvan is with the Department of Mathematical Engineering, Université catholique de Louvain, 1348 Louvain-la-Neuve, Belgium (e-mail: easterselvans@gmail.com). T. A. A. Victoire is with the Department of Electrical Engineering, Anna University Regional Centre, Coimbatore 641-047, India (e-mail: t.aruldoss@gmail.com). U. Amato is with the Istituto per le Applicazioni del Calcolo \"Mauro
Picone\"-Sede di Napoli, Consiglio Nazionale delle Ricerche, Via Pietro Castellino 111, Napoli 80131, Italy (e-mail: u.amato@iac.cnr.it) (literal)
- Titolo
- A Hybrid With Cross-Entropy Method and Sequential Quadratic Programming to Solve Economic Load Dispatch Problem (literal)
- Abstract
- This paper presents a new hybrid approach integrating the cross-entropy (CE) algorithm and the sequential quadratic programming (SQP) technique to solve the economic load dispatch (ELD) problem related to electrical power generating units. Due to the introduction of the valve-point effect in the ELD objective function, the optimization task requires tools appropriate for a nonconvex optimization landscape. In this respect, we employ the CE approach, which constructs a random sequence of solutions probabilistically converging to a near-optimal solution and, thus, facilitating the exploration capability. Additionally, to fine-tune the solution in promising basins of attraction, the SQP algorithm is invoked, which performs a local search. Despite its reliance on a global heuristic scheme, CE-SQP is vested with fast convergence capability, which may entail its use for online power dispatch. The effectiveness and the robustness of the proposed method in comparison with several state-of-the-art approaches have been demonstrated with four standard test systems that are widely reported in the ELD literature. (literal)
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