A hybrid HNN-QP approach for dynamic economic dispatch problem

This paper introduces a solution of the dynamic economic dispatch (DED) problem using a hybrid approach of Hopfield neural network (HNN) and quadratic programming (QP). The hybrid algorithm is based on using enhanced HNN; to solve the static part of the problem; the QP algorithm for solving the dyna...

Full description

Saved in:
Bibliographic Details
Published in:Electric power systems research 2008-10, Vol.78 (10), p.1784-1788
Main Authors: Abdelaziz, A.Y., Kamh, M.Z., Mekhamer, S.F., Badr, M.A.L.
Format: Article
Language:English
Subjects:
Applied sciences
Dynamic economic dispatch (DED)
Electrical engineering. Electrical power engineering
Electrical power engineering
Exact sciences and technology
Hopfield neural network (HNN)
Look-ahead capability
Miscellaneous
Operation. Load control. Reliability
Power networks and lines
Ramp rates
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper introduces a solution of the dynamic economic dispatch (DED) problem using a hybrid approach of Hopfield neural network (HNN) and quadratic programming (QP). The hybrid algorithm is based on using enhanced HNN; to solve the static part of the problem; the QP algorithm for solving the dynamic part of the DED. This technique guarantees the global optimality of the solution due to its look-ahead capability. The new algorithm is applied and tested to an example from the literature and the solution is then compared with that obtained by some other techniques to prove the superiority and effectiveness of the proposed algorithm.
ISSN:0378-7796
1873-2046
DOI:10.1016/j.epsr.2008.03.011