DocumentCode
1024019
Title
Economic load dispatch for piecewise quadratic cost function using Hopfield neural network
Author
Park, J.H. ; Kim, Y.S. ; Eom, I.K. ; Lee, K.Y.
Author_Institution
Dept. of Electr. Eng., Pusan Nat. Univ., South Korea
Volume
8
Issue
3
fYear
1993
fDate
8/1/1993 12:00:00 AM
Firstpage
1030
Lastpage
1038
Abstract
The authors present a new method to solve the problem of economic power dispatch with piecewise quadratic cost function using the Hopfield neural network. Traditionally one convex cost function for each generator is assumed. However, it is more realistic to represent the cost function as a piecewise quadratic function rather than one convex function. In this study, multiple intersecting cost functions are used for each unit. Through case studies, the possibility of the application of the Hopfield neural network to the economic load dispatch problem with general nonconvex cost functions was shown. The proposed approach is much simpler and the results are very close to those of the numerical method
Keywords
Hopfield neural nets; economics; load dispatching; power system analysis computing; Hopfield neural network; convex cost function; economic power dispatch; load dispatch; piecewise quadratic cost function; Biological neural networks; Cost function; Fuel economy; Hopfield neural networks; Neurons; Power engineering and energy; Power generation economics; Power system economics; Power system modeling; Valves;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/59.260897
Filename
260897
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