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
Link To Document :
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