NDLI: A Hybrid EP and SQP for Dynamic Economic Dispatch with Nonsmooth Fuel Cost Function

Content Provider	IEEE Xplore Digital Library
Author	Attaviriyanupap, P. Kita, H. Tanaka, E. Hasegawa, J.
Copyright Year	1981
Abstract	Dynamic economic dispatch (DED) is one of the main functions of power generation operation and control. It determines the optimal settings of generator units with predicted load demand over a certain period of time. The objective is to operate an electric power system most economically while the system is operating within its security limits. This paper proposes a new hybrid methodology for solving DED. The proposed method is developed in such a way that a simple evolutionary programming (EP) is applied as a based level search, which can give a good direction to the optimal global region, and a local search sequential quadratic programming (SQP) is used as a fine tuning to determine the optimal solution at the final. Ten units test system with nonsmooth fuel cost function is used to illustrate the effectiveness of the proposed method compared with those obtained from EP and SQP alone.
Starting Page	77
Ending Page	77
Page Count	1
File Size	357269
File Format	PDF
ISSN	02721724
Volume Number	22
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-04-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuel economy Cost function Power generation economics Power system economics Economic forecasting Power system dynamics Quadratic programming Power generation dispatch Power system security Genetic programming stochastic optimization techniques Dynamic economic dispatch evolutionary programming global solution power generation operation and control sequential quadratic programming
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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