Dynamic Economic Dispatch For Large Scale Power Systems: A Lagrangian Relaxation Approach

Ab Ghani, Mohd Ruddin and Hindi, K. S. (1991) Dynamic Economic Dispatch For Large Scale Power Systems: A Lagrangian Relaxation Approach. International Journal of Electrcal Power & Energy Systems, 13 (1). 51 -56. ISSN 0142-0615/91/010051-06

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Abstract

The dynamic multi-period economic dispatch problem for large-scale power systems is modelled as a linear programming problem. The model considers loading and deloading rates, limits on generators outputs, spinning reserve requirements and group power import-export limits. The solution algorithm is based on Lagrangian relaxation and on exploiting the intimate relationship between optimizing the dual Lagrangian function and Dantzig-Wolfe decomposition. The relaxation is carried out so that the relaxed problem is decomposable to a number of subproblems corresponding to the periods in the dispatch horizon. These are solved simply by using priority lists. The dual Lagrangian function is optimized using subgradient optization. If an overall solution feasible in all constraints and sufficiently close to a computed best lower bound is discovered during subgradient optimization, it is deemed optimal. Otherwise, Dantzig-Wolfe decomposition is invoked, using almost all the information generated during subgradient optimization to ensure a speedy conclusion. The computational efficiency of the algorithm renders it suitable for on-line dispatch.

Item Type:	Article
Uncontrolled Keywords:	dynamic economic dispatch, short-term scheduling, mathematical modelling
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Electrical Engineering > Department of Control, Instrumentation & Automation
Depositing User:	Prof. Datuk Dr. Mohd Ruddin Ab. Ghani
Date Deposited:	31 Jul 2013 08:01
Last Modified:	29 Sep 2021 13:07
URI:	http://eprints.utem.edu.my/id/eprint/8897
Statistic Details:	View Download Statistic

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