American Journal of Electrical and Electronic Engineering
ISSN (Print): 2328-7365 ISSN (Online): 2328-7357 Website: http://www.sciepub.com/journal/ajeee Editor-in-chief: Naima kaabouch
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American Journal of Electrical and Electronic Engineering. 2014, 2(1), 21-26
DOI: 10.12691/ajeee-2-1-5
Open AccessArticle

(Lantool) Power Generation Cost Minimization Software Application

Anireh V.I.E.1, and John Tarilanyo Afa2

1Department of Electrical/Computer Engineering, Rivers State University of Science and Technology, Rivers State, Nigeria

2Department of Electrical/Electronic Engineering, Niger Delta University, Bayelsa State, Nigeria

Pub. Date: January 10, 2014

Cite this paper:
Anireh V.I.E. and John Tarilanyo Afa. (Lantool) Power Generation Cost Minimization Software Application. American Journal of Electrical and Electronic Engineering. 2014; 2(1):21-26. doi: 10.12691/ajeee-2-1-5

Abstract

Managers of large scale industry like the electricity generation are challenged at many fronts because the tasks involved are complex, influenced by unexpected events and evolve in time. Currently the application of computer methods in this industry has produced tremendous positive results. In this regard, the study presents an effort developed to solve optimal power flow (economic dispatch) problem by minimizing the cost of generation using the lagrangian multiplier method. A decision support system ‘Lantool’ is presented. The approach is validated by lagrangian method found in technical literatures. The system will assist operators in thermal power plants with the task of planning generation in the most economic way. A result obtained from the application explains the important role decision support systems can play in the management of the electricity generation industry.

Keywords:
optimal power flow minimizing cost economic dispatch lagrangian multiplier method decision support system

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