JOURNAL ARTICLE

Schedulling Economical Thermal Power Plant 500 KV Java-Bali System Using Lagrange Multiplier

Nike SartikaAde Gafar AbdullahDadang Lukman Hakim

Year: 2017 Journal:   IOP Conference Series Materials Science and Engineering Vol: 180 Pages: 012073-012073   Publisher: IOP Publishing

Abstract

The highest cost of electricity generation operation is fuel cost. Therefore, it is necessary to optimize the thermal generator scheduling. The present study aimed at obtaining the schedule and load sharing of the electric power generation, in order to gain the minimum fuel cost, with regard to inequality and equality constraints. The data tested was the thermal generation system of 500 kV Java-Bali using daily loads. This study employed a lagrange multiplier method to perform the economic scheduling. This method is one of mathematical techniques commonly used to solve economic dispatch problems. The results of the optimation of lagrange multiplier were compared with the real condition in the field. Based on the optimation results, it was found that the lagrange multiplier method is more economical than the real condition of system.

Keywords:
Lagrange multiplier Economic dispatch Schedule Multiplier (economics) Computer science Electricity generation Electric power system Electricity Java Mathematical optimization Power (physics) Mathematics Engineering Electrical engineering Economics Operating system

Metrics

4
Cited By
0.53
FWCI (Field Weighted Citation Impact)
17
Refs
0.50
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Electric Power System Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Smart Grid Energy Management
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Energy Load and Power Forecasting
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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