Optimisasi Economic Dispatch dengan Transmission Loss Menggunakan Metode Extended Lagrange Multiplier dan Gaussian Particle Swarm Optimization (Gpso)

In the operating process of electrical energy, economic planning is the main goal to be achieved. The goal of economic dispatch problem is determining the combination of optimal power distribution to a number of operating generator units so that the electricity demand in a certain area is fulfilled...

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Main Author: Siti Komsiyah
Format: Article
Language:English
Published: Bina Nusantara University 2014-06-01
Series:ComTech
Subjects:
Online Access:https://journal.binus.ac.id/index.php/comtech/article/view/2620
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spelling doaj-831f6d90a6cb453d8242c9d7f9e33dce2020-11-25T03:14:11ZengBina Nusantara UniversityComTech2087-12442476-907X2014-06-015125927110.21512/comtech.v5i1.26202020Optimisasi Economic Dispatch dengan Transmission Loss Menggunakan Metode Extended Lagrange Multiplier dan Gaussian Particle Swarm Optimization (Gpso)Siti Komsiyah0Bina Nusantara UniversityIn the operating process of electrical energy, economic planning is the main goal to be achieved. The goal of economic dispatch problem is determining the combination of optimal power distribution to a number of operating generator units so that the electricity demand in a certain area is fulfilled without ignoring the constraints that exist, so it is obtained a minimum total generation cost. Optimization method that is used is the Gaussian Particle Swarm Optimization (GPSO), while for the validation of the results, the obtained solution with the GPSO will be compared with the solution obtained by mathematical methods Extended Lagrange Multiplier (ELM) or the Lagrange multiplier method which its functions are expanded. The solution that is calculated is generation output in Megawatt of 23 thermal generating units system in Mahakam, East Kalimantan, which had a total cost of optimal generating (minimum).https://journal.binus.ac.id/index.php/comtech/article/view/2620economic dispatch, optimization, GPSO, Extended Lagrange Multiplier
collection DOAJ
language English
format Article
sources DOAJ
author Siti Komsiyah
spellingShingle Siti Komsiyah
Optimisasi Economic Dispatch dengan Transmission Loss Menggunakan Metode Extended Lagrange Multiplier dan Gaussian Particle Swarm Optimization (Gpso)
ComTech
economic dispatch, optimization, GPSO, Extended Lagrange Multiplier
author_facet Siti Komsiyah
author_sort Siti Komsiyah
title Optimisasi Economic Dispatch dengan Transmission Loss Menggunakan Metode Extended Lagrange Multiplier dan Gaussian Particle Swarm Optimization (Gpso)
title_short Optimisasi Economic Dispatch dengan Transmission Loss Menggunakan Metode Extended Lagrange Multiplier dan Gaussian Particle Swarm Optimization (Gpso)
title_full Optimisasi Economic Dispatch dengan Transmission Loss Menggunakan Metode Extended Lagrange Multiplier dan Gaussian Particle Swarm Optimization (Gpso)
title_fullStr Optimisasi Economic Dispatch dengan Transmission Loss Menggunakan Metode Extended Lagrange Multiplier dan Gaussian Particle Swarm Optimization (Gpso)
title_full_unstemmed Optimisasi Economic Dispatch dengan Transmission Loss Menggunakan Metode Extended Lagrange Multiplier dan Gaussian Particle Swarm Optimization (Gpso)
title_sort optimisasi economic dispatch dengan transmission loss menggunakan metode extended lagrange multiplier dan gaussian particle swarm optimization (gpso)
publisher Bina Nusantara University
series ComTech
issn 2087-1244
2476-907X
publishDate 2014-06-01
description In the operating process of electrical energy, economic planning is the main goal to be achieved. The goal of economic dispatch problem is determining the combination of optimal power distribution to a number of operating generator units so that the electricity demand in a certain area is fulfilled without ignoring the constraints that exist, so it is obtained a minimum total generation cost. Optimization method that is used is the Gaussian Particle Swarm Optimization (GPSO), while for the validation of the results, the obtained solution with the GPSO will be compared with the solution obtained by mathematical methods Extended Lagrange Multiplier (ELM) or the Lagrange multiplier method which its functions are expanded. The solution that is calculated is generation output in Megawatt of 23 thermal generating units system in Mahakam, East Kalimantan, which had a total cost of optimal generating (minimum).
topic economic dispatch, optimization, GPSO, Extended Lagrange Multiplier
url https://journal.binus.ac.id/index.php/comtech/article/view/2620
work_keys_str_mv AT sitikomsiyah optimisasieconomicdispatchdengantransmissionlossmenggunakanmetodeextendedlagrangemultiplierdangaussianparticleswarmoptimizationgpso
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