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This final project presents application of Multi-Objective Particle Swarm Optimization (MOPSO) technique for solving Multi-Objective Optimal Power Flow (MOOPF) problem. MOOPF problem is formulated as a multi-objective optimization one with three competing functions, they are fuel cost function, loss...

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Main Author: FADHLI (NIM 13205097); Pembimbing: Dr. Ir. Muhammad Nurdin dan Dr.Ir.Nanang Haryanto, MT., FUAD
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/13486
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:13486
spelling id-itb.:134862017-09-27T10:18:39Z#TITLE_ALTERNATIVE# FADHLI (NIM 13205097); Pembimbing: Dr. Ir. Muhammad Nurdin dan Dr.Ir.Nanang Haryanto, MT., FUAD Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/13486 This final project presents application of Multi-Objective Particle Swarm Optimization (MOPSO) technique for solving Multi-Objective Optimal Power Flow (MOOPF) problem. MOOPF problem is formulated as a multi-objective optimization one with three competing functions, they are fuel cost function, losses function, and emission function, subject to several constraints. The constraints is consist of the inequality ones and the equality one. The inequality constraints are generating unit capacity limit, bus voltage limit, and transmission capacity limit, while the equality constraint is generation demand balance. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description This final project presents application of Multi-Objective Particle Swarm Optimization (MOPSO) technique for solving Multi-Objective Optimal Power Flow (MOOPF) problem. MOOPF problem is formulated as a multi-objective optimization one with three competing functions, they are fuel cost function, losses function, and emission function, subject to several constraints. The constraints is consist of the inequality ones and the equality one. The inequality constraints are generating unit capacity limit, bus voltage limit, and transmission capacity limit, while the equality constraint is generation demand balance.
format Final Project
author FADHLI (NIM 13205097); Pembimbing: Dr. Ir. Muhammad Nurdin dan Dr.Ir.Nanang Haryanto, MT., FUAD
spellingShingle FADHLI (NIM 13205097); Pembimbing: Dr. Ir. Muhammad Nurdin dan Dr.Ir.Nanang Haryanto, MT., FUAD
#TITLE_ALTERNATIVE#
author_facet FADHLI (NIM 13205097); Pembimbing: Dr. Ir. Muhammad Nurdin dan Dr.Ir.Nanang Haryanto, MT., FUAD
author_sort FADHLI (NIM 13205097); Pembimbing: Dr. Ir. Muhammad Nurdin dan Dr.Ir.Nanang Haryanto, MT., FUAD
title #TITLE_ALTERNATIVE#
title_short #TITLE_ALTERNATIVE#
title_full #TITLE_ALTERNATIVE#
title_fullStr #TITLE_ALTERNATIVE#
title_full_unstemmed #TITLE_ALTERNATIVE#
title_sort #title_alternative#
url https://digilib.itb.ac.id/gdl/view/13486
_version_ 1820736201460547584

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