Multi objektif optimal power flow untuk minimisasi biaya dan rugi-rugi jaringan menggunakan gravitational search algorithm

Adhim, Rizki Nurfajri (2015) Multi objektif optimal power flow untuk minimisasi biaya dan rugi-rugi jaringan menggunakan gravitational search algorithm. Undergraduate thesis, Institut Teknology Sepuluh Nopember.

[img]
Preview
Text
2210100169-Undergraduate_Thesis.pdf

Download (1MB) | Preview

Abstract

Pengaturan optimal pembangkit telah menjadi hal yang sangat penting dalam studi sistem tenaga modern. Banyak sekali metode dan algoritma yang telah diciptakan untuk memungkinkan pengaturan pembangkitan menjadi optimal. Tujuan dari algoritma dan metode yang dibuat adalah untuk memaksimalkan hasil optimasi baik dari segi biaya, rugi-rugi jaringan maupun mengurangi emisi yang dihasilkan. Dalam pengembangan algoritma dan metode yang telah dibuat diantaranya banyak yang menggunakan algoritma berbasis populasi, seperti Particle Swarm Optimization (PSO) dan Gravitational Search Algorithm (GSA). Keduanya sama-sama memanfaatkan sifat partikel yang cenderung membuat kelompok-kelompok berdasarkan solusi terbaiknya. Namun terdapat perbedaan sifat pada bagaimana partikel-partikel saling mendekati. Pada metode Gravitational Search Algorithm digunakan teori hukum Newton tentang gravitasi, dimana setiap partikel memiliki gravitasinya masing-masing berdasarkan massa dan jaraknya dengan partikel lain. ============================================================================================ Optimization becomes an important thing in modern power system. There are several methods and algorithm has created to enable very optimal generation. Many algorithm and methods has created for many purposes, such maximize optimization result with optimizing generation cost (economic dispatch), system losses, and minimize the emission of the generator for environmental purpose. In research of the methods and algorithm has made, there were many of them using population – based algorithm, such as Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA). Both has several similarity in its characteristics, made of many particle nature that makes several groups to obtain the best result. But there are several differences in particles nature about how they approaching each other. In Gravitational Search Algorithm method, its use Newton’s law of gravity, that each particles has its own gravity based on its mass and distance with other particles.

Item Type: Thesis (Undergraduate)
Additional Information: RSE 621.319 Adh m
Uncontrolled Keywords: Multi Objective Optimal Power Flow; Economic Dispatch; Losses; Gravitational Search Algorithm
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1010 Electric power system stability. Electric filters, Passive.
Divisions: Faculty of Industrial Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User: - Taufiq Rahmanu
Date Deposited: 11 Oct 2019 07:17
Last Modified: 11 Oct 2019 07:17
URI: https://repository.its.ac.id/id/eprint/71127

Actions (login required)

View Item View Item