Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/93739
Author(s): | Manuel Costeira da Rocha João Tomé Saraiva |
Title: | Discrete evolutionary particle swarm optimization for multiyear transmission expansion planning |
Issue Date: | 2011 |
Abstract: | This paper presents a discrete approach, based on an improved integer version of the evolutionary particle swarm optimization (EPSO) algorithm, to solve the dynamic transmission expansion planning (TEP) problem. TEP corre-sponds to a mixed integer optimization problem that typically aims at identifying a schedule for transmission additions along an extended planning horizon considering operation and investment costs as well as a reliability index to measure the ability the system has to convey electricity from genera-tion to consumers. After detailing the mathematical formula-tion of the TEP problem, this paper describes the enhanced EPSO algorithm and details its application to the TEP prob-lem. The paper also includes a Case Study based on the IEEE 24 bus / 38 branch system to illustrate the application of the developed procedure. |
Subject: | Ciências Tecnológicas, Engenharia electrotécnica, electrónica e informática Technological sciences, Electrical engineering, Electronic engineering, Information engineering |
Scientific areas: | Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática Engineering and technology::Electrical engineering, Electronic engineering, Information engineering |
URI: | https://hdl.handle.net/10216/93739 |
Source: | PSCC 2011 |
Document Type: | Artigo em Livro de Atas de Conferência Internacional |
Rights: | restrictedAccess |
Appears in Collections: | FEUP - Artigo em Livro de Atas de Conferência Internacional |
Files in This Item:
File | Description | Size | Format | |
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62849.pdf Restricted Access | PSCC_2011_ManuelZé | 225.97 kB | Adobe PDF | Request a copy from the Author(s) |
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