Go to:
Logótipo
Você está em: Start » Publications » View » Multiyear and multi-criteria AC Transmission Expansion Planning model considering reliability and investment costs
Publication

Multiyear and multi-criteria AC Transmission Expansion Planning model considering reliability and investment costs

Title
Multiyear and multi-criteria AC Transmission Expansion Planning model considering reliability and investment costs
Type
Article in International Conference Proceedings Book
Year
2016-06-06
Authors
João Tomé Saraiva
(Author)
FEUP
View Personal Page You do not have permissions to view the institutional email. Search for Participant Publications View Authenticus page View ORCID page
Phillipe Vilaça Gomes
(Author)
Other
View Personal Page You do not have permissions to view the institutional email. Search for Participant Publications View Authenticus page Without ORCID
João Pedro Silva
(Author)
Other
Indexing
Publicação em ISI Web of Knowledge ISI Web of Knowledge
Publicação em ISI Web of Science ISI Web of Science
Publicação em Scopus Scopus
INSPEC
Scientific classification
CORDIS: Technological sciences > Engineering > Electrical engineering
FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering
Other information
Abstract (EN): One of the major concerns in Power Systems is surely related with their reliability. Long-term expansion planning studies traditionally use the well-known deterministic "N-1" contingency criterion. However, this criterion is applied based on worst-case analyses and the obtained plan may originate over-investments. Differently, probabilistic reliability approaches can incorporate different type of uncertainties that affect power systems. In this work, a long term multi-criteria AC Transmission Expansion Planning model was developed considering two objectives - the probabilistic reliability index Expected Energy Not Supplied (EENS) and the investment cost. The Pareto-Front associated with these two objectives was obtained using Genetic Algorithms and the final solution was selected using a fuzzy decision making function. This approach was applied to the IEEE 24 Bus Test System and the results ensure its robustness and efficiency.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 5
License type: Click to view license CC BY-NC
Documents
File name Description Size
PID4199073 316.66 KB
Recommend this page Top
Copyright 1996-2024 © Faculdade de Medicina da Universidade do Porto  I Terms and Conditions  I Acessibility  I Index A-Z  I Guest Book
Page created on: 2024-11-08 at 22:57:50
Acceptable Use Policy | Data Protection Policy | Complaint Portal | Política de Captação e Difusão da Imagem Pessoal em Suporte Digital