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ISSN:
2315-4462 (Print); 2373-3594 (Online)
Abbreviated Title:
Int. J Smart Grid Clean Energy
Frequency:
4 issues per year
Editor-in-Chief:
Prof. Danny Sutanto
DOI:
10.12720/sgce
APC:
500 USD
Indexed by:
Inspec (IET),
CNKI
, Crossref, Google Scholar,
etc
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Editor-in-Chief
Prof. Danny Sutanto
University of Wollongong, Australia
I am very excited to serve as the first Editor-in-Chief of the Journal of Smart Grid and Clean Energy (IJSGCE)and hope that the publication can enrich the readers’ experience .... [
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What's New
2024-03-28
March 28th, 2024 News! Vol. 13, No. 1 has been published online!
2024-01-04
IJSGCE will adopt Article-by-Article Work Flow. For the quarterly journal, each issue will be released at the end of the issue month.
2023-10-09
October 9th, 2023 News! Vol. 11, No. 4 has been published online!
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2018
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Vol. 7, No. 2, April 2018
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A multi-step multi-objective generation expansion planning model-A case study in Mexico
Author(s):Rodrigo Palacios
a
, Eduardo Valdes
b
,Rafael Batres
a
a
Laboratorio Binacional para la gestión inteligente de la sustentabilidad energética y la formación tecnológica. Tecnológico de Monterrey. Campus Cuernavaca. Morelos, Mexico
b
Universidad Autonoma de Nuevo Leon. Nuevo Leon, Mexico
International Journal of Smart Grid and Clean Energy
, vol. 7, no. 2, April 2018: pp. 90-97
ISSN: 2315-4462 (Print)
ISSN: 2373-3594 (Online)
Digital Object Identifier: 10.12720/sgce.7.2.90-97
Abstract
: The planning of the energy sector implies multiple and conflicting objectives. The multi-objective models allow to analyse these interrelationships and obtain trade-off solutions. This paper presents a mixed integer linear model for the Multistep Multi-objective Generation Expansion Planning (MMGEP). The MMGEP problem is defined as the problem of determining: What are the types of generation technologies to be added to the grid? What is the capacity of each new generation plant? Where the plant will be located? and; When the plant will be located? The MMGEP objectives are minimization the global cost of the system, minimization the environmental impact and maximization the social profits. The proposed model is based on a real power system in Mexico for planning period 2017-2037. The problem was solved using the NSGA-II algorithm.
Keywords
:Energy planning, generation expansion planning, capacity expansion planning, GEP
Full Paper.pdf
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