Meta-heuristic optimization methods applied to renewable distributed generation planning: A review

Meta-heuristic optimization methods applied to renewable distributed generation planning: A review

Due to its proven efficiency and computational speed, the most recent developed meta-heuristic optimization methods are widely used to better integrate renewable distributed generation (RDG) into the electricity grid. The main objective of this paper is to obtain a better knowledge of current trends...

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Main Authors: Tarraq Ali, Elmariami Faissal, Belfqih Aziz, Haidi Touria
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/10/e3sconf_icies2020_00086.pdf
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spelling doaj-a19c03320bc84845b59dc97d40b7e6552021-02-18T10:35:51ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012340008610.1051/e3sconf/202123400086e3sconf_icies2020_00086Meta-heuristic optimization methods applied to renewable distributed generation planning: A reviewTarraq Ali0Elmariami Faissal1Belfqih Aziz2Haidi TouriaEnergy and Electrical Systems Laboratory , National Superior School of Electricity and Mechanics (ENSEM), Hassan II University of CasablancaEnergy and Electrical Systems Laboratory , National Superior School of Electricity and Mechanics (ENSEM), Hassan II University of CasablancaEnergy and Electrical Systems Laboratory , National Superior School of Electricity and Mechanics (ENSEM), Hassan II University of CasablancaDue to its proven efficiency and computational speed, the most recent developed meta-heuristic optimization methods are widely used to better integrate renewable distributed generation (RDG) into the electricity grid. The main objective of this paper is to obtain a better knowledge of current trends in meta-heuristics applied to optimally integrate RDGs to the distribution network. This is a review of well known meta-heuristic approaches, used to solve the problem of optimal renewable distributed generation allocation planning (ORDGAP). In this context, some research gaps were mentioned, and recommendations were proposed to expand the scope of research in this field.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/10/e3sconf_icies2020_00086.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Tarraq Ali
Elmariami Faissal
Belfqih Aziz
Haidi Touria
spellingShingle Tarraq Ali
Elmariami Faissal
Belfqih Aziz
Haidi Touria
Meta-heuristic optimization methods applied to renewable distributed generation planning: A review
E3S Web of Conferences
author_facet Tarraq Ali
Elmariami Faissal
Belfqih Aziz
Haidi Touria
author_sort Tarraq Ali
title Meta-heuristic optimization methods applied to renewable distributed generation planning: A review
title_short Meta-heuristic optimization methods applied to renewable distributed generation planning: A review
title_full Meta-heuristic optimization methods applied to renewable distributed generation planning: A review
title_fullStr Meta-heuristic optimization methods applied to renewable distributed generation planning: A review
title_full_unstemmed Meta-heuristic optimization methods applied to renewable distributed generation planning: A review
title_sort meta-heuristic optimization methods applied to renewable distributed generation planning: a review
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2021-01-01
description Due to its proven efficiency and computational speed, the most recent developed meta-heuristic optimization methods are widely used to better integrate renewable distributed generation (RDG) into the electricity grid. The main objective of this paper is to obtain a better knowledge of current trends in meta-heuristics applied to optimally integrate RDGs to the distribution network. This is a review of well known meta-heuristic approaches, used to solve the problem of optimal renewable distributed generation allocation planning (ORDGAP). In this context, some research gaps were mentioned, and recommendations were proposed to expand the scope of research in this field.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/10/e3sconf_icies2020_00086.pdf
work_keys_str_mv AT tarraqali metaheuristicoptimizationmethodsappliedtorenewabledistributedgenerationplanningareview
AT elmariamifaissal metaheuristicoptimizationmethodsappliedtorenewabledistributedgenerationplanningareview
AT belfqihaziz metaheuristicoptimizationmethodsappliedtorenewabledistributedgenerationplanningareview
AT haiditouria metaheuristicoptimizationmethodsappliedtorenewabledistributedgenerationplanningareview
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