| Issue |
E3S Web Conf.
Volume 234, 2021
The International Conference on Innovation, Modern Applied Science & Environmental Studies (ICIES2020)
|
|
|---|---|---|
| Article Number | 00086 | |
| Number of page(s) | 10 | |
| DOI | https://doi.org/10.1051/e3sconf/202123400086 | |
| Published online | 02 February 2021 | |
Meta-heuristic optimization methods applied to renewable distributed generation planning: A review
1 Energy and Electrical Systems Laboratory , National Superior School of Electricity and Mechanics (ENSEM), Hassan II University of Casablanca, B.P 8118, Oasis, Casablanca, Morocco
2 Networks, Informatics, Telecommunications and Multimedia Laboratory, High School of Technology (EST), Hassan II University of Casablanca, B.P 8012, Oasis, Casablanca, Morocco
3 Automatic, Electrical Systems and Renewable Energies Laboratory, Hassania School of Public Works (EHTP), Hassan II University of Casablanca, B.P 8108, Oasis, Casablanca, Morocco
* Corresponding author: ali.tarraq@ensem.ac.ma
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.
© The Authors, published by EDP Sciences, 2021
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