Skip to Main content Skip to Navigation
Conference papers

Optimum sizing of hybrid PV/wind/battery system using Fuzzy-Adaptive Genetic Algorithm

Abstract : This paper proposes the optimum sizing methodology to optimize the configuration of hybrid energy system. For this, we use an approach for automatic fuzzy rule base generation and optimization by means of Fuzzy-Adaptive Genetic Algorithm, wich changes dynamically the crossover and mutation rates ensuring population diversity and avoiding premature convergence. This Algorithm allows us to obtain the optimal number of photovoltaic panels, wind turbines and storages units ensuring the minimal global high efficiency system total cost and guaranteeing the permanent availability of energy to cover the load energy requirements. Historical hourly wind speed, solar irradiance and load data are used to stochastically model the wind turbines, photovolaic generation and load. The total cost is the objective function and the technical size is a contraint.
Document type :
Conference papers
Complete list of metadatas

https://hal-utt.archives-ouvertes.fr/hal-02640408
Contributor : Jean-Baptiste Vu Van <>
Submitted on : Thursday, May 28, 2020 - 2:35:42 PM
Last modification on : Friday, May 29, 2020 - 3:31:02 AM

Identifiers

Collections

Citation

Abdelhak Ben Jemaa, Abdelaziz Hamzaoui, Najib Essounbouli, Faicel Hnaien, Farouk Yalaoui. Optimum sizing of hybrid PV/wind/battery system using Fuzzy-Adaptive Genetic Algorithm. 2013 3rd International Conference on Systems and Control (ICSC), Oct 2013, Algiers, Algeria. pp.810-814, ⟨10.1109/ICoSC.2013.6750951⟩. ⟨hal-02640408⟩

Share

Metrics

Record views

18