Managing the Energy flow of a Self-Sustaining Multisource System through intelligent Management Techniques utilizing Artificial Intelligence

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dc.authorscopusidİlhami Çolak / 6602990030
dc.authorwosidİlhami Çolak / ABI-4240-2020
dc.contributor.authorSerir, Chafiaa
dc.contributor.authorRekioua, Djamila
dc.contributor.authorBensmail, Samia
dc.contributor.authorBelkaid, Abdelhakim
dc.contributor.authorÇolak, İlhami
dc.contributor.authorBelhoul, Talit
dc.contributor.authorMokrani, Zahra
dc.date.accessioned2025-04-18T10:52:53Z
dc.date.available2025-04-18T10:52:53Z
dc.date.issued2024
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü
dc.description.abstractThis paper proposes an efficient strategy for energy control in the isolated micro grid, comprising photovoltaic and wind power systems with battery storage systems. This strategy presents smart energy management (SEM) based on artificial intelligence techniques (AIT) such as the fuzzy logic controller (FLC). The SEM is designed to manage energy flows throughout the isolated micro grid, by extracting the maximum available energy during deviating constraints such as temperature, solar irradiance and wind speed, while maintaining energy quality and autonomy to meet charging requirements and ensure precise control of the battery's state of charge (SOC) over five states (Very High: SOCV.H, High: SOCH, Medium: SOCM, Low SOCL and Very Low SOCV.L) during charge and discharge. This is a significant improvement over traditional management systems that rely on two SOC states, namely SOCmin and SOCmax. Response behaviors are described and visualized in MATLAB Simulink. © 2024 IEEE.
dc.identifier.citationSerir, C., Rekioua, D., Bensmail, S., Belkaid, A., Colak, I., Belhoul, T., & Mokrani, Z. (2024, May). Managing the Energy flow of a Self-Sustaining Multisource System through intelligent Management Techniques utilizing Artificial Intelligence. In 2024 12th International Conference on Smart Grid (icSmartGrid) (pp. 517-520). IEEE
dc.identifier.doi10.1109/icSmartGrid61824.2024.10578268
dc.identifier.endpage520
dc.identifier.isbn979-835036161-2
dc.identifier.scopus2-s2.0-85199468415
dc.identifier.scopusqualityN/A
dc.identifier.startpage517
dc.identifier.urihttps://hdl.handle.net/20.500.12713/7224
dc.identifier.wosWOS:001266130300084
dc.identifier.wosqualityN/A
dc.indekslendigikaynakScopus
dc.indekslendigikaynakWeb of Science
dc.institutionauthorÇolak, İlhami
dc.institutionauthoridİlhami Çolak / 0000-0002-6405-5938
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof12th International Conference on Smart Grid, icSmartGrid 2024
dc.relation.publicationcategoryDiğer
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectArtificial İntelligence
dc.subjectEnergy Management
dc.subjectMicro Grid
dc.subjectPhotovoltaic
dc.subjectwind
dc.titleManaging the Energy flow of a Self-Sustaining Multisource System through intelligent Management Techniques utilizing Artificial Intelligence
dc.typeOther

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