Doctorat

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Subject: search.filters.subject.Renewable energy

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    Smart-grid supply continuity control
    (Université M'Hamed Bougara Boumerdès : Faculté de Technologie, 2025) Kaddour, Djillali; Belaidi, Hadjira(Directeur de thèse)
    This thesis investigates supply continuity in smart grids, emphasizing system reliability under both gridconnected and islanded conditions. It begins with a structured review of how integrating Distributed Energy Resources (DERs) and Energy Storage Systems (ESS) affects supply reliability, assessed using standard indices: System Average Interruption Duration Index (SAIDI), System Average Interruption Frequency Index (SAIFI), and Customer Average Interruption Duration Index (CAIDI). Building on this review, the thesis proposes an intelligent Energy Management System (EMS) paired with a Diesel Generator–Photovoltaic (DG–PV) synchronization strategy. This system ensures continuous operation in islanded mode, overcoming the limitations of traditional grid-tied setups. The EMS, implemented in MATLAB Simulink, applies advanced methods such as peak shaving and optimized resource sizing, using estimated load data from the Institute of Electrical and Electronic Engineering (IGEE) to manage energy flow and peak demand effectively. Comparative insights from the case study demonstrate that although grid-connected systems enable bidirectional power flow and benefit from net metering, they remain vulnerable to grid disturbances. In contrast, islanded mode offers full control and supervision over local resources and improves overall system reliability. To support the preference for islanded operation, the thesis also presents a proof-ofconcept implementation of an AC stand-alone photovoltaic (PV) system, managed by a Multi-Agent System (MAS) integrated with Internet of Things (IoT) technologies. This system employs prioritybased load control and peak shaving to maintain energy stability under varying conditions
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    Analysis of hybrid renewable energy sAnalysis of hybrid renewable energy systems integrating power-to- gas concept : performances optimizatioystems integrating power-to- gas concept : performances optimization based on artificial intelligence techniques
    (2019) Boubenia, Ahmed
    Today a strong and rising demand of energy is known because of the technological evolution in various sectors. In order to reduce greenhouse gas emissions from this energy production, the foremost nations have prioritized the development strategies of resources and energy systems that preserve the environment. In this thesis, a hybrid renewable energy system based on a combination of sustainable and fossil resources with an integration of the new "Power to Gas" concept was developed to explore the feasibility as well as the reliability of this system in a determined location in Algeria. This system consists of a solar and wind resource as well as a Micro Gas Turbine to supply variable power consumption while the excess energy is converted and stored as a gas either Hydrogen or Methane that will be used during production falls to compensate for the deficiency of energy. The management of this system is one of the most important factors which have led to the introduction of artificial intelligence techniques which is known by the fuzzy logic that ensures efficient performance for this system