Browsing by Author "Kaddour, Djillali"

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AC Loads Supply Continuity in Connected and Islanded Microgrids Systems
(2023) Kaddour, Djillali; Belaidi, Hadjira; Belaidi, Dehia; Faouzi, Didi
In the pursuit of establishing a sustainable and highly reliable microgrid, the continual operation and system dependability in both grid-connected and islanded configurations emerge as paramount objectives. Our vision centers on the implementation of an intelligent Energy Management System (EMS), complemented by cutting-edge optimization techniques and well-suitable resource sizing. These synergistic components empower the microgrid to adeptly manage peak demands, surmounting even the most adverse weather conditions, all the while liberating it from external resources or any additional draw from the grid facility. Conducting a compelling case study, we delve into the efficiency of our EMS algorithm, thoughtfully realized through MATLAB Simulink, by analyzing pertinent load profiles and power consumption data from buildings within our esteemed institution, IGEE (Institute of Electrical and Electronic Engineering). To transcend the confines of conventional grid-tied PV systems Inverter, we ingeniously propose a novel approach, coordinating a Diesel Generator-Photovoltaic panel (DG-PV) synchronization, thereby seamlessly enabling the grid-tied PV system to function in off-grid scenarios. This concept lies in achieving optimal performance through the deployment of uniform Distributed Energy Resources (DERs) sizes for Photovoltaic (PV) and Battery Energy Storage Systems (BESS) in both grid-connected and islanded modes. Supplemented by sophisticated control algorithms and real-time monitoring, the microgrid flawlessly transits between operational modes, ensuring unrivaled efficiency and unwavering dependability.
Battery's Data Transmission Protocol
(Algerian journal of signals and system, 2025) Zermout, Abdelaziz; Saidi, Yasmine; Kaddour, Djillali; Belaid, Hadjira; Adaika ,Omnia; Bahoussi, Nedjwa
This paper examines developing and implementing a robust communication protocol designed for real-time monitoring and control of battery systems. The implemented system gathers critical data from the battery, including voltage, current, and State of Charge (SoC). This data is transmitted to a Raspberry Pi microcontroller at five-second intervals. The Raspberry Pi serves as an intermediary, forwarding the data to a dedicated webpage for visualization and analysis. Furthermore, the data is stored in an InfluxDB database, facilitating long-term storage and utilization. This database supports the generation of graphical representations, thereby enhancing the interpretation of battery performance trends and enabling informed decision-making regarding battery management strategies. The comprehensive nature of this system provides real-time insights into battery health and performance, ensuring effective monitoring and control across various applications.
Grid-Connected and Grid-Islanded Energy Consumption Management
(2023) Kaddour, Djillali; Hadjira, Belaidi; Belaidi, Dehia
Ensuring microgrid continuity and improving system reliability in grid-connected and islanded modes is crucial for a reliable and sustainable power system. With intelligent EMS (Energy Management System), appropriate sizing, and resource optimization, the microgrid can handle the peak demand even under challenging weather conditions, in both (Connected/Islanded) modes without consuming any extra power from the grid facility or any external resources yet maintaining a reliable power supply. In this paper, a case study of load profile and power consumption estimation of some buildings in our institution IGEE (Institute of Electrical and Electronic Engineering) is used to test and illustrate our EMS performance via MATLAB Simulink. The DG-PV (Diesel Generator-Photovoltaic panel) synchronization technique is adopted to overcome the grid-tied PV system limitation and make it functional in off-grid mode. We used The same DERs (Distributed Energy Resources) sizing for (PV and BESS (Battery Energy Storage System)) in both modes, with advanced control algorithms and monitoring to ensure that our microgrid can have the ability to operate in both modes with a smooth transition from one to another. Hence, by improving the overall system reliability and continuity, we can benefit from all the microgrid mode's advantages to make our system work more efficiently and sustainably.
Impact of integrating DERs and ESS on Smart-Grid supply continuity : a review
(IEEE, 2022) Kaddour, Djillali; Belaidi, Hadjira
Smart-grid power distribution system's ideal objective is to provide a continuous power supply. The voltage waveform, Frequency also amplitude must meet their expected values in all respects, defining the power supply's quality. Electric distribution system continuity is essential for utilities as well as consumers. Progress in the economy, public health, and general well-being are all affected by the continuity and reliability of the power-grid distribution system. When the power supply goes down, The term "interruption of supply" or simply "interruption" is used to describe this. From the client's point of view, less frequent and briefer interruptions improve supply quality and continuity. By integrating distributed energy resources (DERs) and energy storage systems (ESS) into the power grid, reliability and continuity of power supply in the Smart-grid distribution system will increase. It is necessary to use continuity indicators, also known as "continuity indices" or "reliability indices", to quantify the continuity of the power supply. The main indices used in most countries are the SAIDI, SAIFI, and CAIDI. These indices are specified in IEEE Std. 1366. In this work, various studies are discussed and some researches on supply continuity in smart grids and the effects of integrating DERs and ESS on the reliability and continuity of power supply based on continuity indicators (SAIFI, SAIDI and CAIDI) are reviewed. Case studies on African countries is also included to demonstrate the usefulness and significance of continuity indicators to evaluate the grid distribution system's continuity
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