Browsing by Author "Recioui, Abdelmadjid (supervisor)"

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    Emulation of smart metering in smart grids
    (2019) Alili, Nesrine; Labadi, Roufeyda; Recioui, Abdelmadjid (supervisor)
    Modern smart grids utilize advanced communications, automated control and many other sophisticated technologies and also promote a two-way communication technology that integrates the influence of both utility providers and end-users, by mean of an Automatic Metering Infrastructure (AMI). The conventional energy meter is somehow not suitable for long operating purposes as it spends much human and material resource. Smart meter, part of the AMI is a device that performs advanced functions including electrical energy consumption recording of residential/industrial users, billing, real time monitoring and load balancing.In this work, an illustration of smart home prototype is implemented and simulated; appliances are powered by the grid during daytime and a Photovoltaic panel stored power during the night or in case of an electricity outage. The consumed power from both sources is sensed and further processed for cumulative energy, cost calculations and bill establishment using LABVIEW software. Data are communicated via a USB Data acquisition Card (DAQ-USB 6008). At the end, a simulation framework using LABVIEW software models four houses each equipped with various appliances, the simulator predicts different power consumption profiles for seek of peak-demand reduction through a load control process. A manual and an automatic load control is tested on the designed house as an application on smart metering load control.
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    Optimization techniques based PID tunning
    (2021) Rechid, Mohammed Sadek; Djedi, Lahcen; Recioui, Abdelmadjid (supervisor)
    This work presents a several metaheuristic methods employed to enhance the capability of traditional techniques tuning of a Proportional-Integral-Derivative (PID) controller for an Automatic Voltage Regulator (AVR) system. The presented approaches referred to as Particle Swarm optimization (PSO) algorithm, Cuckoo Search optimization (CSO) algorithm, Moth Flame optimization (MFO) algo- rithm, Water Cycle optimization (WCO) algorithm, Teaching-Learning Based optimization (TLBO) algorithm and Hill Climbing optimization (HCO) algorithm. In order to achieve optimal transient re- sponse and improved stability of the considered AVR system, a conventional and modified objective functions are employed to obtain optimized PID controller gains. After that, the step response com- pared with some approaches in literature to show the superiority of our optimized PID controllers, and the root locus, bode plot, robustness and disturbance rejection ability analysis are performed to test the stability of the optimized AVR system. According to the comparison and analysis results, the proposed optimization algorithms based PID controller improve the tracking behaviors of the AVR system, making it suitable for synchronous generator terminal voltage stability.