Institut de Génie Electrique et d'Electronique

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    Pricing policy applied of power quality in smart metering system
    (2022) Djoudi, Abderrahmane; Siouda, Amir Abdelkodous; Recioui, A. (Supervisor)
    Meeting energy demands of the power system has been one of the main objectives of power engineers, but due to power quality issues, these demands are never satisfied. Power quality problems have existed in every power system, the more advanced the system, the higher probability for issues to occur, and the smart grid is no exception. In this project, a study of a residential area is implemented using the LabVIEW simulation software, in which the power of each house is monitored in real time, each house with its own appliances, meaning the power of the whole system is also monitored, both instantaneous and accumulative power, current, power factor, all elements for system assessment, also a billing policy of each individual house to see the total price to be paid for the power supplied. All these factors would help to analyze and overview the effect of power quality problems on the area both electrically and economically. The results of the simulation indicate that the pricing policy proposed is indeed effective for both sides of the grid, the supplier and the consumer.
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    Optimal placement of smart meters for fault detection in the distribution system
    (2022) Baali, Habiba; Recioui, A. (Supervisor)
    This work presents a method that combines a power system analysis program and genetic algorithm to identify a faulty section in a typical medium distribution network with DGs based on the optimal placement of smart meters. The project consists of two main parts, the first part deals with the penetration of DG units into the simple radial system. In this part, the analytical optimization method is used for optimal placement of DG units and Backward/Forward method is used for the load flow analysis. The optimal locations and size of the DGs have been determined by minimizing the power distribution loss. After the penetration of DGs, the second part introduces a method for fault detection in the presence of DGs based on the measurement of smart meters. The GA (genetic algorithm) is used for optimal placement of smart meters. For each part, the proposed method was evaluated and tested using MATLAB software and Matlab_Simulink. Results show that the power losses of the system were reduced after the penetration of DG units. In addition to the improvement of the voltage profile and the stability of the system in general. For the second part, the results show that the fault locating method by the optimal number of meters has good efficiency and accuracy in detecting three-phase faults.
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    Power quality in micro girds with electric vehicles
    (2022) Bensalem, Oussama A.; Haniche, Merzouk; Recioui, A. (Supervisor)
    Plug-in electric vehicles are becoming more practical and popular in developing countries being efficient and more environmentally friendly. They can act asloads as well as sources using a technique known as Vehicle-to-Grid which adds key features to a micro grid in the form of primary frequency regulation. In this work, a method called Decentralized Vehicle-to-Grid Control for Primary Frequency Regulation Considering Charging Demands is studied and modeled under MATLAB Simulink for different scenarios to see the impact of these electric vehicles on the micro grid’s frequency.
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    Solution of the economic dispatch problem using global algorithm
    (2021) Benmissoum, Abdellah; Khellas, Oussama; Recioui, A. (Supervisor)
    The concept of a microgrid system, when put in simple words, is a small-scale generation and deployment of power to a small geographical area in order to avoid transmission losses and maintain an uninterrupted power supply. It has been a mandatory protocol to implement the available renewable energy sources (RES) in order to minimize the emission of harmful pollutants to the atmosphere from the combustion of the fossil fuels. Economic load dispatch (ELD) deals with the optimal sizing of the distributed energy resources (DERs) by minimizing the fuel costs. Emission dispatch does the optimal sizing of the DERs sources by minimizing the number of pollutants released in the atmosphere. A multi-objective Combined Economic- Emission Dispatch (CEED) does the optimal DER sizing providing a compromised solution of minimizing both the fuel costs and pollutants emission. This work performs all ELD, emission dispatch and CEED on an islanded and renewable-integrated microgrid separately and a ten-unit Algerian Network using a recently developed novel Improved Harmony Search Algorithm (IHSA).
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    Load balancing in smart grids using multi-objective evolutionary optimization technique
    (2020) Abdi, Lina Amel; Recioui, A. (Supervisor)
    The work concerns the balance between the supplied and consumed power in a residential area. An optimization task is formulated and solved. The re-formulation of the optimization task to include renewables is also provided. It was revealed in the results that with the proposed optimization technique, a significant reduction in the energy usage cost and the waiting time of the appliances (delay) for residential consumers can be achieved.This work can be used in smart home and smart cities applications.
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    3D antenna array optimization using firefly algorithm
    (Université M’Hamed BOUGARA de Boumerdes : Institut de génie electrique et electronique (IGEE), 2019) Laouar, Abdelali; Recioui, A. (Supervisor)
    The design of antenna arrays in a cubic geometry is presented in this project. The decision variables considered for this synthesis problem is the amplitude excitations. The synthesis process is carried out by the technique of a new type of nature-inspired global optimization methodology in the design of an optimized cubic antenna array which ensures minimum side lobes and high directivity, this new optimization method is based on the reaction of a firefly to the light of other fireflies and it is known as Firefly Algorithm (FA) a population based iterative heuristic global optimization algorithm technique, developed by Xin-She Yang, for multi-dimensional and multi-modal problems, with the potential to implement constraints on the search domain. Simulation results, detailed by using an antenna array with isotropic elements and with cubic antenna optimized by Firefly algorithm, show that side lobe level is reduced significantly in non-uniform case. Besides, the directivity is not worse than that of the uniform one.
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    Low harmonic distortion and high efficiency power factor correction based on boost converter
    (2019) Smaini, Mohamed Anis; Recioui, A. (Supervisor)
    The increasing growth in the use of electronic equipments such as PC, laptops, portable electrical products and battery chargers which need AC-DC converters to provide power in recent years has resulted in a greater need to ensure that the line current harmonic content of any equipment connected to the ac mains is limited to meet regulatory legislation and recommended practices for power quality assurance (e.g., IEC 61000-3-2). This requirement is usually satisfied by incorporating some form of Power Factor Correction (PFC). In this project, an Active Power Factor Correction (PFC) circuit based on boost converter with its control system will be introduced, which is a relatively simple and low- cost circuit. The design and simulation of boost converter with Average Current Mode control in Continuous Conduction Mode (CCM) will be presented in order to achieve a high switching frequency and power factor, with a low total harmonic distortion and high efficiency.