Browsing by Author "Labbi, Y."

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    Application Of A Particle Swarm Optimization In An Optimal Power Flow
    (University of Eloued جامعة الوادي, 2010-07-01) Ben Attous, D.; Labbi, Y.
    In this paper an efficient and Particle Swarm Optimization (PSO) has been presented for solving the economic dispatch problem. The objective is to minimize the total generation fuel and keep the power outputs of generators; bus voltages and transformer tap setting in their secure limits. The conventional load flow and incorporation of the proposed method using PSO has been examined and tested for standard IEEE 30 bus system. The PSO method is demonstrated and compared with conventional OPF method (NR, Quasi Newton), and the intelligence heuristic algorithms such ac genetic algorithm, evolutionary programming. From simulation results it has been found that PSO method is highly competitive for its better general convergence performance.
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    Particle Swarm Optimization Based Of The Maximum Photovoltaic Power Tractioqg Under Different Conditions
    (University of Eloued جامعة الوادي, 2010-01-01) Labbi, Y.; Ben Attous, D.; Sarhoud, H.
    Photovoltaic electricity is seen as an important source of renewable energy. The photovoltaic array is an unstable source of power since the peak power point depends on the temperature and the irradiation level. A maximum peak power point tracking is then necessary for maximum efficiency. In this work, a Particle Swarm Optimization (PSO) is proposed for maximum power point tracker for photovoltaic panel, are used to generate the optimal MPP, such that solar panel maximum power is generated under different operating conditions. A photovoltaic system including a solar panel and PSO MPP tracker is modelled and simulated, it has been has been carried out which has shown the effectiveness of PSO to draw much energy and fast response against change in working conditions.