Browsing by Author "Labbi, Yacine"

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    Artificial bee colony optimization for economic dispatch with valve point effect
    (Higher Education Press, 2014-12) Labbi, Yacine; Ben Attous, Djilani; Mahdad, Belkacem
    In recent years, various heuristic optimization methods have been proposed to solve economic dispatch (ED) problem in power systems. This paper presents the well-known power system ED problem solution considering valve-point effect by a new optimization algorithm called artificial bee colony (ABC). The proposed approach has been applied to various test systems with incremental fuel cost function, taking into account the valve-point effects. The results show that the proposed approach is efficient and robust when compared with other optimization algorithms reported in literature.
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    A new rooted tree optimization algorithm for economic dispatch with valve-point effect
    (Elsevier, 2016-07-01) Labbi, Yacine; Ben Attous, Djilani; A Gabbar, Hossam; Mahdad, Belkacem; Zidan, Aboelsood
    This work proposes a new optimization method called root tree optimization algorithm (RTO). The robustness and efficiency of the proposed RTO algorithm is validated on a 23 standard benchmark nonlinear functions and compared with well-known methods by addressing the same problem. Simulation results show effectiveness of the proposed RTO algorithm in term of solution quality and convergence characteristics. In order to evaluate the effectiveness of the proposed method, 3-unit, 30 Bus IEEE, 13- unit and 15-units are used as case studies with incremental fuel cost functions. The constraints include ramp rate limits, prohibited operating zones and the valve point effect. These constraints make the economic dispatch (ED) problem a non-convex minimization problem with constraints. Simulation results obtained by the proposed algorithm are compared with the results obtained using other methods available in the literature. Based on the numerical results, the proposed RTO algorithm is able to provide better solutions than other reported techniques in terms of fuel cost and robustness
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    Particle swarm optimization based optimal power flow for units with non-smooth fuel cost functions
    (IEEE, 2009-11-15) Ben Attous, Djillani; Labbi, Yacine
    This paper presents a Particle Swarm Optimization (PSO) based algorithm for optimal flow with generating units having non-smooth fuel costs curves while statisfying the constraints such as generator capacity limits, power balance, line flow limits, bus voltages and transformer tap setting, The conventional loed 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 and the intelligence heuristic algorithm such as genetic algorithm, evolutionary programming. The superiority of th method over other methods has been demonstrated on two test cases. From simulation results, it has been found that PSO method is highly competitve for its better general convergence performance