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Author: search.filters.author.Pothiya, S.

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    Optimal power flow problem solved by using Distributed Sobol particle swarm optimization
    (2010-07-30)
    Wannakarn, P.
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    Khamsawang, S.
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    Pothiya, S.
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    Jiriwibhakorn, S.
    The Distributed Sobol particle swarm optimization (DSPSO) algorithm was studies for solving optimal power flow problem (OPF), in this paper. In the proposed method, swarm size of the particles is separated in multi-groups and searching procedure is divided according with the swarm group. Reducing search space and high cost elimination are concluded in the DSPSO. The DSPSO was tested for solving two sizes of the OPF problem, six bus test system and IEEE-30 bus test system respectively. The numerical results obtain from the DSPSO were compare with many optimization methods, namely bee colony algorithm (BA), differential evolution algorithm (DE), genetic algorithm (GA), particle swarm optimization (PSO) and tabu search algorithm (TSA). The results show that the proposed method had faster convergence and better solution than the rest methods.
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    Design of optimal fuzzy logic-PID controller using bee colony optimization for frequency control in an isolated wind-diesel system
    (2009-12-16)
    Chaiyatham, T.
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    Ngamroo, I.
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    Pothiya, S.
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    Vachirasricirikul, S.
    Generally, the inevitable problems in the fuzzy logic-PID (FLPID) control design are the trial and error of the setting of scale factors, membership functions and control rules. To solve these problems, this paper proposes the optimal FLPID controller design using bee colony optimization (BCO) for the load frequency control in the microglia system. The considered microgrid is the hybrid wind-diesel isolated system. The BCO is applied to automatically optimize the FLPID controllers of governor in the diesel side and blade pitch control in the wind side. Simulation studies show the superior robustness of the optimal FLPID against system parameters variation in comparison with the optimal PID controller and the non-optimal FLPID controller.
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    Solving the economic dispatch problem by using differential evolution
    (2009-10-22)
    Khamsawang, S.
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    Wannakarn, P.
    ;
    Pothiya, S.
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    Jiriwibhakorn, S.
    This paper proposes an application of the differential evolution (DE) algorithm for solving the economic dispatch problem (ED). Furthermore, the regenerating population procedure added to the conventional DE in order to improve escaping the local minimum solution. To test performance of DE algorithm, three thermal generating units with valve-point loading effects is used for testing. Moreover, investigating the DE parameters is presented. The simulation results show that the DE algorithm, which had been adjusted parameters, is better convergent time than other optimization methods. ©2009 IEEE.
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    Distributed tabu search algorithm for solving the economic dispatch problem
    (2004-12-01)
    Khamsawang, S.
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    Pothiya, S.
    ;
    Boonseng, C.
    In this paper proposed a novel method based on simple Tabu Search Algorithm (TSA) to solves Economic Dispatch (ED) problem for thermal plants, which we call Distributed Tabu Search Algorithm (DTSA). This proposed method to improved TSA by addition distributed computation, local updating and global updating solutions to simple tabu search algorithm. The proposed method guarantees the near optimal solution and remarkably reduces the computation time. This proposed method is implemented with MATLAB program to solve economic dispatch problem with various case study. The results show that DTSA can converges to optimum solution faster than TSA and obtains the solution with high accuracy and less than Genetic Algorithm, Hopfield Neural Network and TSA. ©2004IEEE.
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    Solving the economic dispatch problem with tabu search algorithm
    (2002-01-01)
    Khamsawang, S.
    ;
    Boonseng, C.
    ;
    Pothiya, S.
    The application of Tabu Search Algorithm (TSA) technique to solve Economic Dispatch problem (ED) with non-smooth fuel cost function is reported in this paper. Results from MATLAB on Pentium III-500 MHz system for three case studies are presented. Effectiveness of method was compared with many conventional methods. Result shows that the proposed method can provide accurate solution with rapid convergence time and has the potential to be applied to other power engineering problem.