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Author: search.filters.author.Pothiya, Saravuth

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    Multiple tabu search algorithm for economic dispatch problem considering valve-point effects
    (2011-05-01)
    Sa-Ngiamvibool, Worawat
    ;
    Pothiya, Saravuth
    ;
    Ngamroo, Issarachai
    This paper presents a multiple tabu search (MTS) algorithm to solve the economic dispatch (ED) problem by taking valve-point effects into consideration. The practical ED problem with valve-point effects is represented as a non-smooth optimization problem with equality and inequality constraints that make the problem of finding the global or near global optimum difficult. The proposed MTS algorithm is the sequential execution of individual tabu search (TS) algorithm simultaneously by only one personal microcomputer. The MTS algorithm introduces additional techniques for improvement of search process, such as initialization, adaptive searches, multiple searches, replacing and restarting process. To show its effectiveness, the MTS is applied to test two studied systems consisting of 13 and 40 power generating units with valve-point effects. The optimized results by MTS are compared with those of conventional approaches, such as simulated annealing (SA), genetic algorithm (GA), TS algorithm and particle swarm optimization (PSO). Studied results confirm that the proposed MTS approach is capable of obtaining higher quality solution efficiently and lowest computational time. © 2011 Elsevier Ltd. All rights reserved.
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    Ant colony optimisation for economic dispatch problem with non-smooth cost functions
    (2010-06-01)
    Pothiya, Saravuth
    ;
    Ngamroo, Issarachai
    ;
    Kongprawechnon, Waree
    This paper presents a novel and efficient optimisation approach based on the ant colony optimisation (ACO) for solving the economic dispatch (ED) problem with non-smooth cost functions. In order to improve the performance of ACO algorithm, three additional techniques, i.e. priority list, variable reduction, and zoom feature are presented. To show its efficiency and effectiveness, the proposed ACO is applied to two types of ED problems with non-smooth cost functions. Firstly, the ED problem with valve-point loading effects consists of 13 and 40 generating units. Secondly, the ED problem considering the multiple fuels consists of 10 units. Additionally, the results of the proposed ACO are compared with those of the conventional heuristic approaches. The experimental results show that the proposed ACO approach is comparatively capable of obtaining higher quality solution and faster computational time. © 2009 Elsevier Ltd. All rights reserved.
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    Fuzzy logic PID-based SMES controller design using bee colony optimization for stabilization of inter-area oscillation
    (2009-10-22)
    Chaiyatham, Theerawut
    ;
    Ngamroo, Issarachai
    ;
    Pothiya, Saravuth
    ;
    Vachirasricirikul, Sitthidet
    This paper proposes a design of Fuzzy Logic based-Proportional-Integral- Derivative (FLPID) controller of Superconducting Magnetic Energy Storage (SMES) by a Bee Colony Optimization (BCO) for stabilization of inter-area oscillation in an interconnected power system. Conventionally, the scale factors, membership functions and control rules of FLPID are obtained by trial and error method or experiences of designers. To tackle this problem, the BCO is applied to simultaneously tune all control parameters of FLPID controller based on the minimization of the integral of time-multiplied absolute error of the generators speed difference between any two areas. Simulation results in a two-area four-machine power system show the superior stabilizing effect of the SMES with the proposed optimal FLPID controller in comparison with the SMES with conventional FLPID controller. ©2009 IEEE.
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    Optimal fuzzy logic-based PID controller for load-frequency control including superconducting magnetic energy storage units
    (2008-10-01)
    Pothiya, Saravuth
    ;
    Ngamroo, Issarachai
    This paper proposes a new optimal fuzzy logic-based-proportional-integral-derivative (FLPID) controller for load frequency control (LFC) including superconducting magnetic energy storage (SMES) units. Conventionally, the membership functions and control rules of fuzzy logic control are obtained by trial and error method or experiences of designers. To overcome this problem, the multiple tabu search (MTS) algorithm is applied to simultaneously tune PID gains, membership functions and control rules of FLPID controller to minimize frequency deviations of the system against load disturbances. The MTS algorithm introduces additional techniques for improvement of search process such as initialization, adaptive search, multiple searches, crossover and restarting process. Simulation results explicitly show that the performance of the optimum FLPID controller is superior to the conventional PID controller and the non-optimum FLPID controller in terms of the overshoot, settling time and robustness against variations of system parameters. © 2008 Elsevier Ltd. All rights reserved.
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    Application of multiple tabu search algorithm to solve dynamic economic dispatch considering generator constraints
    (2008-04-01)
    Pothiya, Saravuth
    ;
    Ngamroo, Issarachai
    ;
    Kongprawechnon, Waree
    This paper presents a new optimization technique based on a multiple tabu search algorithm (MTS) to solve the dynamic economic dispatch (ED) problem with generator constraints. In the constrained dynamic ED problem, the load demand and spinning reserve capacity as well as some practical operation constraints of generators, such as ramp rate limits and prohibited operating zone are taken into consideration. The MTS algorithm introduces additional mechanisms such as initialization, adaptive searches, multiple searches, crossover and restarting process. To show its efficiency, the MTS algorithm is applied to solve constrained dynamic ED problems of power systems with 6 and 15 units. The results obtained from the MTS algorithm are compared to those achieved from the conventional approaches, such as simulated annealing (SA), genetic algorithm (GA), tabu search (TS) algorithm and particle swarm optimization (PSO). The experimental results show that the proposed MTS algorithm approaches is able to obtain higher quality solutions efficiently and with less computational time than the conventional approaches. © 2007 Elsevier Ltd. All rights reserved.
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    Design of optimal fuzzy logic-based PID controller using Multiple Tabu Search algorithm for AGC including SMES units
    (2007-12-01)
    Pothiya, Saravuth
    ;
    Ngamroo, Issarachai
    ;
    Kongprawechnon, Waree
    This paper proposes a new optimization approach of a Fuzzy Logic based-Proportional-Integral-Derivative (FLPID) controller by the Multiple Tabu Search (MTS) algorithm for Automatic Generation Control (AGC) including Superconducting Magnetic Energy Storage (SMES) units. Conventionally, the membership functions and control rules of fuzzy logic control are obtained by trial and error method or experiences of designers. To overcome this problem, the MTS is applied to simultaneously tune PID gains, membership functions and control rules of FLPID controller to minimize frequency deviations of the system against load disturbances. The MTS algorithm introduces additional techniques for improvement of search process such as initialization, adaptive search, multiple searches, crossover and restarting process. Simulation results explicitly show that the performance of the proposed optimum FLPID controller is superior to the conventional PID controller and the non-optimum FLPID controller in terms of the overshoot, settling time and robustness against variations of system parameters. © 2007 RPS.