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    Overlapping decompositions-based robust decentralized tabu search-optimized fixed structure H∞ frequency stabilizer design in interconnected power systems
    (2013-07-17)
    Ngamroo, Issarachai
    As interconnected power systems are subjected to load disturbances with changing frequency in the vicinity of the inter-area oscillation mode, the system frequency may severely oscillate. To stabilize frequency oscillation, the dynamic power flow control devices can be exploited. This paper focuses on a new robust decentralized fixed structure H<inf>∞</inf> frequency stabilizer design of power control devices based on overlapping decompositions. The tie-line between two interconnected systems can be treated as the overlapped variable so that the original system can be decomposed into two subsystems. The frequency stabilizer equipped with the power control device can be designed in each subsystem independently. The structure of frequency stabilizer is specified as the 2<sup>nd</sup>-order lead/lag compensator. To augment the system robust stability, the multiplicative uncertainty is employed to represent all unstructured system uncertainties. As a result, the multiplicative stability margin (MSM) can be used to guarantee the system robust stability. The control parameters of frequency stabilizer are optimized by a tabu search, so that the desired damping ratio of the target inter-area mode and the highest MSM are achieved. Two examples of power flow devices, i.e., high-voltage direct current transmission system and superconducting magnetic energy storage, are used to show the high performance and robustness against load disturbances and system parameters variation. © 2013 ICIC International.
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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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    A new hybrid intelligent method for assembly line balancing
    (2007-12-01)
    Suwannarongsri, S.
    ;
    Limnararat, S.
    ;
    Puangdownreong, D.
    A new hybrid intelligent method for solving assembly line balancing problems is proposed in this paper. The tabu search (TS) method and the genetic algorithm (GA) are combined to identify and provide solutions for assembly line balancing problems. The approach is named the TSGA-based method. With the proposed approach, the TS method can well address the number of tasks assigned for each workstation, whereas the GA can also assign the sequence of tasks for each workstation according to precedence constraints. In this paper, four single-model assembly line balancing problems from a survey of literature are tested against the proposed approach. From the simulation results compared with the conventional method, it was found that the proposed TSGA-based method is capable of producing solutions superior to the conventional method. It can be concluded that the TSGA-based method is an alternative potential algorithm to solve assembly line balancing problems. © 2007 IEEE.
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    A heuristic-based design of fuzzy SMES controller for stabilization of interconnected power system
    (2006-12-01)
    Dechanupaprittha, S.
    ;
    Mitani, Y.
    ;
    Watanabe, M.
    ;
    Hongesombut, K.
    ;
    Ngamroo, I.
    This paper presents a heuristic-based design of fuzzy logic controller for a superconducting magnetic energy storage (SMES) for stabilization of interconnected power system. Nowadays, a power system becomes complex due to increasing demand in electricity and power system network expansion. Subject to major disturbances, occurrence of power system oscillations is unavoidable. To alleviate the problem, the fuzzy SMES controller is applied in this paper. In particular, SMES has a simultaneous control scheme of active and reactive power. Moreover, the heuristic method, i.e. hybrid tabu search and evolutionary programming (Hybrid TS/EP) is employed to simultaneously optimize control rules and membership functions for fuzzy SMES controller. Consequently, the simulation results and evaluations based on a two-area four-machine power system are carried out to examine the performance and effectiveness of the designed fuzzy SMES controller.