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Item type:Publication, A robust centralized SMES controller design based on WAMS considering system and communication delay uncertainties(2011-04-01) ;Saejia, MongkolNgamroo, IssarachaiIt is well known that the communication delay due to the phasor measurement in wide area monitoring system (WAMS) as well as various system operating conditions such as heavy line flows and unpredictable network structures, may deteriorate the wide-area stabilizing control effect. To overcome this problem, the inverse input and output multiplicative model is proposed to represent unstructured uncertainties due to system operations and communication delay in the robust centralized damping controller design of superconducting magnetic energy storage (SMES) based on WAMS. The structure of centralized controller for SMES is the practical 1st-order lead/lag compensator. To automatically tune the control parameters, the optimization problem based on the enhancement of damping performance and system robust stability margin is achieved by particle swarm optimization. Simulation studies in the West Japan six-area interconnected system confirm that the proposed robust SMES centralized controller is superior to the conventional SMES centralized controller in terms of damping performance and robustness against system and time delay uncertainties. © 2010 Elsevier B.V. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Design of robust centralized PSS based on WAMS considering system and signal transmission delay uncertainties(2010-12-01) ;Saejia, MongkolNgamroo, IssarachaiIt is well known that the time delay due to the wide-area phasor measurement unit (PMU) as well as various system operations may deteriorate the stabilizing effect of wide area monitoring system (WAMS). To overcome this problem, this paper proposes the design of robust centralized power system stabilizer (PSS) for wide area stabilization taking uncertainties due to system operations and signal transmission delay into account. The uncertainties due to system operations and time delay are represented by the inverse input and output multiplicative model. The structure of centralized PSS controller is the practical second order lead/lag compensator. To automatically tune the control parameter, the optimization problem based on the enhancement of damping performance and system robust stability margin is achieved by particle swarm optimization. Simulation studies in the two-area four-machine interconnected power system confirm that the proposed robust PSS centralized controller is superior to the conventional PPS in terms of robustness against system and time delay uncertainties.
