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Author: search.filters.author.Vachirasricirikul, SitthidetSubject: search.filters.subject.Robust control

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    Robust controller design of heat pump and plug-in hybrid electric vehicle for frequency control in a smart microgrid based on specified-structure mixed H2/H∞ control technique
    (2011-01-01)
    Vachirasricirikul, Sitthidet
    ;
    Ngamroo, Issarachai
    This paper proposes a new robust controller design of heat pump (HP) and plug-in hybrid electric vehicle (PHEV) for frequency control in a smart microgrid (MG) system with wind farm. The intermittent power generation from wind farm causes severe frequency fluctuation in the MG. To alleviate frequency fluctuation, the smart control of power consumption of HP and the power charging of PHEV in the customer side can be performed. The controller structure of HP and PHEV is a proportional integral derivative (PID) with single input. To enhance the performance and robustness against system uncertainties of the designed controller, the particle swarm optimization based-mixed H<inf>2</inf>/H<inf>∞</inf> control is applied to design the PID controllers of HP and PHEV. Simulation studies confirm the superior robustness and frequency control effect of the proposed HP and PHEV controllers in comparison to the conventional controller. © 2011.
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    Coordinated SVC and AVR for robust voltage control in a hybrid wind-diesel system
    (2010-12-01)
    Vachirasricirikul, Sitthidet
    ;
    Ngamroo, Issarachai
    ;
    Kaitwanidvilai, Somyot
    This paper proposes a robust control of voltage fluctuation due to the variation of reactive loads in an isolated wind-diesel hybrid power system using Static Var Compensator (SVC) and Automatic Voltage Regulator (AVR). The structure of the voltage controller of SVC and AVR is the proportional integral (PI) controller with single input. In the system modeling, a normalized coprime factorization is applied to represent possible unstructured uncertainties in the power system such as variation of system parameters and generating and loading conditions. Based on the H<inf>∞</inf> loop shaping, the performance and robust stability conditions of the control system are formulated as the optimization problem. The genetic algorithm is applied to solve an optimization problem and to achieve PI control parameters of SVC and AVR simultaneously. Simulation studies show the control effect and robustness of the proposed coordinated SVC and AVR. © 2010 Elsevier Ltd. All rights reserved.
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    Robust frequency control in the smart microgrid by heat pump and plug-in hybrid electric vehicle
    (2010-12-01)
    Rattanapornchai, Chalotorn
    ;
    Ngamroo, Issarachai
    ;
    Vachirasricirikul, Sitthidet
    This paper proposes a new controller design of heat pumps (HP) and plug-in hybrid electric vehicles (PHEV) for robust frequency control in a smart microgrid (MG) system with wind farm. The system frequency can be controlled by the smart power charging of HP and PHEV. The structure of power charge controller is a proportional integral derivative (PID) with single input. System uncertainties are modeled by the multiplicative uncertainty. By taking the robust stability margin into account, the particle swarm optimization (PSO) is applied to optimize the PID controller parameters of HP and PHEV concurrently based on specified-structure mixed H<inf>2</inf>/H<inf>∞</inf> control approach. Simulation results confirm the superior robustness and performance of the proposed control.
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    Design of robust control and monitoring system for microgrid stabilization
    (2009-10-22)
    Vachirasricirikul, Sitthidet
    ;
    Ngamroo, Issarachai
    ;
    Kaitwanidvilai, Somyot
    ;
    Chaiyatham, Theerawut
    This paper proposes a design of the robust control and monitoring system (RCMS) for stabilization of microgrid (MG) system. The power sources in MG consists of wind power (WP), photovoltaic (PV), micro-turbine (MT) and fuel cell (FC). Due to intermittent powers from WP, PV and load fluctuations, the MG stabilization of RCMS is performed by controlling the power outputs of MT and electrolyzer system (ES) in both islanding and interconnected utility grid operations. The structure of MT and ES controllers is the proportional integral (PI). By taking system uncertainties into account, control parameters of MT and ES are simultaneously optimized based on the particle swarm optimization (PSO) based fixed-structure H<inf>∞</inf> loop shaping control. Simulation results show the robustness and effectiveness of the proposed RCMS against the variation of system parameters and operating conditions. ©2009 IEEE.