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Robust load frequency control in a smart microgrid with PHEV-based V2G control
(2012-06-12)
Vachirasricirikul, Sitthidet
;
Ngamroo, Issarachai
This paper focuses on a new design of frequency controller for robust load frequency control (LFC) in a smart isolated microgrid (MG) system with plug-in hybrid electric vehicles (PHEV)-based vehicle-to-grid (V2G) control and wind farms. The V2G control can compensate the unbalance of real power in system. The state-of-charge (SOC) of battery can be managed by using the SOC balance control method. The studied frequency controller structure is a proportional integral (PI) with a single input. The multiplicative uncertainty is used to model the system uncertainties. To improve both robust stability margin and performance, the PI control parameters are automatically designed by the particle swarm optimization (PSO) based on the specified-structure mixed H <inf>2</inf>/H <inf>∞</inf> control method. Simulation results exhibit the superior robustness and performance of the proposed controller against the system parameters change.
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Heuristic optimization based-fixed structure robust H∞ loop shaping controller design with automatic weights selection of controllable distributed generations for Microgrid stabilization
(2012-01-01)
Vachirasricirikul, Sitthidet
;
Ngamroo, Issarachai
In the microgrid with wind and solar power generations, the power fluctuation from such intermittent sources is an inevitable problem. To handle such situation, the distributed generations (DG) with controllable power i.e., electrolyzer (ES) and microturbine (MT) can be applied. This paper proposes a heuristic optimization based-fixed structure robust H<inf>∞</inf> loop shaping controller design with automatic weights selection of controllable DGs for microgrid stabilization. To guarantee the system robust stability margin, the normalized coprime factorization is applied to represent unstructured uncertainties. The proportional integral (PI) is selected as the controller structure of ES and MT. For comparison purpose, the particle swarm optimization (PSO) and genetic algorithm (GA) are applied to optimize the PI parameters based on the H<inf>∞</inf> loop shaping design. Simulation results show that the PSO-based control design is superior to GA-based controller design in terms of computation efficiency, robustness against system uncertainties and stabilizing effect. © 2012 Praise Worthy Prize S.r.l. - All right reserved.
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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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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
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Ngamroo, Issarachai
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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.
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Application of electrolyzer system to enhance frequency stabilization effect of microturbine in a microgrid system
(2009-09-01)
Vachirasricirikul, Sitthidet
;
Ngamroo, Issarachai
;
Kaitwanidvilai, Somyot
It is well known that the power output of microturbine can be controlled to compensate for load change and alleviate the system frequency fluctuations. Nevertheless, the microturbine may not adequately compensate rapid load change due to its slow dynamic response. Moreover, when the intermittent power generations from wind power and photovoltaic are integrated into the system, they may cause severe frequency fluctuation. In order to study the fast dynamic response, this paper applies electrolyzer system to absorb these power fluctuations and enhance the frequency control effect of microturbine in the microgrid system. The robust coordinated controller of electrolyzer and microturbine for frequency stabilization is designed based on a fixed-structure H<inf>∞</inf> loop shaping control. Simulation results exhibit the robustness and stabilizing effects of the proposed coordinated electrolyzer and microturbine controllers against system parameters variation and various operating conditions. Crown Copyright © 2009.

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