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Item type:Item, Design of Optimal SMES Controller Considering SOC and Robustness for Microgrid Stabilization(2016-10-01) ;Ngamroo, IssarachaiVachirasricirikul, SitthidetThe microgrid with wind and photovoltaic (PV) power sources unavoidably encounters the power fluctuation problem. To solve this problem, the superconducting magnetic energy storage (SMES) can be used. Nevertheless, large power fluctuation from wind and PV sources, and severe system faults may cause the overcharge or deep-discharge state of SMES. These abnormal states highly degrade the dynamic performance of the SMES. To handle these situations, this paper concentrates on the new SMES power controller design considering state-of-charge (SOC), robustness, and optimal inductance of the superconducting coil for microgrid stabilization. The active and reactive power controllers of SMES are represented by the proportional-integral (PI) control. The SOC deviation control and the mixed H<inf>2</inf>/H<inf>∞</inf> control are proposed to optimize the SMES coil inductance and PI parameters. Simulation study is performed to signify the control effect of the proposed SMES. - Some of the metrics are blocked by yourconsent settings
Item type:Item, Improved H2/H∞ control-based robust PI controller design of SMES for suppression of power fluctuation in microgrid(2014-10-15) ;Vachirasricirikul, SitthidetNgamroo, IssarachaiIn the microgrid integrated with the renewable energy sources such as wind power and photovoltaic, the random power productions from such renewable sources may cause the severe power fluctuation problem. This paper focuses on a robust controller design of a superconducting magnetic energy storage (SMES) for stabilizing the power fluctuation in a microgrid. The proportional-integral (PI)-based damping controllers for active and reactive power control of SMES are optimally tuned based on the improved H<inf>2</inf>/H<inf>∞</inf> control with the automatic selection of the reference input. The particle swarm optimization is applied to achieve the optimal PI parameters automatically. Simulation results show that the power fluctuation from the renewable sources is greatly damped by robust SMES controller. - Some of the metrics are blocked by yourconsent settings
Item type:Item, Robust controller design of microturbine and electrolyzer for frequency stabilization in a microgrid system with plug-in hybrid electric vehicles(2012-12-01) ;Vachirasricirikul, SitthidetNgamroo, IssarachaiThis paper proposes a new robust controller design of microturbine (MT) and electrolyzer (ES) in a control and monitoring system (CMS) for frequency stabilization in a microgrid system with plug-in hybrid electric vehicles (PHEVs). In the studied microgrid, the MT is normally used to provide the main power to the loads while the ES absorbs the power from the system to produce the hydrogen as the fuel input for the power generation of the fuel cell. On the other hand, the large numbers of PHEVs are utilized in the consumer side. The concurrent charging powers of PHEVs cause a problem of severe frequency fluctuation in the microgrid. To solve this problem, the frequency stabilization of CMS is performed by controlling the power output of MT and ES. The controller structure of MT and ES is a proportional integral with a single input. To enhance the tracking performance and the robustness against system uncertainties of the designed MT and ES controllers, the control parameters are optimized by shuffled frog leaping algorithm based on specified-structure mixed H <inf>2</inf>/H <inf>∞</inf> control technique. Simulation results not only show the frequency stabilization effect against the random charging power of PHEVs but also the high robustness of the proposed robust MT and ES controllers against the system parameters variation. © 2012 Elsevier Ltd. All rights reserved. - Some of the metrics are blocked by yourconsent settings
Item type:Item, 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, SitthidetNgamroo, IssarachaiIn 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. - Some of the metrics are blocked by yourconsent settings
Item type:Item, Design of robust control and monitoring system for microgrid stabilization(2009-10-22) ;Vachirasricirikul, Sitthidet ;Ngamroo, Issarachai ;Kaitwanidvilai, SomyotChaiyatham, TheerawutThis 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. - Some of the metrics are blocked by yourconsent settings
Item type:Item, Application of electrolyzer system to enhance frequency stabilization effect of microturbine in a microgrid system(2009-09-01) ;Vachirasricirikul, Sitthidet ;Ngamroo, IssarachaiKaitwanidvilai, SomyotIt 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.
