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RISS 인기검색어
- 검색키워드
- 저자 : David A. Cartes (검색결과 4 건)
- 무료
- 기관 내 무료
- 유료
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Control Methods of Inverter-Interfaced Distributed Generators in a Microgrid System
Il-Yop Chung,Wenxin Liu,Cartes, David A,Collins, Emmanuel G,Seung-Il Moon IEEE 2010 IEEE transactions on industry applications Vol.46 No.3
<P>Microgrids are a new concept for future energy distribution systems that enable renewable energy integration and improved energy management capability. Microgrids consist of multiple distributed generators (DGs) that are usually integrated via power electronic inverters. In order to enhance power quality and power distribution reliability, microgrids need to operate in both grid-connected and island modes. Consequently, microgrids can suffer performance degradation as the operating conditions vary due to abrupt mode changes and variations in bus voltages and system frequency. This paper presents controller design and optimization methods to stably coordinate multiple inverter-interfaced DGs and to robustly control individual interface inverters against voltage and frequency disturbances. Droop-control concepts are used as system-level multiple DG coordination controllers, and control theory is applied to device-level inverter controllers. Optimal control parameters are obtained by particle-swarm-optimization algorithms, and the control performance is verified via simulation studies.</P>
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Decentralized Neural Network-based Excitation Control of Large-scale Power Systems
Wenxin Liu,Jagannathan Sarangapani,Ganesh K. Venayagamoorthy,Li Liu,Donald C. Wunsch II,Mariesa L. Crow,David A. Cartes 대한전기학회 2007 International Journal of Control, Automation, and Vol.5 No.5
This paper presents a neural network based decentralized excitation controller design for large-scale power systems. The proposed controller design considers not only the dynamics of generators but also the algebraic constraints of the power flow equations. The control signals are calculated using only local signals. The transient stability and the coordination of the subsystem control activities are guaranteed through rigorous stability analysis. Neural networks in the controller design are used to approximate the unknown/imprecise dynamics of the local power system and the interconnections. All signals in the closed loop system are guaranteed to be uniformly ultimately bounded. To evaluate its performance, the proposed controller design is compared with conventional controllers optimized using particle swarm optimization. Simulations with a three-machine power system under different disturbances demonstrate the effectiveness of the proposed controller design.
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Controller Optimization for Bidirectional Power Flow in Medium-Voltage DC Power Systems
Il-Yop Chung,Wenxin Liu,David A. Cartes,Soo-Hwan Cho,Hyun-Koo Kang 대한전기학회 2011 Journal of Electrical Engineering & Technology Vol.6 No.6
This paper focuses on the control of bidirectional power flow in the electric shipboard power systems, especially in the Medium-Voltage Direct Current (MVDC) shipboard power system. Bidirectional power control between the main MVDC bus and the local zones can improve the energy efficiency and control flexibility of electric ship systems. However, since the MVDC system contains various nonlinear loads such as pulsed power load and radar in various subsystems, the voltage of the MVDC and the local zones varies significantly. This voltage variation affects the control performance of the bidirectional DC-DC converters as exogenous? disturbances. To improve the control performance regardless of uncertainties and disturbances, this paper proposes a novel controller design method of the bidirectional DC?C converters using L1 control theory and intelligent optimization algorithm. The performance of the proposed method is verified via large-scale real-time digital simulation of a notional shipboard MVDC power system.
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Controller Optimization for Bidirectional Power Flow in Medium-Voltage DC Power Systems
Chung, Il-Yop,Liu, Wenxin,Cartes, David A.,Cho, Soo-Hwan,Kang, Hyun-Koo The Korean Institute of Electrical Engineers 2011 Journal of Electrical Engineering & Technology Vol.6 No.6
This paper focuses on the control of bidirectional power flow in the electric shipboard power systems, especially in the Medium-Voltage Direct Current (MVDC) shipboard power system. Bidirectional power control between the main MVDC bus and the local zones can improve the energy efficiency and control flexibility of electric ship systems. However, since the MVDC system contains various nonlinear loads such as pulsed power load and radar in various subsystems, the voltage of the MVDC and the local zones varies significantly. This voltage variation affects the control performance of the bidirectional DC-DC converters as exogenous disturbances. To improve the control performance regardless of uncertainties and disturbances, this paper proposes a novel controller design method of the bidirectional DC-DC converters using $L_1$ control theory and intelligent optimization algorithm. The performance of the proposed method is verified via large-scale real-time digital simulation of a notional shipboard MVDC power system.
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