Adaptive Control Strategy for Active Power Sharing in Hybrid Fuel Cell/Battery Power Sources

Jiang, Zhenhua; Gao, Lijun; Dougal, Roger A.

doi:10.1109/tec.2005.853747

Cited by 113 publications

(43 citation statements)

References 11 publications

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“…The circles represent the SMES state of the system. The arrows indicate events changed from one SMES state to another, and each event happens under a corresponding condition that is unique to the present SMES state [10]. When the SMES is in standby anywhere in constant power mode (CPM) or constant voltage mode (CVM), the charge /discharge mode can be changed freely in accordance with the scheduled reference SMES power (conditions 1~3).…”

Section: Proposed Control Of I/v Convertermentioning

confidence: 99%

Energy Management Strategy and Adaptive Control for SMES in Power System with a Photovoltaic Farm

Kim¹,

Park²

2014

Journal of Electrical Engineering and Technology

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-This paper proposes an energy management strategy and adaptive control for superconducting magnetic energy storage (SMES) in a distribution power system with a gridconnected photovoltaic (PV) farm. Application of the SMES system can decrease the output power fluctuations of PV system effectively. Also, it can control the real and reactive powers corresponding to the scheduled reference values with adequate converter capacity, which are required at a steady-state operating point. Therefore, the adaptive control strategy for SMES plays a key role in improving the system stability when the PV generation causes uncertain variations due to weather conditions. The performance of proposed energy management strategy and control method for the SMES is then evaluated with several case studies based on the PSCAD/ EMTDC ® simulation.

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Section: Proposed Control Of I/v Convertermentioning

confidence: 99%

Energy Management Strategy and Adaptive Control for SMES in Power System with a Photovoltaic Farm

Kim¹,

Park²

2014

Journal of Electrical Engineering and Technology

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“…The energy management of multipower sources has been studied recently: for example, by Feroldi et al [38], who studied the control (based on the efficiency map) of a FC/supercapacitor hybrid power source for vehicle applications; by Jiang et al [39], who studied the control (based on adaptive control with statemachine estimation) of a FC/battery hybrid power source; by Li and Liu [40], who studied the control (using a fuzzy power control algorithm) of a FC/battery hybrid power source; and by Thounthong et al, whose work concerned a regulated dc-bus voltage FC/supercapacitor hybrid source (based on a basic linear controller operated by setting controller parameters that depend on a defined operating point) [16], a regulated dc-bus voltage FC/battery/supercapacitor hybrid source (based on a basic linear controller operated by setting controller parameters that depend on a defined operating point) [18] and an unregulated dc-bus voltage FC/battery hybrid source (based on the battery stateof-charge) [14]. Nevertheless, in these structures, there are still some aspects about the control laws that remain open to study, particularly in the area of dynamics, robustness, stability, and efficiency.…”

Section: A Literature Review: Control Of a Hybrid Power Sourcementioning

confidence: 99%

Analysis of Differential Flatness-Based Control for a Fuel Cell Hybrid Power Source

Thounthong

Pierfederici

Davat

2010

IEEE Trans. Energy Convers.

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Abstract-This paper presents an innovative control law for distributed dc generation supplied by a fuel cell (FC) (main source) and supercapacitor (auxiliary source). This kind of system is a multiconverter structure and exhibits nonlinear behavior. The operation of a multiconverter structure can lead to interactions between the controls of the converters if they are designed separately. Typically, interactions between converters are studied using impedance criteria to investigate the stability of cascaded systems. In this paper, a nonlinear control algorithm based on the flatness properties of the system is proposed. Flatness provides a convenient framework for meeting a number of performance specifications for the hybrid power source. Using the flatness property, we propose simple solutions to hybrid energy management and stabilization problems. The design controller parameters are autonomous of the operating point; moreover, interactions between converters are taken into account by the controllers, and high dynamics in disturbance rejection is achieved. To validate the proposed method, a hardware system is realized with analog circuits, and digital estimation is accomplished with a dSPACE controller. Experimental results with small-scale devices (a polymer electrolyte membrane FC of 1200 W, 46 A and a supercapacitor module of 100 F, 500 A, and 32 V) in a laboratory corroborate the excellent control scheme during a motor-drive cycle.

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“…and the output from the power source is passively controlled according to the system behavior [9][10][11]. In contrast, an active method employs a power management system, establishes control strategies, and controls the terminal voltage of each power source independently of the bus voltage [12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Comparison Study on Power Output Characteristics of Power Management Methods for a Hybrid-electric UAV with Solar Cell/Fuel Cell/Battery

Lee¹,

Kwon²

2016

International Journal of Aeronautical and Space Sciences

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A dual-mode power management for a hybrid-electric UAV with a cruise power of 200W is proposed and empirically verified. The subject vehicle is a low-speed long-endurance UAV powered by a solar cell, a fuel cell, and a battery pack, which operate in the same voltage bounds. These power sources of different operational characteristics can be managed in two different methods: passive management and active management. This study proposes a new power management system named PMS2, which employs a bypass circuit to control the individual power sources. The PMS2 normally operates in active mode, and the bypass circuit converts the system into passive mode when necessary. The output characteristics of the hybrid system with the PMS2 are investigated under simulated failures in the power sources and the conversion of the power management methods. The investigation also provides quantitative comparisons of efficiencies of the system under the two distinct power management modes. In the case of the solar cell, the efficiency difference between the active and the passive management is shown to be 0.34% when the SOC of the battery is between 25~65%. However, if the SOC is out of this given range, i.e. when the SOC is at 90%, using active management displays an improved efficiency of 6.9%. In the case of the fuel cell, the efficiency of 55% is shown for both active and passive managements, indicating negligible differences.

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Adaptive Control Strategy for Active Power Sharing in Hybrid Fuel Cell/Battery Power Sources

Cited by 113 publications

References 11 publications

Energy Management Strategy and Adaptive Control for SMES in Power System with a Photovoltaic Farm

Energy Management Strategy and Adaptive Control for SMES in Power System with a Photovoltaic Farm

Analysis of Differential Flatness-Based Control for a Fuel Cell Hybrid Power Source

Comparison Study on Power Output Characteristics of Power Management Methods for a Hybrid-electric UAV with Solar Cell/Fuel Cell/Battery

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