Predictive power management strategies for stand-alone hydrogen systems: Lab-scale validation

Brka, Adel; Kothapalli, Ganesh; Al-Abdeli, Yasir M.

doi:10.1016/j.ijhydene.2015.06.081

Cited by 53 publications

(31 citation statements)

References 54 publications

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“…This can be applied when determining the time period and level of power commitment to the grid. Moreover, the future SOC% of energy storage can be used to control the switching of the dc-dc bidirectional converter and protective circuit, which can be effectively utilized to coordinate control of the OWC system as in [39]. In situations where SOC% closes up the maximum limit, maintaining the dc-link voltage can be achieved using a protective circuit, such as resistors, which dissipate extra energy [39].…”

Section: Power Management Systemmentioning

confidence: 99%

“…Moreover, the future SOC% of energy storage can be used to control the switching of the dc-dc bidirectional converter and protective circuit, which can be effectively utilized to coordinate control of the OWC system as in [39]. In situations where SOC% closes up the maximum limit, maintaining the dc-link voltage can be achieved using a protective circuit, such as resistors, which dissipate extra energy [39]. The PPMS has been used in [39] to manage the switching of components in stand-alone hydrogen systems with lead-acid BES and has validated PPMS over other power management systems (PMSs), such as rule-based.…”

Section: Power Management Systemmentioning

confidence: 99%

“…In situations where SOC% closes up the maximum limit, maintaining the dc-link voltage can be achieved using a protective circuit, such as resistors, which dissipate extra energy [39]. The PPMS has been used in [39] to manage the switching of components in stand-alone hydrogen systems with lead-acid BES and has validated PPMS over other power management systems (PMSs), such as rule-based. A similar strategy can be used to build an efficient and reliable OWC system with an ESS to minimize the energy lost and system cost with improved system dynamics.…”

Section: Power Management Systemmentioning

confidence: 99%

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Grid Integration and Power Smoothing of an Oscillating Water Column Wave Energy Converter

et al. 2018

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This paper applies model predictive control (MPC) for the power processing of an oscillating water column (OWC) wave energy conversion (WEC) system to achieve smooth power delivery to the grid. The particular air turbine design adopted in this study produces large power pulses ranging from 0 to 1 MW in magnitude, and thus, direct connection to the grid is practically impossible, especially in weak grid conditions. Therefore, energy storage is an essential element that should be integrated into this particular WEC system in order to absorb power pulses and thereby ensure smooth delivery of power to the grid. Taking into account the repetitive nature, duration, and magnitude of the power pulses, this study has chosen "supercapacitor" as the suitable energy storage technology. The supercapacitor energy storage (SCES) is integrated into the dc-link of the back-to-back power converter of the WEC system through a bidirectional dc-dc converter. In order to achieve the desired operation of this complex power converter arrangement, a finite control set MPC strategy is proposed in this paper. Performance of the proposed energy storage system (ESS) and control strategy are evaluated through computer simulations. Simulation results show that the proposed SCES system and the control strategy are able to achieve smooth power delivery to the grid amidst power pulses coming from the generator. exhale and inhale air streams through the open end of the chamber. Energy of the air stream is then converted into electricity with the aid of a turbine coupled generator. The commonly used turbines are bidirectional which extract energy from both the inhale and exhale streams.The Australian maritime college, in collaboration with the Wave Swell Energy Ltd., has developed a new OWC air turbine technology, which has been recognized as an efficient and simple design compared with many other OWC technologies [6,7]. This particular configuration has passive, non-return air flow valves built into its chamber, which activate during the exhale stage and equalize the pressure inside the chamber to the atmosphere, which allows the rising water column to reach its maximum height. This creates a higher differential pressure during the inhale stage resulting in high velocity air stream through the turbine. Since this particular air turbine extracts energy only during the inhale stage, the output power inherently becomes discrete pulses. These large and discrete power pulses create major operational issues, such as frequency deviations, voltage sags/swells, and instabilities if delivered to the grid without smoothing. Therefore, energy storage is an essential feature that should be incorporated into the power converter of the WEC system. Nevertheless, in contrast to wind energy or tidal energy turbines, where the rotational speed should be changed according to the wind speed or tidal flow speed, the unidirectional air-turbine used in this study does not necessarily require variable speed operation. Therefore, according to [8], the turbine speed can be ...

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Section: Power Management Systemmentioning

confidence: 99%

Section: Power Management Systemmentioning

confidence: 99%

Section: Power Management Systemmentioning

confidence: 99%

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Grid Integration and Power Smoothing of an Oscillating Water Column Wave Energy Converter

et al. 2018

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“…With the development of hydrogen utilization technology, hydrogen DC microgrids have been found in several studies, which rely on batteries for short-term energy storage whilst FC works as a long-term energy storage system. Various hybrid topologies and control methods have been proposed in [21][22][23][24][25][26]. Because of the stochastic output power of PV arrays and great wind generators fluctuation under varying weather conditions [27], controlling the power flow between FC systems and energy storage systems is a huge challenge for energy management strategy.…”

Section: Introductionmentioning

confidence: 99%

“…An on-off switch threshold control method depending on the battery state of charge (SOC) is used to manage the operation of the FC in Thounthong et al [22]. Brka et al [23] presents a predictive power management strategy, which predicts the load demand and the output power of renewable energy sources to switch the FC and batteries. In order to maintain the DC bus voltage and limit the battery and FC currents slope, an energy management strategy based on model predictive control is implemented in Amin et al [24] and.…”

Section: Introductionmentioning

confidence: 99%

Energy Management Strategy Based on Multiple Operating States for a Photovoltaic/Fuel Cell/Energy Storage DC Microgrid

Han

Chen

2017

Energies

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It is a great challenge for DC microgrids with stochastic renewable sources and volatility loads to achieve better operation performance. This study proposes an energy management strategy based on multiple operating states for a DC microgrid, which is comprised of a photovoltaic (PV) array, a proton exchange membrane fuel cell (PEMFC) system, and a battery bank. This proposed strategy can share the power properly and keep the bus voltage steady under different operating states (the state of charge (SOC) of the battery bank, loading conditions, and PV array output power). In addition, a microgrids test platform is established. In order to verify the effectiveness of the proposed energy management strategy, the strategy is implemented in a hardware system and experimentally tested under different operating states. The experimental results illustrate the good performance of the proposed control strategy for the DC microgrid under different scenarios of power generation and load demand.

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Implementing single- and multi-year sensitivity analyses to propose several feasible solutions for meeting the electricity demand in large-scale tourism sectors applying renewable systems

Jahangir

Mousavi

Zarchi

2021

Environ Dev Sustain

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Predictive power management strategies for stand-alone hydrogen systems: Lab-scale validation

Cited by 53 publications

References 54 publications

Grid Integration and Power Smoothing of an Oscillating Water Column Wave Energy Converter

Grid Integration and Power Smoothing of an Oscillating Water Column Wave Energy Converter

Energy Management Strategy Based on Multiple Operating States for a Photovoltaic/Fuel Cell/Energy Storage DC Microgrid

Implementing single- and multi-year sensitivity analyses to propose several feasible solutions for meeting the electricity demand in large-scale tourism sectors applying renewable systems

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