2022
DOI: 10.3389/fenrg.2022.965812
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Power allocation method of battery energy storage system considering state balance in smoothing photovoltaic power fluctuations

Abstract: Aiming at the imbalances of SOC (state of charge, SOC) and SOH (state of health, SOH) for battery energy storage system (BESS) in smoothing photovoltaic power fluctuations, a power allocation method of BESS is proposed. Firstly, the hierarchical structure of the power allocation method is given, including acquisition of the grid-connected photovoltaic power reference and double-layer power allocation strategy for BESS. Secondly, a swing door trend algorithm optimized by the improved Aquila optimizer is devised… Show more

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Cited by 3 publications
(2 citation statements)
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“…Many smooth measures have been developed to smooth PV power fluctuation, which are necessary for grid-connected PV [6]. The battery energy storage system (BESS) has been reported to smooth the fluctuation of PV power [7], and obtain grid-connected PV power by improving the swing gate trend algorithm through the Aquila optimizer. Moreover, the dynamic grouping principle, considering the state of health (SOH) and state of charge (SOC) of the battery, is designed to effectively smooth the power fluctuation of PV and balance SOH and SOC more quickly and accurately.…”
Section: Introductionmentioning
confidence: 99%
“…Many smooth measures have been developed to smooth PV power fluctuation, which are necessary for grid-connected PV [6]. The battery energy storage system (BESS) has been reported to smooth the fluctuation of PV power [7], and obtain grid-connected PV power by improving the swing gate trend algorithm through the Aquila optimizer. Moreover, the dynamic grouping principle, considering the state of health (SOH) and state of charge (SOC) of the battery, is designed to effectively smooth the power fluctuation of PV and balance SOH and SOC more quickly and accurately.…”
Section: Introductionmentioning
confidence: 99%
“…In order to better play the value of the energy storage device, it is necessary to optimize the location and capacity of the energy storage device. Literature [1] introduced the capacity optimization allocation method of energy storage power station, but did not analyze the installation position of energy storage power station. Literature [2] conducted a comprehensive evaluation from the technical perspective of energy storage, but did not conduct an evaluation and analysis from the economic perspective.…”
Section: Introduction *mentioning
confidence: 99%