2022
DOI: 10.1088/1742-6596/2265/3/032106
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Economic nonlinear model predictive control of fatigue for a hybrid wind-battery generation system

Abstract: An economic nonlinear model predictive controller (ENMPC) is formulated for a wind turbine-battery hybrid generation system. The controller aims to maximize the operational profit of the generator by balancing between generated wind power and turbine tower fatigue as well as battery cyclic fatigue. Other than the tower fore-aft fatigue, tower side-side fatigue is also considered to assess impact on overall economic performance. A moving horizon estimator (MHE) is formulated to provide meaningful initialization… Show more

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Cited by 5 publications
(4 citation statements)
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“…The assumed battery consists of a model of the electrical equivalent circuit of a 6 MW/6 MWh lithium-ion unit including electrical, thermal, and degradation, sub-models. A detailed description of the modelling approach can be found in [17]. The wind farm and battery are connected to the electricity grid through a single point of interconnection.…”
Section: Predictive Performancementioning
confidence: 99%
See 1 more Smart Citation
“…The assumed battery consists of a model of the electrical equivalent circuit of a 6 MW/6 MWh lithium-ion unit including electrical, thermal, and degradation, sub-models. A detailed description of the modelling approach can be found in [17]. The wind farm and battery are connected to the electricity grid through a single point of interconnection.…”
Section: Predictive Performancementioning
confidence: 99%
“…The HPP revenue is estimated as a product of market price and respective power bids. The cost of battery damage is estimated and minimised directly using the parametric online rainflow counting approach [17]. The optimisation is subject to constraints to minimise deviations between the summed (pre-)bidding (for both the day-ahead and intra-day stages) and the operational set-point of the HPP.…”
Section: Predictive Performancementioning
confidence: 99%
“…Q always decreases over time and usage because of the permanent loss in the capacity of the battery due to the accumulated cyclic damage Q cyc . For a given set of SOC samples, Q cyc is calculated with a novel Rainflow cycle-counting algorithm (refer to [11] for details), which explicitly considers the impact of SOC residue samples. The battery thermal model captures the dynamics of battery temperature T b as…”
Section: Hybrid Power Plantmentioning
confidence: 99%
“…The battery cyclic damage costs C cyc t are formulated using the Parameteric Online Rainflow Counting (PORFC) approach, which allows direct consideration and minimization of cyclic damage [11]. The PORFC algorithm uses a pre-processing step to identify fatigue cycles for a given set of SOC samples, and splits the respective damages over the contributing samples.…”
Section: Hybrid Power Plant: Energy Management Systemmentioning
confidence: 99%