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Develop an optimal rule-based control scheme for battery energy storage systems to maximize power smoothing and enable hourly dispatch of intermittent solar and wind resources.

August 10, 2010IEEE Transactions on Sustainable Energy

Rule-Based Control of Battery Energy Storage for Dispatching Intermittent Renewable Sources

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Develop an optimal rule-based control scheme for battery energy storage systems to maximize power smoothing and enable hourly dispatch of intermittent solar and wind resources.
Formulated an optimal control framework accounting for battery operating constraints, including state of charge limits, charge and discharge current limits, and battery degradation.
Tested the performance of the rule-based control strategy using empirical generation data from an operational photovoltaic facility and a wind farm.
Demonstrated that the rule-based control algorithm smooths renewable generation fluctuations to align with hourly forecasted power schedules.
Confirmed that battery energy storage reliably absorbs variability in solar and wind generation while strictly maintaining operational battery constraints.

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Implication

Simulation study demonstrates effective hourly power dispatching in solar and wind farms, indicating improved grid stability for intermittent renewables.

Cite This Study

Teleke et al. (2010) studied this question.

synapsesocial.com/papers/6a16df302fcf950e00056120 https://doi.org/10.1109/tste.2010.2061880

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Implication

Simulation study demonstrates effective hourly power dispatching in solar and wind farms, indicating improved grid stability for intermittent renewables.

Rule-Based Control of Battery Energy Storage for Dispatching Intermittent Renewable Sources

Key Points

Discussion

Implication

Cite This Study

Rule-Based Control of Battery Energy Storage for Dispatching Intermittent Renewable Sources

Key Points

Discussion

Implication

Cite This Study

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