An Algorithmic Benchmark of Tolerance-Bounded Minimum-Peak Battery Dispatch on a Minute-Resolution Household Load Series

Authors

  • Luis Eduardo Muñoz Guerrero Universidad Tecnológica de Pereira, Facultad de Ingenierías, Pereira, Risaralda, Colombia

DOI:

https://doi.org/10.67145/ks.v7i2.4154

Keywords:

peak shaving, energy storage, online algorithms, linear programming, threshold rules

Abstract

We compute the minimum one-minute peak of a battery with power and energy limits by bisection with an exact greedy test, to within 10−4 kW, and compare an online threshold rule with it over 119 seven-day windows of one household. With the threshold at the training 99th percentile and a 4 kWh, 3 kW battery, the median relative gap is 34.5% (95% CI 20.4–43.7%), rejecting H1 (median below 10%). Whenever the threshold is achievable, the rule’s peak equals it, so the gap mainly measures how the threshold is set. The bisection runs over ten times faster than a linear programme.

 

 

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Published

2019-11-03

How to Cite

Luis Eduardo Muñoz Guerrero. (2019). An Algorithmic Benchmark of Tolerance-Bounded Minimum-Peak Battery Dispatch on a Minute-Resolution Household Load Series . Kurdish Studies, 7(2), 189–212. https://doi.org/10.67145/ks.v7i2.4154

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