Averaging favors MPC: How typical evaluation setups overstate MPC performance for residential battery scheduling

Residential prosumers with PV-battery systems increasingly manage their electricity exchange with the power grid to minimize costs. This study investigates the performance of Model Predictive Control (MPC) and Rule-Based Control (RBC) under 15/30/60 min averaging commonly used in research, when Net Billing and battery degradation are considered. We simulate five consecutive months for 15 buildings in northern Germany, generating costs at up to 1-min resolution while scheduling at 15/30/60 min. We find that time-averaged evaluations make MPC look consistently better than RBC, yet when costs are recomputed at minute-level ground-truth, the reported advantage shrinks by 69% on average for hourly schedulers. For individual buildings, the finer evaluation can reverse conclusions, and simple RBC can achieve lower total costs than an MPC with perfect foresight. These findings caution against drawing conclusions from coarse averages and show how a fair assessment of battery scheduling approaches can be obtained.

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Publication Details

Journal
Electric Power Systems Research
Published
2026-07-23
DOI
https://doi.org/10.1016/j.epsr.2026.113517
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Averaging favors MPC: How typical evaluation setups overstate MPC performance for residential battery scheduling

Ralf Mikut, Veit Hagenmeyer, Janik Pinter, Frederik Zahn et al.
Electric Power Systems Research
Smart Grid Energy Management
article

Averaging favors MPC: How typical evaluation setups overstate MPC performance for residential battery scheduling

Ralf Mikut, Veit Hagenmeyer, Janik Pinter, Frederik Zahn, Maximilian Beichter
article en

Abstract

Residential prosumers with PV-battery systems increasingly manage their electricity exchange with the power grid to minimize costs. This study investigates the performance of Model Predictive Control (MPC) and Rule-Based Control (RBC) under 15/30/60 min averaging commonly used in research, when Net Billing and battery degradation are considered. We simulate five consecutive months for 15 buildings in northern Germany, generating costs at up to 1-min resolution while scheduling at 15/30/60 min. We find that time-averaged evaluations make MPC look consistently better than RBC, yet when costs are recomputed at minute-level ground-truth, the reported advantage shrinks by 69% on average for hourly schedulers. For individual buildings, the finer evaluation can reverse conclusions, and simple RBC can achieve lower total costs than an MPC with perfect foresight. These findings caution against drawing conclusions from coarse averages and show how a fair assessment of battery scheduling approaches can be obtained.

Electric Power Systems ResearchVol. 264
Karlsruhe Institute of Technology (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 16%
Smart Grid Energy Management
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