SHU Qiqi, JI Su, ZHANG Yanfei, et al. Comprehensive error tracing and correction technology for electric energy metering in battery energy storage grid-connected scenarios[J]. Energy Storage Science and Technology, 2026, 15(9): 3784-3786.
SHU Qiqi, JI Su, ZHANG Yanfei, et al. Comprehensive error tracing and correction technology for electric energy metering in battery energy storage grid-connected scenarios[J]. Energy Storage Science and Technology, 2026, 15(9): 3784-3786.DOI: 10.19799/j.cnki.2095-4239.2026.0781.
With the continuous improvement of modern power systems
battery energy storage
as the core to alleviate the fluctuation issues of renewable energy
has seen a continuous increase in its grid-connected scale. Electric energy metering is crucial for grid settlement and energy efficiency evaluation of energy storage systems. However
the battery energy storage grid-connected scenario involves multiple factors
leading to comprehensive errors in electric energy metering. In response to this issue
this study provides a comprehensive review of electric energy metering errors and related traceability correction strategies in the battery energy storage grid-connected scenario. The comprehensive errors are decomposed into three core components: current transformer (CT) errors
potential transformer (PT) and secondary voltage drop errors
and electric energy meter errors. Then
combined with relevant online measurements and cross-validation calculations
error traceability is achieved. Finally
correction strategy processes are proposed for different error types
providing theoretical insights for the precise research on electric energy metering in battery energy storage grid-connection.