  Tidal Disruption Events (TDEs) are rare transients, which are considered as
promising tools in probing supermassive black holes in quiescent galaxies. The
majority of $\approx 60$ known TDEs has been discovered with time-domain
surveys in the last two decades. Currently, $\approx 10$ TDEs are discovered
per year, and this number will increase with the Legacy Survey of Space and
Time (LSST) at Rubin Observatory. This work evaluates LSST survey strategies in
view of their performance in identifying TDEs. We assume that TDEs can be
identified photometrically based on their colors, particularly $u$-band, and
will be scientifically useful if we can detect the light curve peak to derive
physical quantities. We define requirements for the Rubin light curves needed
to achieve this (detections pre-peak, post-peak, in different bands to measure
colour). We then inject model light curves into the Operations Simulator, and
calculate the fraction of TDEs passing our requirements for several strategies.
We find that under the baseline strategy, $\approx 1.5$\% of simulated TDEs
fulfil our detection criteria, while this number increases when more time is
devoted to $u$-band observations. An ideal observing strategy for photometric
identification of TDEs would have longer $u$-band exposures, which should not
come at the expense of fewer $u$-band visits. A filter distribution weighted
towards more observing time in bluer bands, intra-night visits in different
filters, and strategies with frequent sampling leading to higher quality light
curves are preferred. We find that these strategies benefiting TDE science do
not impact significantly other science cases.
