posted on 2020-09-04, 11:08authored byMahdi Habibi, Vahid VahidinasabVahid Vahidinasab, Damian Giaouris, Adib Allahham, Haris Patsios, phil taylor
This paper proposes a model with two categories of variables
for the storage devices. The SOC of the ESSs of the first
category checks the base schedule of storage during the horizon
of operation to satisfy the time dependence of ESSs’ energy
level, and the second one will ensure the dispatches through any
scenarios. The model links these two categories of variables to be
matched at each time step. Hence, any large violations based on
the occurrence of unexpected situations will be managed by the
operators at real-time decisions.Furthermore, this work considers load forecast errors as a source of uncertainty and considers a stochastic framework with scenarios. The scenario generation is performed using normal distribution function for around the forecasted values of the hourly loads. Then, a scenario reduction method based on probability distance is performed to reduce the computing effort. Other sources of uncertainty can be modeled in the same way.
Funding
This work was supported in part by the inteGRIDy Project through European Union’s H2020 Research and Innovation Programme under Grant 731268.