Bibliographic description:
Milishchuk, Roman. Modeling and model predictive control of batteries to reduce a variability of load: Bachelor Thesis: manuscript / Roman Milishchuk; Supervisor: PhD Tetiana Bohodorova; Ukrainian Catholic University, Department of Computer Sciences. – Lviv: 2021. – 40 p.: ill.
Abstract:
Model Predictive Control (MPC) has shown great success in different industrial
applications, as it allows to have constraints on both, state and inputs. This ensures
that processes will be run under tight performance specifications.
The main goal of this project is to develop an MPC controller which will determine
the optimal operation of the battery, i.e. when and how the battery should
be charged or discharged, by controlling input current for the battery, to reduce the
amount of the money to pay for the required energy. For this task, the battery model
with aging effects, which is able to discharge and charge, will be also developed.
Also, an MPC controller for efficient charging of the battery is developed, which
allows calculating charging strategy, so without changing the charging time, the lifetime
of the battery is prolonged.
Source code 1 is publicly available and can be used for future work in other studies.
