This dissertation was written as part of the MSc in Energy Systems at the International
Hellenic University. It discusses the subject of optimal sizing and sitting of Battery energy
storage systems that can be installed in a Low Voltage Distribution network,
characterized by high penetration of Photovoltaic generators. The scientific literature
has provided with numerous papers that are dealing with the above problem.
In this thesis, there is an effort to propose an algorithm called Unified Particle Swarm
Optimization, which is a part of metaheuristic methodologies. This algorithm was
developed, for the purposes of this work and provides effective solutions in optimal
sizing and allocating BESS systems. To properly evaluate the efficiency of the algorithm,
there have been numerous simulations in a Low Voltage Distribution Network that
belongs in the PandaPower library and was created by CIGRE with 44 busses.
The algorithm utilizes an objective function that is able to find the total power losses in
the transmission lines of the power grid. The scope is to minimize those power losses by
installing a storage system in a specific bus of the DN. The results are promising, and the
outcome is minimization in power losses by nearly 20%. Furthermore, there is also an
improvement in the voltage profile, since the busses of a DN with high penetration of
PVs are characterized by undervoltage and overvoltage. Those two implementations are
called ancillary services and can play a crucial role in the future.
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