[Zurück]

Bharat Rao, F. Kupzog, M. Kozek:
"Phase Balancing Home Energy Management System Using Model Predictive Control";
ENERGIES, 11 (2018), 3323.

: Most typical distribution networks are unbalanced due to unequal loading on each of the
three phases and untransposed lines. In this paper, models and methods which can handle three-phase
unbalanced scenarios are developed. The authors present a novel three-phase home energy
management system to control both active and reactive power to provide per-phase optimization.
Simplified single-phase algorithms are not sufficient to capture all the complexities a three-phase
unbalance system poses. Distributed generators such as photo-voltaic systems, wind generators,
and loads such as household electric and thermal demand connected to these networks directly
depend on external factors such as weather, ambient temperature, and irradiation. They are also time
dependent, containing daily, weekly, and seasonal cycles. Economic and phase-balanced operation
of such generators and loads is very important to improve energy efficiency and maximize benefit
while respecting consumer needs. Since homes and buildings are expected to consume a large share
of electrical energy of a country, they are the ideal candidate to help solve these issues. The method
developed will include typical distributed generation, loads, and various smart home models which
were constructed using realistic models representing typical homes in Austria. A control scheme
is provided which uses model predictive control with multi-objective mixed-integer quadratic
programming to maximize self-consumption, user comfort and grid support.

three-phase unbalance minimization; model predictive control; home energy management system

http://dx.doi.org/10.3390/en11123323