Predictive Control of Three-Level Active NPC
Converter with Evenly Energy Losses
Distribution
Daniel Andler
∗
, Marcelo Perez
∗
, Jos´ e Rodr´ ıguez
∗
, Steffen Bernet
†
∗
Technical University Federico Santa Mar´ ıa, Valpara´ ıso, Chile.
Email: marcelo.perez@usm.cl
†
Technical University Dresden, Germany.
Email: daniel.andler@mailbox.tu-dresden.de
Abstract—Active NPC voltage source converters feature a
higher degree of controllability than standard NPC convert-
ers due to the additional power switches which allows several
different connections of the neutral point. In this paper, these
switching redundancies are used to minimize and evenly
distribute the energy losses. The predictive control scheme
proposed is separated in two stages: The first one controls
the output reference currents and keeps the dc voltages
balanced. The second stage uses the switching redundancies
given by the ANPC VSC to distribute the energy losses
evenly. The energy balance is performed with a model-based
estimation of the switching and conduction energy losses. In
order to test the proposed algorithm, a comparison of the
energy distribution between the proposed strategy and a
NPC converter is presented.
I. I NTRODUCTION
Neutral Point Clamped voltage source converters (NPC
VSC) have started the research and development of
multilevel converters in the early 1980s [1] and have
gained more and more importance on the market of
the medium voltage converters during the last decades
[2]. Nowadays this technology is mature and can be
found in several industrial applications [3]. This converter
has several attractive features like high reliability and
availability, however it has also important disadvantages
like the dc voltage unbalance and the uneven distribution
of semiconductor losses among the switching devices. As
in every converter, the reduction of power losses is an
essential aspect to increase efficiency, reducing costs and
failures. When the energy losses are not well distributed,
as in the NPC converter, the junction temperature can
be very different among the semiconductors. The highly
stressed devices are prone to failures reducing also the
overall performance of the cooling system. The difference
of energy losses increases with the switching frequency
making the problem even worse. The critical operating
points are located at the boundaries of the converter’s op-
erating area, at maximum modulation depth (m =1.15),
and unity power factors (λ = ±1). Nevertheless, if active
switches are placed instead of the clamping diodes the
loss distribution can be substantially improved. The active
NPC voltage source converter (ANPC VSC) features more
degrees of freedom and, in contrast to the conventional
NPC converter, it has more than one way to clamp the
midpoint. Compared to the conventional NPC topology,
the total losses in the ANPC VSC can be maintained but
better balanced, hence a better thermal balance can be
obtained [4] [5]. This paper presents a Model Predictive
Control (MPC) applied to a 3 level ANPC VSC. This
control method performs a high dynamic current control
[6] and also the DC-voltage balance can be controlled.
Furthermore, a novel predictive loss balance algorithm is
implemented and tested with simulations.
II. ENERGY LOSS ESTIMATION
The semiconductor losses are approximated by analyt-
ical expressions in terms of voltages and currents. The
losses are separated in switching and conduction losses.
The conduction power losses are described by (1), where
V
Γ0
and r
Γ0
are the forward conduction voltage and the
equivalent differential resistance of the device respectively
[4].
P
cond
(I
ph
)= I
ph
· (V
Γ0
+ r
Γ0
· I
ph
) (1)
The conduction energy losses can be calculated in each
sampling interval as
E
sw
=
∫
Ts
p
cond
(t)dt = I
ph
· (V
Γ0
+ r
Γ0
· I
ph
) · T
s
(2)
where T
s
is the sampling time.
The switching losses depend on the current and the
voltage involved in the switching process as well as the
switching frequency. To estimate the switching losses it is
possible to detect in each sampling interval if a switching
transition occurs and approximate the energy losses by a
polynomial function as
E
loss
= K
1
∆i
c
∆V
ce
+ K
2
∆i
c
∆V
2
ce
+ K
3
∆i
2
c
∆V
ce
+K
4
∆V
2
ce
+ K
5
∆i
2
c
∆V
2
ce
, (3)
where K
i
,i =1, 2...5 are obtained from a least-square
approximation of the measured data. This approach con-
siders all physically reasonable terms of the switched
voltage and current. It is possible to neglect terms in order
754
The 2010 International Power Electronics Conference
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