Predictive Approach for Power Quality Improvement Based Direct Power Control

International Journal of Power Electronics and Drive System (IJPEDS)
Vol. 9, No. 2, June 2018, pp. 668~678
ISSN: 2088-8694, DOI: 10.11591/ijpeds.v9.i2.pp668-678  668
Journal homepage: http://iaescore.com/journals/index.php/IJPEDS
Predictive Approach for Power Quality Improvement based
Direct Power Control
Houssam Eddine Medouce1
, Hocine Benalla2
Departement d’electrotechnique, Universite Freres Mentouri, Algeria
Article Info ABSTRACT
Article history:
Received Sep 24, 2017
Revised Jan 11, 2018
Accepted Jan 25, 2018
The extensive use of non-linear loads in industry becomes increasingly a
serious problem that affects the quality of energy delivered to customers.
Therefore, the shunt active power filter (SAPF) has emerged as an important
industrial tool to eliminate induced harmonic currents and compensating of
reactive power. This paper proposes an improved control configuration for
SAPF based on a modern technique called predictive direct power control
(Predictive-DPC). The principle of this control is based on the direct
regulation of the instantaneous active and reactive powers to guarantee a
good energy quality on the grid side. For this purpose the appropriate average
voltage vector which cancels power tracking errors is calculated by a simple
predictive model at the bigining of each control period. This type of control
includes various features such as the lack of look up table (LUTs) and closed
current loops and the constant switching frequency is achieved through the
use of PWM modulation. The results of the simulation process show a high
performance in the steady and transient state function for predictive-DPC
control that might be a reasonable alternative to conventional DPC in the
field of active power filtering.
Keyword:
Direct power control (DPC)
Harmonics
Non-linear load
Predictive model
Shunt active power filter
(SAPF)
Copyright © 2018 Institute of Advanced Engineering and Science.
All rights reserved.
Corresponding Author:
Houssam Eddine Medouce,
Laboratoire d’electrotechnique de Constantine (LEC),
Departement d’electrotechnique, Frères Mentouri University,
Ain El-Bey street 25000, Constantine, Algeria
Email: b.houssam19@hotmail.fr
1. INTRODUCTION
Over the last few decades, the majority of AC electrical systems contain different types of non-
linear loads. The non-linear load induces harmonics that affect the sinusoidal waveforms of the supply
voltage and current. As a conventional solution passive inductance capacitance (LC) filters have been used
used to eliminate line current contamination and to address low power factor. Although this second-order
passive filter solution involves many disadvantages such as aging, tuning problems and resonance
phenomenon, and it is necessary to design a filter for each a harmonic frequency targeted to be removed [1].
In practice has been found that harmonic suppression via a shunt active power filter (SAPF) is more
efficient and more flexible compared to a passive power filter [2–3].
The control of SAPF is experiencing a significant development over time where works in [4-5]
represent actual launch of the idea of of SAPF systems. In the literature [6], Akagi et al. proposed a strategy
based on an algorithm called "P-Q theory". Since then, the P-Q theory has inspired many works dealing with
active filter control strategies [6-17]. As well, control based sliding mode approach [18] and repetitive
control [19] have been presented. As an alternative to conventional vector control, the direct power control
DPC strategy proposed in [20] has opened a new era in the field of power electronics control. DPC control
derives its principles and philosophy from the direct torque control DTC used for adjustable speed drives and
it was proposed in [21]. Unlike to DTC, the DPC control adopts active and reactive powers as control

Int J Pow Elec & Dri Syst ISSN: 2088-8694 
Predictive Approach for Power Quality improvement Based ......(Houssam Eddine Medouce)
669
variables instead of torque and flux in DTC. In contrast of traditional techniques, DPC introduces important
features such as low complexity control system, fast response and ease of implementation. Emergence of
conventional DPC usage for SAPF systems is introduced by [22-23]. Furthermore, a modified DPC applied
for an SAPF system is proposed by [24-25] in order to remedy adverse effects created by unbalance and
distorted grid voltage conditions. As well, multifunctional SAPF system based DPC for a photovoltaic
generator is presented by [26]. In the literature [27], a new control strategy called "predictive DPC technique"
is used for the control of PWM voltage source inverters (VSI’s). The idea was to design a simple mathematic
predictive model has capability to estimate the appropriate voltage reference at every sampling time which
ultimately leads to the cancellation of active and reactive power tracking errors.
In this paper, an improved control configuration has been proposed that incorporates predictive DPC
control featuress in the field of active power filtering. The results and the analysis study which will present
and illustrate in this paper exhibit satisfactory performances with high harmonic elimination efficiency.
2. SYSTEM TOPOLOGY DESCRIPTION AND MODELING
2.1. System description
The configuration of the adopted system is shown in Figure3. The system consists mainly of a
network, a nonlinear load and shunt active power filter (SAPF) unit. Both grid and SAPF unit supply the non-
linear load to provide a pure sine waveform for line current and reactive power compensation in the grid side.
We have assumed that the power grid is balanced and sunusoidal connected in series with with line
impedance . The non-linear load consists of an uncontrolled three-phase rectifier with an inductive load.
In In addition, there is impedance between the common coupling point (PCC) and the non-linear load .
As well there is filter impedance its emplacement between PWM inverter and PCC node and this
structure can consider as a controlled current source (as shown in Figure1) which can generate the shape
required for the harmonic current.
Figure 1. Equivalent circuit of shunt power filtring system.
a. Mathematical model of SAPF
This section presents the detailed mathematical modeling of the different parts of the system
presented in Figure3.
Figure 2. Harmonic elimination system by Figure 3. Detailed scheme for shunt active power filter
using SAPF

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Int J Pow Elec & Dri Syst, Vol. 9, No. 2, June 2018 : 668 – 678
670
The three phase voltage system can be expressed as follow:
(1)
We consider the supply system as symmetrical balanced source:
(2)
From Figure1 and by neglecting source impedance can find the relationship that links between network and
SAPF unit.
(3)
Where: is the converter output voltage and is the grid voltage.
The detailled expression of Eq.3 can be written in the following equation pattern:
(4)
The sum of the first three equations in Eq.4 leads to:
(5)
Substituting Eq.5 in Eq.4 yields
(6)
Can summarize control signals as follow
(7)
With: ;
And

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The Shunt Active Power Filter (SAPF) can be regarded as a controlled current source that generates
the appropriate filter current that is the same as the harmonic current absorbed by the contaminated networks.
In order to In order to provide a reference system based on power quantities, it is necessary to
analyze the instantaneous power balance between the power transmitted by the grid and SAPF unit and
power absorbed by load. With the consideration that , are respectively active and reactive delivered
powers by the grid and , are respectively active and reactive generated powers by the filter and , are
respectively active and reactive consumed powers. The main objective of SAPS is to compensate of the
reactive power and the mitigation of the harmonic currents. This target is possible if the active power on the
grid side is maintained to be equal to the DC component in the load side and grid side reactive power
equal to zero . To ensure this condition, the harmonic power component and the reactive power drawn
by load must be fully powered by the SAPF unit. Thus, the power balance of the system can be written in the
following form:
; ; (8)
(9)
3. THE CONTROL DESIGN OF SAPF
3.1. Conventional direct power control
The instantaneous power calculation needs an algebraic transformation (Concordia transformation)
of the grid three phase voltages and three phase currents from the coordinates to the coordinates.
; (10)
With:
Thus, the instantaneous active and reactive powers values are expressed as [7]:
(11)
Instantaneous power errors expressions:
(12)
Digitized power error signals are given as:
(13)
Where and are the hysteresis bands.
The DPC controller has three main inputs: the location of the source voltage vector and digitized
power errors and . The digitized error signals are obtained using hysteresis comparators to
instantaneous power errors and the position of the grid voltage vector is determined by dividing the space
plane into twelve symmetric sectors. A look up table (LUT) summarizes the appropriate vectors of the
voltage source inverter as can be seen in Table.1. The dc link voltage is regulated by closed loop control and

 ISSN: 2088-8694
672
it depends on the controlling of the active power in grid side, and the unity power factor operation is achieved
by controlling the reactive power to be equal to zero [18].
3.2 Predictive direct power control
The proposed predictive-DPC configuration is based on the direct calculation of the appropriate
average voltage vector of shunt active power filter by using a predictive mathematical model as written in
Eq.19, which drives the active and reactive powers of the instantaneous line to their reference values at the
end of each sampling period which will indirectly force SAPF to generate the required harmonic power
component for the load side, therefore generates the shape current compensation wave which will contribute
to the removal of the contamination included in the side of the grid. Moreover, instantaneous quantities of
active and reactive powers which considered as controlled variables and desired
commands and grid voltage vector components are used as inputs data variables for a
predictive controller block as depicted in Figure4. At the outset of each sampling period , SAPF average
voltage vector is computed, and will cancel instantaneous active and reactive power tracking errors
at the end of the sampling period. Finally, PWM modulator is implemented to generate a pattern of switching
states, with constant switching frequency.
Based on Eq .3 then derivative expression of source current can be written:
(14)
The discrete mathematical model of line current can be expressed as:
(15)
If the sampling period is assumed to be small enough then can consider that variation of grid voltage
over this short time is ignored then .
Based on Eq .11 then instantaneous line power variation over two successive sampling periods can be
written as
(16)
Substuting Eq .15 in Eq .16 yields:
(17)
Can consider the power at instant as the desired power as the control approach tries to drive the
system towards it.
(18)
From Eq .17 and Eq .18 shunt active power filter voltage expression can be extracted as in [25]
(19)

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Figure 4. Design of SAPF control based predictive- DPC
Table 1. System parameters
Symbol Description Value
Grid voltage 80 V
Grid resistance 0.1 Ω
Grid inductance 1 mH
Load side filter
resistance 0.01 Ω
Load side filter
inductance
0.5 mH
Filter input
resistance
0.01 Ω
Filter input
inductance
2 mH
Load resistance 10 Ω
Load inductance 1 mH
DC link capacitance 2200 μF
DC voltage 180 V
4. SIMULATION RESULTS AND DISCUSSION
In order to evaluate the performance of the proposed control configuration of the power filtering
system, a numerical simulations of the whole system were carried out by using environement
Matlab/SIMULINK. The effectiveness of the control mechanism was evaluated by a comparative study with
the conventional control strategy to highlight the positive points and improvements achieved. Simulation
parameters are listed in Table.1. All obtained results are sheduled for both control strategies conventional
and predictive DPC. The performance and robustness of the proposed strategy are tested using two separate
perturbations, which are sudden changes of capacitor voltage and load resistor. The discussion of the results
focuses on three main points, steady state and transient state function introduced by the two strategies and
finally concluded with a comparative study.
Figure 5. Grid power flow by using conventional DPC (a) Active power [Watt], (b) Reactive power[VAR].

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(a) (b)
(c) (d)
Figure 6. Grid power flow by using predictive DPC (a) Active power [Watt], (b) Reactive power[VAR].
(a) (b)
(c) (d)
Figure 7. Steady state performance for phase A by using conventional DPC (a) grid voltage (b) Line current
[A] (c) capacitor voltage[V], (d) Filter current [A].
Figure 8. Steady state performance for phase A by using predictive DPC (a) grid voltage (b) Line current
[A] (c) capacitor voltage[V], (d) Filter current [A].
steady state analysis: Figure 5 and Figure6 display the power flow in the system before and after switching
on the SAPF unit (SAPF ON at time t = 0.2 s) in the case of the use of conventional DPC and predictive DPC
respectively, and also the steady state behavior and level of power ripples have been clarified. Figure7 and
Figure8 represent line voltage, line current, capacitor voltage and filter current in the case of using
conventional DPC and predictive DPC respectively. We can observe that active power is achieved its rated
value and reactive power regulated at zero level in the aim to ensure unity of power factor. capacitor voltage
reaches a steady-state value around = 180 within a few mains periods (3 mains cycles). It is necessary
to recall that capacitor is pre-charged in the aim to avoid start up divergence of input power and undesired
overshot for dc bus voltage.
Transient state analysis: As aforementioned, the system was under the influence of two different
disturbances ( load resistor and capacitor voltage changes) and were examined to evalute system reaction
and response correspending to applied conrol approachs, traditional-DPC and predictive-DPC
respectively.
1. In instant t=0.4 s load resistor is stepped from 10 Ω to 20 Ω
From Figure 9 and Figure 10 when the load resistor has been stepped , the required power decreased
and the grid power flow has been a pretty good dynamic behavior due to the satisfactory performance of
conventional and predictive-DPC controls , and as well the reactive power is controlled to be zero in order
to maintain operation with unity power factor for the system. Furthermore, fast variation of the active power
does not affect the reactive power level which is maintained at its reference value (0 VAR), so that the
decoupled control between the active and the reactive powers is successfully achieved. The robustness of the
system is reflected by the rapid reduction of the line current from = 11 to 6 A due to a decrease in
power absorption but retains a sinusoidal waveform, which means that the filtration function has good
immunity against sudden load variation.
0.15 0.2 0.25 0.3 0.35 0.4
-100
-50
0
50
100
Vs[V]
0.15 0.2 0.25 0.3 0.35 0.4
150
160
170
180
190
200
Vdc[V]
0.15 0.2 0.25 0.3 0.35 0.4
-20
-10
0
10
20
Is[A]
0.15 0.2 0.25 0.3 0.35 0.4
-10
0
10
20
Time[s]
If[A]
0.15 0.2 0.25 0.3 0.35 0.4
-100
-50
0
50
100
Vs[V]
0.15 0.2 0.25 0.3 0.35 0.4
150
160
170
180
190
200
Vdc[V]
0.15 0.2 0.25 0.3 0.35 0.4
-20
-10
0
10
20
Is(A)
0.15 0.2 0.25 0.3 0.35 0.4
-10
0
10
20
Time[s]
If[A]

675
2. In instant t=0.4 s capacitor voltage stepped from 180 V to 200 V
Figure11 and Figure12 present results of a step response against the capacitor voltage disturbance.
As can be seen variation of capacitor voltage has no effect on the level of generated power only temporary
limited disturbance as transient perturbation. The capacitor voltage reaches its new level within 2 to 3 periods
with low overshot which demonstrates satisfactory dynamic performance for dc bus voltage closed loop
regulation. The main issue of a SAPF system is achieving a smooth sinusoidal form of the input current,
under any disturbances encountered.
Comparative study: In order to prove effectiveness and superiority of the predictive-DPC compared to
conventional one which was proposed in [22], a comparative evaluation is done focused on key points such
as: Power ripple, THD factor, and transient response.
The level of input power fluctuation in the steady state as shown in previous results demonstrate a
clear superiority for predictive DPC over conventional one especially in terms of reactive power ripples. For
example the power ripple in conventional DPC case is around 100 VAR whereas for predictive DPC was
restricted to about 50 VAR.
Since the validation of control approachs is done only trought simulation process and with slightly
hight samling frequency so it was expected that conventional-DPC can guarantee that current THD factor
bellow standard threshold. Presented results demonstrate that both control strategies has ability to drive
source current below standard harmonic current limits (IEEE-519). The same results prove the superiority of
proposed predictive DPC than conventional DPC in terms of THD as depicted in Figure 13 with 1.42 % and
2.70 % respectively. And as well can be note that in case of conventional–DPC baseded LUT generates
broadband harmonic spectra whereas predictive-DPC produces deterministic harmonics with dominant
harmonics around the switching frequency.
(a)
(c)
(b)
(d)
Figure 9. Transient state performance for phase A by using predictive DPC (a) grid current (b) Line active
power [W] (c) capacitor voltage[V], (d) Line reactive power [VAR].
(a)
(c)
(b)
(d)
0.3 0.32 0.34 0.36 0.38 0.4 0.42 0.44 0.46 0.48 0.5
-20
-10
0
10
20
Is[A]
0.3 0.35 0.4 0.45 0.5 0.55 0.6
400
600
800
1000
1200
1400
Ps[W]
0.3 0.35 0.4 0.45 0.5 0.55 0.6
160
170
180
190
200
Vdc[V]
0.3 0.35 0.4 0.45 0.5 0.55 0.6
-100
-50
0
50
100
150
Time[s]
Qs[VAR]
0.3 0.32 0.34 0.36 0.38 0.4 0.42 0.44 0.46 0.48 0.5
-20
-10
0
10
20
Is[A]
0.3 0.35 0.4 0.45 0.5 0.55 0.6
400
600
800
1000
1200
1400
Ps[W]
0.3 0.35 0.4 0.45 0.5 0.55 0.6
160
170
180
190
200
Vdc[V]
0.3 0.35 0.4 0.45 0.5 0.55 0.6
-100
-50
0
50
100
150
Time[s]
Qs[VAR]

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(a)
(c)
(b)
(d)
Figure 11. Transient state performance for phase A by using conventional DPC (a) grid current (b) Line
active power [W] (c) capacitor voltage[V], (d) Line reactive power [VAR].
(a)
(c)
(b)
(d)
(a) (b)
(c)
Figure 13. Spectrum harmonic analysis for line current phase-A (a) before filtering (b) filtring using
conventional-DPC strategy (c) filtring using predictive-DPC strategy.
As can be seen from previous results, during start up and transient state operation in case of change
of load or capacitor voltage the two control strategies converge to similar results, which means similarity of
time response ( ) around 3 cycles of ac mains is achieved. Briefly, predictive-DPC control keeps similar
performance as conventional DPC for transient state operation whereas it introduced significant
improvement for the steady state operation.
5. CONCLUSION
This paper has been described an improved configuration for the three-phase SAPF system based on
a predictive approach. This approach adopts a simple predictive model has the ability to generate the
appropriate SAPF voltage reference for the next control cycle according to the data of the current instant. The
0.3 0.32 0.34 0.36 0.38 0.4 0.42 0.44 0.46 0.48 0.5
-20
-10
0
10
20
Is[A]
0.3 0.35 0.4 0.45 0.5 0.55 0.6
500
1000
1500
2000
2500
Ps[W]
0.3 0.35 0.4 0.45 0.5 0.55 0.6
160
180
200
220
Vdc[V]
0.3 0.35 0.4 0.45 0.5 0.55 0.6
-100
0
100
200
300
Time[s]
Qs[VAR]
0.3 0.32 0.34 0.36 0.38 0.4 0.42 0.44 0.46 0.48 0.5
-20
-10
0
10
20
Is[A]
0.3 0.35 0.4 0.45 0.5 0.55 0.6
500
1000
1500
2000
2500
Ps[W]
0.3 0.35 0.4 0.45 0.5 0.55 0.6
160
180
200
220
Vdc[V]
0.3 0.35 0.4 0.45 0.5 0.55 0.6
-100
0
100
200
300
Time[s]
Qs[VAR]
0 5 10 15 20 25
0
50
100
Harmonic order
Fundamental (50Hz) = 10.8 , THD= 21.37%
Mag
(%
of
Fundamental)
0 5 10 15 20 25
0
50
100
Harmonic order
Mag
(%
of
Fundamental)
0 5 10 15 20 25
0
20
40
60
80
100
Harmonic order
Mag
(%
of
Fundamental)

677
accuracy of this algorithm allows the instantaneous elimination of tracking power errors which, in turn,
indirectly contribute to the suppression of the harmonic component in the grid side, which will ensure a
sinusoidal smooth waveform for the input current and a proper grid power with a satisfactory power factor.
The analysis and comparative study carried out in this work allowed to identify the main drawbacks of the
conventional algorithm and key benefits and enhancements offered by the improved control scheme. As wise
findings, improvements obtained by predictive-DPC approach can be summarized as follows: lower steady
state power ripple, smooth sinusoidal line current, lower THD factor and constant switching frequency with
dominant harmonics around basic switching frequency.
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BIOGRAPHIES OF AUTHORS
Houssam Eddine Medouce received his BS in Electrotechnics and MS in management and
transformation of electric energy from the Department of Electrotechnics of Constantine
University, Algeria, respectively in 2009, and 2011. He is interested in control systems , digital
signal processing and power electronics including electric power quality, active power filters,
PWM converters and AC drives.
Hocine Benalla received his BS, MS and Doctorate Engineer degrees in Power Electronics, from
the National Polytechnic Institute of Toulouse, France, respectively in 1981, 1984. In 1995, he
received his PhD in Electrical Engineering from University of Jussieu-Paris VI, France. Since
1996, he is with the Department of Electrotechnics, at Constantine University Algeria, as a
Professor. His current research field includes active power filters, PWM inverters, electric
machines and AC drives.

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